$\"jnick\"$ <\/th>\n	\u7279\u4efb\u52a9\u6559<\/th>\n<\/tr>\n
\n \n Molecule & Life Nonlinear Sciences Laboratory<\/a>, Research Center of Mathematics for Social Creativity, Research Institute for Electronic Science<\/li>\n Graduate School of Life Science, Transdisciplinary Life Science Course<\/a><\/li>\n<\/ol>\n<\/td>\n<\/tr>\n
E-mail: $\"\"$ <\/td>\n<\/tr>\n
TEL: (011)706-9459<\/td>\n<\/tr>\n
FAX: (011)706-9437<\/td>\n<\/tr>\n
\u5c45\u5ba4: Research Institute for Electronic Science, 5th floor, room 203<\/td>\n<\/tr>\n
\u4f4f\u6240: Research Institute for Electronic Science, Hokkaido University, Kita 20 Nishi 10, Kita-ku, Sapporo 001-0020, Japan<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u8ad6\u6587<\/h3>\n 2024<\/h3> [10]<\/span><\/strong>Koji Tabata, Hiroyuki Kawagoe, J Nicholas Taylor, Kentaro Mochizuki, Toshiki Kubo, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki \nOn-the-fly Raman microscopy guaranteeing the accuracy of discrimination<\/b> Proceedings of the National Academy of Sciences of the United States of America<\/i> 121<\/b>(12), pp.e2304866121, (2024)DOI<\/a>: 10.1073\/pnas.2304866121<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n 2023<\/h3> [9]<\/span><\/strong>Nicholas J. Taylor, Aur\u00e9lien P\u00e9lissier, Kentaro Mochizuki, Kosuke Hashimoto, Yasuaki Kumamoto, Yoshinori Harada, Katsumasa Fujita, Thomas Bocklitz, Tamiki Komatsuzaki \nCorrection for Extrinsic Background in Raman Hyperspectral Images<\/b> Analytical Chemistry<\/i> 95<\/b>(33), pp.12298-12305 (2023)DOI<\/a>: 10.1021\/acs.analchem.3c01406<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n [8]<\/span><\/strong>Abdul Halim Bhuiyan, Jean-Emmanuel Cl\u00e9ment, Zannatul Ferdous, Kentaro Mochizuk, Koji Tabata, James Nicholas Taylor, Yasuaki Kumamoto, Yoshinori Harada, Thomas Bocklitz, Katsumasa Fujita, Tamiki Komatsuzaki \nDifferentiability of cell types enhanced by detrending a non-homogeneous pattern in a line-illumination Raman microscope<\/b> The Analyst<\/i> 148<\/b>, pp.3574-3583 (2023)DOI<\/a>: 10.1039\/d3an00516j<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n [7]<\/span><\/strong>Khalifa Mohammad Helal\t, Harsono Cahyadi, Nicholas James Taylor, Akira Okajima, Koji Tabata, Yasuaki Kumamoto, Kentaro Mochizuki, Yoshito Itoh, Tetsuro Takamatsu, Hideo Tanaka, Katsumasa Fujita\t, Tamiki Komatsuzaki\t, Yoshinori Harada \nRaman imaging of rat nonalcoholic fatty liver tissuesreveals distinct biomolecular states<\/b> FEBS Letters<\/i> 597<\/b>(11), pp.1517-1527 (2023)DOI<\/a>: 10.1002\/1873-3468.14600<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n 2022<\/h3> [6]<\/span><\/strong>Michiyo Hayakawa, J Nicholas Taylor, Ryuta Nakao, Kentaro Mochizuki, Yuki Sawai, Kosuke Hashimoto, Koji Tabata, Yasuaki Kumamoto, Katsumasa Fujita, Eiichi Konishi, Shigeru Hirano, Hideo Tanaka, Tamiki Komatsuzaki, Yoshinori Harada \nLipid droplet accumulation and adipophilin expression in follicular thyroid carcinoma<\/b> Biochemical and biophysical research communications<\/i> 640<\/b>, pp.192-201 (2022)DOI<\/a>: 10.1016\/j.bbrc.2022.12.007<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n 2019<\/h3> [5]<\/span><\/strong>Khalifa Mohammad Helal, James Nicholas Taylor, Harsono Cahyadi, Akira Okajima, Koji Tabata, Yoshito Itoh, Hideo Tanaka, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki \nRaman spectroscopic histology using machine learning for nonalcoholic fatty liver disease<\/b> FEBS Letters<\/i> 593<\/b>, pp.2535-2544 (2019)DOI<\/a>: 10.1002\/1873-3468.13520<\/dt> File<\/a> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n [4]<\/span><\/strong>J. Nicholas Taylor, Kentaro Mochizuki, Kosuke Hashimoto, Yasuaki Kumamoto, Yoshinori Harada, Katsumasa Fujita, Tamiki Komatsuzaki \nHigh-Resolution Raman Microscopic Detection of Follicular Thyroid Cancer Cells with Unsupervised Machine Learning<\/b> The Journal of Physical Chemistry B<\/i> 123<\/b>(20), pp.4358-4372 (2019)DOI<\/a>: 10.1021\/acs.jpcb.9b01159<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n 2018<\/h3> [3]<\/span><\/strong>James Nicholas Taylor, Menahem Pirchi, Gilad Haran, Tamiki Komatsuzaki \nDeciphering hierarchical features in the energy landscape of adenylate kinase folding\/unfolding<\/b> The Journal of Chemical Physics<\/i> 148<\/b>, pp.123325-1-123325-14 (2018)DOI<\/a>: 10.1063\/1.5016487<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n 2015<\/h3> [2]<\/span><\/strong>J. N. Taylor, C.-B. Li, D. Cooper, C. F. Landes, T. Komatsuzaki \nError-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series<\/b> Scientific Reports<\/i> 5<\/b>, pp.9174-1-9174-9 (2015)DOI<\/a>: 10.1038\/srep09174<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n 2014<\/h3> [1]<\/span><\/strong>B. Shuang, D. Cooper, J. N. Taylor, L. Kisley, J. Chen, W. Wang, C.-B. Li, T. Komatsuzaki, C. F. Landes \nFast Step Transition and State Identification (STaSI) for Discrete Single-Molecule Data Analysis<\/b> The Journal of Physical Chemistry Letters<\/i> 5<\/b>, pp.3157-3161 (2014)DOI<\/a>: 10.1021\/jz501435p<\/dt> <\/dd><\/dl><\/div><\/div> <\/div> <\/p>\n\n<\/div>\n \u56fd\u5185\u767a\u8868<\/h3>\n 2024<\/h3> [30]<\/span><\/strong>\u7530\u7551 \u516c\u6b21, \u5ddd\u8d8a \u5bdb\u4e4b, J. Taylor, \u671b\u6708 \u5065\u592a\u90ce, \u4e45\u4fdd \u4fca\u8cb4, Jean-Emmanuel Clement, \u718a\u672c \u5eb7\u662d, \u539f\u7530 \u7fa9\u898f, \u4e2d\u6751 \u7be4\u7965, \u85e4\u7530 \u514b\u660c, \u5c0f\u677e\u5d0e \u6c11\u6a39 \u9010\u6b21\u30e9\u30de\u30f3\u8a08\u6e2c\u306b\u3088\u308b\u8fc5\u901f\u8a3a\u65ad<\/strong>\u30002024\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c38\u56de\uff09<\/dt> (5.28-5.31 ,2024), \u30a2\u30af\u30c8\u30b7\u30c6\u30a3\u6d5c\u677e\uff0b\u30aa\u30f3\u30e9\u30a4\u30f3\u3000\u6d5c\u677e\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2024.5<\/strong>. 28) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2023<\/h3> [29]<\/span><\/strong>\u8fd1\u85e4 \u50da\u54c9, James Nicholas Taylor, \u6c34\u91ce \u96c4\u592a, Jean-Emmanuel Clement, \u85e4\u7530 \u514b\u660c, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\u5d0e \u6c11\u6a39 \u30e9\u30de\u30f3\u5206\u5149\u7d44\u7e54\u5b66\u2014\u5316\u5b66\u2013\u7a7a\u9593\u60c5\u5831\u3092\u7528\u3044\u305f\u60c5\u5831\u7406\u8ad6\u7684\u75c5\u614b\u8a55\u4fa1\u2014<\/strong>\u3000\u7b2c25\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt> (5.16-5.19 ,2023), \u8cc7\u751f\u5802 S\/PARK\u30db\u30fc\u30eb\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\u767a\u8868\uff09\u3000\u6a2a\u6d5c\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2023.5<\/strong>. 19) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2022<\/h3> [28]<\/span><\/strong>Abdul Halim Bhuiyan, Jean-Emmanuel Cl\u00e9ment, Kentaro Mochizuki, James Nick Taylor, Koji Tabata, Yuta Mizuno, Atsuyoshi Nakamura, Yoshinori Harada, Katsumasa Fujita, Tamiki Komatsuzaki Understanding the results of black box Convolution Neural Network to identify Follicular thyroid cancer<\/strong>\u3000\u7b2c60\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt> (9.28-9.30 ,2022), \u51fd\u9928\u30a2\u30ea\u30fc\u30ca\u30fb\u51fd\u9928\u5e02\u6c11\u4f1a\u9928\u3000\u51fd\u9928\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2022.9<\/strong>. 29) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [27]<\/span><\/strong>Ryoya Kondo, James Nicholas Taylor, Yuta Mizuno, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki \u60c5\u5831\u7406\u8ad6\u3092\u4f7f\u3063\u305f\u30e9\u30de\u30f3\u753b\u50cf\u306b\u542b\u307e\u308c\u308b\u5316\u5b66\u60c5\u5831\u3068\u5f62\u614b\u60c5\u5831\u306e\u95a2\u4fc2\u6027\u306e\u5b9a\u91cf Quantification of the relationship between chemical and spatial information in Raman images using information theory<\/strong>\u3000\u7b2c60\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt> (9.28-9.30 ,2022), \u51fd\u9928\u30a2\u30ea\u30fc\u30ca\u30fb\u51fd\u9928\u5e02\u6c11\u4f1a\u9928\u3000\u51fd\u9928\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2022.9<\/strong>. 28) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [26]<\/span><\/strong>\u8fd1\u85e4 \u50da\u54c9, James N. Taylor, Jean-Emmanuel CLEMENT, \u6c34\u91ce \u96c4\u592a, \u85e4\u7530 \u514b\u660c, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\u5d0e \u6c11\u6a39 \u30e9\u30de\u30f3\u5206\u5149\u3068\u60c5\u5831\u7406\u8ad6\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u5206\u5b50\u30c7\u30fc\u30bf\u79d1\u5b66\u306e\u5c55\u958b\uff1a\u7a7a\u9593\u4e0d\u5747\u4e00\u6027\u306b\u57fa\u3065 \u304f\u75c5\u614b\u306e\u518d\u5b9a\u7fa9<\/strong>\u3000\u7b2c24\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt> (5.17-5.20 ,2022), \u91d1\u6ca2\u5546\u5de5\u4f1a\u8b70\u6240\u3000\u91d1\u6ca2\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2022.5<\/strong>. 17) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [25]<\/span><\/strong>Zannatul Ferdous, Jean-Emmanuel Clement, James Nicholas Taylor, Koji Tabata, Jian Ping Gong, Katsumasa Fujita, Masumi Tsuda, Shinya Tanaka, Tamiki Komatsuzaki Workflow of Raman Data Preprocessing Using Spatial-Spectral Information Designed for Line Scanning Raman Microscope<\/strong>\u30002021\u5e74\u5ea6\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8-\u6771\u5317\u652f\u90e8\u5408\u540c\u4f8b\u4f1a<\/dt> (3.9-3.9 ,2022), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2022.3<\/strong>. 9) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [24]<\/span><\/strong>\u8fd1\u85e4\u50da\u54c9, James N.Taylor, \u6c34\u91ce\u96c4\u592a, Jean-Emmanuel Clement, \u85e4\u7530\u514b\u660c, \u539f\u7530\u7fa9\u898f, \u5c0f\u677e\u5d0e\u6c11\u6a39 \u60c5\u5831\u7406\u8ad6\u3068\u30e9\u30de\u30f3\u5206\u5149\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u3092\u7528\u3044\u305f\u5316\u5b66\u7684\u4e0d\u5747\u4e00\u6027\u306e\u89e3\u6790<\/strong>\u30002021\u5e74\u5ea6\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8-\u6771\u5317\u652f\u90e8\u5408\u540c\u4f8b\u4f1a<\/dt> (3.9-3.9 ,2022), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2022.3<\/strong>. 9) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2021<\/h3> [23]<\/span><\/strong>\u8fd1\u85e4 \u50da\u54c9, James N.Taylor, Jean-Emmanuel Clement, \u6c34\u91ce \u96c4\u592a, \u85e4\u7530 \u514b\u660c, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\u5d0e \u6c11\u6a39 \u30e9\u30de\u30f3\u5206\u5149\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u306b\u304a\u3051\u308b\u5316\u5b66\u7684\u7a7a\u9593\u4e0d\u5747\u4e00\u6027 \u306b\u57fa\u3065\u3044\u305f\u30d5\u30a1\u30b8\u30fc\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u624b\u6cd5\u306e\u958b\u767a<\/strong>\u3000\u7b2c15\u56de\u5206\u5b50\u79d1\u5b66\u8a0e\u8ad6\u4f1a<\/dt> (9.18-9.21 ,2021), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2021.9<\/strong>. 18) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [22]<\/span><\/strong>\u8fd1\u85e4 \u50da\u54c9, James N. Taylor, Jean-Emmanuel Clement, \u6c34\u91ce \u96c4\u592a, \u85e4\u7530 \u514b\u660c, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\u5d0e \u6c11\u6a39 \u30e9\u30de\u30f3\u5206\u5149\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u306b\u304a\u3051\u308b\u5316\u5b66\u7684\u7a7a\u9593\u4e0d\u5747\u4e00\u6027\u306e\u60c5\u5831\u7406\u8ad6\u89e3\u6790<\/strong>\u3000\u7b2c23\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt> (5.13-5.15 ,2021), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2021.5<\/strong>. 13) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [21]<\/span><\/strong>\u8fd1\u85e4\u50da\u54c9, James N.Taylor, Jean-Emmanuel Clement, \u6c34\u91ce\u96c4\u592a, \u85e4\u7530\u514b\u660c, \u539f\u7530\u7fa9\u898f, \u5c0f\u677e\u5d0e\u6c11\u6a39 \u5316\u5b66\u7684\u4e0d\u5747\u4e00\u6027\u3082\u8003\u616e\u3057\u305f\u30e9\u30de\u30f3\u9855\u5fae\u93e1\u753b\u50cf\u89e3\u6790<\/strong>\u3000\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5b66\u4f1a \u5317\u6d77\u9053\u652f\u90e8\uff0d\u6771\u5317\u652f\u90e8\u5408\u540c\u4f8b\u4f1a<\/dt> (3.8-3.8 ,2021), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2021.3<\/strong>. 8) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [20]<\/span><\/strong>\u8fd1\u85e4\u50da\u54c9, James N. Taylor, Jean-Emmanuel Clement, \u6c34\u91ce\u96c4\u592a, \u85e4\u7530\u514b\u660c, \u539f\u7530\u7fa9\u898f, \u5c0f\u677e\u5d0e\u6c11\u6a39 \u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5316\u5b66\u7684\u4e0d\u5747\u4e00\u6027 \u306e\u60c5\u5831\u3092\u542b\u3080\u30e9\u30de\u30f3\u9855\u5fae\u93e1\u753b\u50cf\u4e2d\u306e\u30b9\u30da\u30af\u30c8\u30eb\u306e\u5206\u985e<\/strong>\u3000\u5316\u5b66\u7cfb\u5b66\u5354\u4f1a\u5317\u6d77\u9053\u652f\u90e82021\u5e74\u51ac\u5b63\u7814\u7a76\u767a\u8868\u4f1a<\/dt> (1.26-1.27 ,2021), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2021.1<\/strong>. 26) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2019<\/h3> [19]<\/span><\/strong>James Nicholas Taylor, Menahem Pirchi, Gilad Haran, \u5c0f\u677e\u5d0e \u6c11\u6a39 \u30a2\u30c7\u30cb\u30ec\u30fc\u30c8\u30ad\u30ca\u30fc\u30bc\u306e\u4e00\u5206\u5b50\u89b3\u5bdf\u30c7\u30fc\u30bf\u304b\u3089\u518d\u69cb\u6210\u3059\u308b\u30a8\u30cd\u30eb\u30ae\u30fc\u5730\u5f62\u306e\u968e\u5c64\u6027<\/strong>\u3000\u7b2c22\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt> (5.27-5.29 ,2019), \u5317\u6d77\u9053\u5927\u5b66 \u5b66\u8853\u4ea4\u6d41\u4f1a\u9928\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2019.5<\/strong>. 29) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [18]<\/span><\/strong>Helal Khalifa Mohammad, Cahyadi Harsono, Taylor J. Nicholas, Okajima Akira, Kumamoto Yasuaki, Tanaka Hideo, Harada Yoshinori, Komatsuzaki Tamiki Analysis of Raman Microscopic Images of Liver Tissu to Predict Non-alcholic Fatty Liver Disease<\/strong>\u3000\u751f\u7269\u7269\u7406\u30fb\u56de\u6298\u69cb\u9020\u751f\u7269\u5b66\u3000\u5408\u540c\u7814\u7a76\u4f1a<\/dt> (3.14 ,2019), \u5317\u6d77\u9053\u5927\u5b66\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2019.3<\/strong>. 14) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [17]<\/span><\/strong>J. Nicholas Taylor High resolution Raman microscopic detection of follicular thyroid cancer cells with unsupervised machine learning<\/strong>\u3000\u30d0\u30a4\u30aa\u60c5\u5831\u8a08\u6e2c\u6280\u8853\u7814\u7a76\u4f1a<\/dt> (3.2-3.3 ,2019), \u30b0\u30ea\u30fc\u30f3\u30d4\u30a2\u5927\u6cbc\u3000\u5317\u6d77\u9053\u8305\u90e8\u90e1\u68ee\u753a (\u53e3\u982d) ( \u767a\u8868\u65e5: 2019.3<\/strong>. 3) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2018<\/h3> [16]<\/span><\/strong>J. Nicholas Taylor, Kentaro Mochizuki, Katsumasa Fujita, Tamiki Komatsuzaki Classification of Raman Spectra of Healthy and Cancerous Human Follicular Thyroid Cells<\/strong>\u3000\u7814\u7a76\u4f1a\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d\uff12\uff10\uff11\uff18<\/dt> (10.4-10.5 ,2018), \u5e83\u5cf6\u5927\u5b66\u7406\u5b66\u90e8\u3000\u5e83\u5cf6\u770c\u6771\u5e83\u5cf6\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2018.10<\/strong>. 4) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [15]<\/span><\/strong>Helal Khalifa Mohammad, Cahyadi Harsono, Taylor J. Nicholas, Okajima Akira, Kumamoto Yasuaki, Tanaka Hideo, Harada Yoshinori, Komatsuzaki Tamiki Machine Learning Approaches to Raman Micro-spectroscopic Images<\/strong>\u3000\u7b2c56\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt> (9.15-9.17 ,2018), \u5ca1\u5c71\u5927\u5b66 \u6d25\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9\u3000\u5ca1\u5c71\u770c\u5ca1\u5c71\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2018.9<\/strong>. 17) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [14]<\/span><\/strong>J. Nicholas Taylor Quantification of Raman Microscopic Images of Human Thyroid Cells with Machine Learning<\/strong>\u3000\u7406\u7814\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u300c\u7d30\u80de\u30b7\u30b9\u30c6\u30e0\u306e\u52d5\u614b\u3068\u8ad6\u7406X\u300d<\/dt> (4.12-4.13 ,2018), \u7406\u5316\u5b66\u7814\u7a76\u6240 \u751f\u7269\u79d1\u5b66\u7814\u7a76\u68df\u3000\u57fc\u7389\u770c\u548c\u5149\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2018.4<\/strong>. 13) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [13]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yasuaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki Mulitivariate Data-driven approach to Raman Hyper-spectral Images to Diagnose Non-alcoholic Fatty Liver Disease(NAFLD)<\/strong>\u30002017\u5e74\u5ea6\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u4f8b\u4f1a<\/dt> (3.20 ,2018), \u5317\u6d77\u9053\u5927\u5b66\u7406\u5b66\u90e85\u53f7\u9928\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2018.3<\/strong>. 20) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2017<\/h3> [12]<\/span><\/strong>\u5c71\u7530 \u5bdb\u5b50, \u7530\u7551 \u516c\u6b21, Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, \u4f0a\u85e4 \u5275\u7950, \u718a\u672c \u5eb7\u662d, \u7530\u4e2d \u79c0\u592e, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\ufa11 \u6c11\u6a39 \u30e9\u30de\u30f3\u30b9\u30da\u30af\u30c8\u30eb\u3067\u7d30\u80de\u306e\u75c5\u614b\u3092\u5206\u3051\u308b\uff0dPCA\u3068\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3092\u7528\u3044\u3066\uff0d<\/strong>\u3000\u7814\u7a76\u4f1a\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d2017<\/dt> (10.6-10.7 ,2017), \u5e83\u5cf6\u5927\u5b66\u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9\u3000\u5e83\u5cf6\u770c\u6771\u5e83\u5cf6\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2017.10<\/strong>. 6) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [11]<\/span><\/strong>Helal\u00a0Khalifa mohammad, Cahyadi\u00a0Harsono, Taylor\u00a0J. nicholas, Okajima\u00a0Akira, Kumamoto\u00a0Yasuaki, Tanaka\u00a0Hideo, Harada\u00a0Yoshinori, Komatsuzaki\u00a0Tamiki Information-theoretical data analysis approaches to Raman micro-spectroscopic images<\/strong>\u3000\u7b2c11\u56de\u5206\u5b50\u79d1\u5b66\u8a0e\u8ad6\u4f1a<\/dt> (9.15-9.18 ,2017), \u6771\u5317\u5927\u5b66\u3000\u5ddd\u5185\u5317\u30ad\u30e3\u30f3\u30d1\u30b9\u3000\u5bae\u57ce\u770c\u4ed9\u53f0\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2017.9<\/strong>. 15) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [10]<\/span><\/strong>J.N. Taylor, C.-B. Li, K. Fujita, T. Komatsuzaki Data-Driven Analysis of Raman Microscopic Images<\/strong>\u3000\u96fb\u5b50\u79d1\u5b66\u7814\u7a76\u6240 \u7814\u7a76\u4ea4\u6d41\u4f1a<\/dt> (1.6 ,2017), \u5317\u6d77\u9053\u5927\u5b66\u96fb\u5b50\u79d1\u5b66\u7814\u7a76\u6240\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2017.1<\/strong>. 6) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2016<\/h3> [9]<\/span><\/strong>J. N. Taylor, K. Fujita, T. Komatsuzaki Data Driven Approaches to Raman Microscopic Analysis<\/strong>\u3000\u7b2c5\uff14\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt> (11.25-11.27 ,2016), \u3064\u304f\u3070\u56fd\u969b\u4f1a\u8b70\u5834\u3000\u8328\u57ce\u770c\u3064\u304f\u3070\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2016.11<\/strong>. 25) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [8]<\/span><\/strong>J. Nicholas Taylor, K. Fujita, T. Komatsuzaki Data-Driven Approaches to Raman Microscopic Image Analysis<\/strong>\u3000\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d\u7814\u7a76\u4f1a2016<\/dt> (10.7-10.8 ,2016), \u5e83\u5cf6\u5927\u5b66\u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9\u3000\u5e83\u5cf6\u770c\u6771\u5e83\u5cf6\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2016.10<\/strong>. 7) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [7]<\/span><\/strong>J. Nicholas Taylor Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong>\u3000Mathematical Sciences Evening Seminar<\/dt> (4.8 ,2016), \u5317\u6d77\u9053\u5927\u5b66\u9060\u53cb\u5b66\u820e\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2016.4<\/strong>. 8) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2015<\/h3> [6]<\/span><\/strong>\u51a8\u6a2b \u7950\u4e00, \u5c0f\u677e\u5d0e \u6c11\u6a39, \u674e \u632f\u98a8, \u5bfa\u672c \u592e, \u65b0\u6d77 \u5275\u4e5f, Holger Flechsig, James Nick Taylor, \u4e2d\u5ddd \u6b63\u57fa \u5c11\u6570\u5206\u5b50\u53cd\u5fdc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7406\u8ad6\u306e\u69cb\u7bc9 (7)<\/strong>\u3000\u65b0\u5b66\u8853\u9818\u57df\u300c\u5c11\u6570\u6027\u751f\u7269\u5b66\u300d\u7b2c\uff19\u56de\u9818\u57df\u4f1a\u8b70<\/dt> (6.5-6.7 ,2015), \u4e07\u56fd\u6d25\u6881\u9928\u3000\u6c96\u7e04\u770c\u540d\u8b77\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2015.6<\/strong>. 6) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [5]<\/span><\/strong>J. Nick Taylor, Chun Biu Li, Tamiki Komatsuzaki Data Scientific Approaches to the Quantification and Interpretation of Raman Microscopic Images of Living Cells<\/strong>\u3000\u65b0\u5b66\u8853\u9818\u57df\u7814\u7a76\u300c\u5c11\u6570\u6027\u751f\u7269\u5b66\u300d\u7b2c8\u56de\u9818\u57df\u4f1a\u8b70<\/dt> (1.29-2.1 ,2015), \u30eb\u30b9\u30c4\u30ea\u30be\u30fc\u30c8\u3000\u867b\u7530\u90e1\u7559\u5bff\u90fd\u6751 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2015.1<\/strong>. 29) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2014<\/h3> [4]<\/span><\/strong>J. Nick Taylor, Chun Biu Li, Tamiki Komatsuzaki Extracting the Underlying Free Energy Landscape Buried in Photon-by- Photon based Single-Molecule Measurements<\/strong>\u3000\u65b0\u5b66\u8853\u9818\u57df\u7814\u7a76\u300c\u5c11\u6570\u6027\u751f\u7269\u5b66\u300d\u7b2c6\u56de\u9818\u57df\u4f1a\u8b70<\/dt> (2. 20-2. 23 ,2014), \u30d2\u30eb\u30c8\u30f3\u30cb\u30bb\u30b3\u30d3\u30ec\u30c3\u30b8\u3000\u5317\u6d77\u9053\u30cb\u30bb\u30b3 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2014.2<\/strong>. 21) <\/dd><\/dl><\/div><\/div> <\/p>\n\n 2013<\/h3> [3]<\/span><\/strong>J.\u3000Nick Taylor, Li Chun-Biu, Kawai Shinnosuke, Komatsuzaki Tamiki An Information-Theoretical approach to Local Equilibrium State Analysis for Single-Molecule Time-Series<\/strong>\u3000\u7b2c51\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt> (10.28-10.30 ,2013), \u56fd\u7acb\u4eac\u90fd\u56fd\u969b\u4f1a\u9928\u3000\u4eac\u90fd\u5e9c\u4eac\u90fd\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2013.10<\/strong>. 30) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [2]<\/span><\/strong>Nick Taylor An Information-Theoretical approach to Local Equilibrium State Analysis for Single-Molecule Time-Series<\/strong>\u3000A Symposium on Single Molecule Biophysics and Cyt c Biochemistry<\/dt> (8.23-8.25 ,2013), \u5b9a\u5c71\u6e13\u30d3\u30e5\u30fc\u30db\u30c6\u30eb\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2013.8<\/strong>. 23) <\/dd><\/dl><\/div><\/div> <\/p>\n\n [1]<\/span><\/strong>\u5c0f\u677e\u5d0e \u6c11\u6a39, Chun Biu Li, \u5bfa\u672c\u592e, \u6cb3\u5408\u4fe1\u4e4b\u8f14, James N. Taylor \u968e\u5c64\u6027\u3068\u591a\u69d8\u6027\u3092\u5185\u5305\u3059\u308b\u751f\u547d\u52d5\u614b\u30b7\u30b9\u30c6\u30e0\u306e\u89e3\u6790\u57fa\u76e4\u5275\u6210<\/strong>\u3000\u5e73\u6210\uff12\uff14\u5e74\u5ea6\u30a2\u30e9\u30a4\u30a2\u30f3\u30b9\u6210\u679c\u5831\u544a\u4f1a<\/dt> (4.23 ,2013), \u5317\u5927\u5b66\u8853\u4ea4\u6d41\u4f1a\u9928 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2013.4<\/strong>. 23) <\/dd><\/dl><\/div><\/div> <\/p>\n\n<\/div>\n \u56fd\u969b\u767a\u8868<\/h3>\n 2024<\/h3> [31]<\/span><\/strong>Ryoya Kondo, Yuta Mizuno, J. Nicholas Taylor, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki Raman histology with information theoretic assessments based on chemo-spatial information<\/strong><\/dt> Biomedical Raman Imaging (BRI) Workshop 2024(11.25-11.27 ,2024), Osaka University, Suita 11<\/strong>, 26 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [30]<\/span><\/strong>Koji Tabata, Hiroyuki Kawagoe, Toshiki Kubo, James N. Taylor, Kentaro Mochizuki, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki Fast and accurate discrimination high-speed Raman imaging combined with multi-armed bandit algorithm in reinforcement learning<\/strong><\/dt> Proc. SPIE 12853, High-Speed Biomedical Imaging and Spectroscopy IX(3.12-3.12 ,2024) 3<\/strong>, 12<\/dd> <\/div><\/div> <\/p>\n\n [29]<\/span><\/strong>Koji Tabata, Hiroyuki Kawagoe, Toshiki Kubo, James N. Taylor, Kentaro Mochizuki, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki Fast and accurate discrimination high-speed Raman imaging combined with multi-armed bandit algorithm in reinforcement learning<\/strong><\/dt> SPIE Photonics West(1.27-2.1 ,2024), The Moscone Center, San Francisco, California, USA 1<\/strong>, 28 (Oral) <\/dd> <\/div><\/div> <\/p>\n\n [28]<\/span><\/strong>Toshiki Kubo, Koji Tabata, Hiroyuki Kawagoe, James Taylor, Jean-Emmanuel Clement, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki On-the-fly slit-scanning confocal Raman microscope guaranteeing the accuracy of discrimination<\/strong><\/dt> SPIE Photonics West(1.27-2.1 ,2024), The Moscone Center, San Francisco, California, USA 1<\/strong>, 27 (Invited, Oral) <\/dd> <\/div><\/div> <\/p>\n\n 2023<\/h3> [27]<\/span><\/strong>Ryoya Kondo, J. Nicholas Taylor, Yuta Mizuno, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki Use of Spatial Chemical Heterogeneity for Raman Histology: An Information Theoretical Analysis<\/strong><\/dt> The 24th RIES-HOKUDAI International Symposium(12.6-12.7 ,2023), Akira Suzuki Hall, Sapporo 12<\/strong>, 6 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [26]<\/span><\/strong>Ryoya Kondo, James Nicholas Taylor, Yuta Mizuno, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki\t Raman Histology: Information Theoretical Evaluation of Disease State Based on Chemical-Spatial Information<\/strong><\/dt> Biomedical Raman Imaging 2023(6.25-6.27 ,2023), Emory University, Atlanta, Georgia, USA 6<\/strong>, 25-26 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n 2022<\/h3> [25]<\/span><\/strong>Jean-Emmanuel Clement, Zannatul Ferdous, James Nicholas Taylor, Koji Tabata, Yoshinori Harada, Masami Tsuda, Shinya Tanaka, Jian Ping Gong, Katsumasa Fujita, Tamiki Komatsuzaki Gaussian Weighted Background Correction for Raman images<\/strong><\/dt> 19th European Conference on the Spectroscopy of Biological Molecules(8.29-9.1 ,2022), University of Reims Champagne-Ardenne, Reims, France 8<\/strong>, 31 (Oral) <\/dd> <\/div><\/div> <\/p>\n\n [24]<\/span><\/strong>Tamiki Komatsuzaki, Koji Tabata, Hiroyuki Kawagoe, James Nicholas Taylor, Kentaro Mochizuki, Toshiki Kubo, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita On-the-fly Raman image microscopy by reinforcement machine learning<\/strong><\/dt> SPIE Photonics Europe 2022(4.3-4.7 ,2022), Palais de la Musique et des Congr\u00e8s, Strasbourg, France 4<\/strong>, 5 (Invited, Oral) <\/dd> <\/div><\/div> <\/p>\n\n 2021<\/h3> [23]<\/span><\/strong>Zannatul Ferdous, Jean-Emmanuel Clement, James Nicholas Taylor, Koji Tabata, Yoshinori Harada, Masami Tsuda, Shinya Tanaka, Jian Ping Gong, Katsumasa Fujita, Tamiki Komatsuzaki Gaussian Weighted Background Correction Scheme for Hyperspectral Raman Data Preprocessing<\/strong><\/dt> The 22nd RIES-HOKUDAI International Symposium(12.6-12.7 ,2021), Online 12<\/strong>, 6 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [22]<\/span><\/strong>Tamiki Komatsuzaki\t, Koji Tabata, Hiroyuki Kawagoe, James Nicholas Taylor\t, Kentaro Mochizuki\t, Jean-Emmanuel Clement\t\t, Yasuaki Kumamoto\t, Atsuyoshi Nakamura\t, Yoshinori Harada\t, Katsumasa Fujita\t On-the-fly Raman image microscopy by reinforcement machine learning<\/strong><\/dt> FACSS SciX 2021(9.26-10.1 ,2021), Rhode Island Convention Center, Providence, RI, USA 9<\/strong>, 30 (Invited, Oral) <\/dd> <\/div><\/div> <\/p>\n\n 2020<\/h3> [21]<\/span><\/strong>Abdul Halim Bhuiyan, Jean-emmanuel Cl\u00e9ment, Kentaro Mochizuki, James Nick Taylor, Koji Tabata, Yuta Mizuno, Atsuyoshi Nakamura, Yoshinori Harada, Katsumasa Fujita, Tamiki Komatsuzaki To classify Raman spectra using Deep Learning Approach<\/strong><\/dt> The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12<\/strong>, 10 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [20]<\/span><\/strong>Ryoya Kondo, James N Taylor, Jean-emmanuel Cl\u00e9ment, Yuta Mizuno, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki Classification of Spectra in Raman Microscopic Image by Chemical Heterogeneity<\/strong><\/dt> The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12<\/strong>, 10 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n 2019<\/h3> [19]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yasuaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki Raman Microscopic Histology using Ensemble Learning for Non-alcoholic Fatty Liver Disease<\/strong><\/dt> The 20th RIES-HOKUDAI International Symposium(12.2-12.3 ,2019), Hokkaido University, Sapporo, Japan 12<\/strong>, 2 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [18]<\/span><\/strong>J. Nicholas Taylor, Kentaro Mochizuki, Kosuke Hashimoto, Yasuaki Kumamoto, Yoshinori Harada, Katsumasa Fujita, Tamiki Komatsuzaki High Resolution Raman Microscopic Detection of Follicular Thyroid Cancer Cells with Unsupervised Machine Learning<\/strong><\/dt> The 20th RIES-HOKUDAI International Symposium(12.2-12.3 ,2019), Hokkaido University, Sapporo, Japan 12<\/strong>, 2 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [17]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yasuaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki Raman Hyperspectral Image Analysis Using Ensemble Learning for Non-alcoholic Fatty Liver Disease<\/strong><\/dt> Biomedical Raman Imaging 2019(11.24-11.26 ,2019), Icho Kaikan, Suita Campus, Osaka University, Osaka, Japan 11<\/strong>, 25 (oral) <\/dd> <\/div><\/div> <\/p>\n\n 2018<\/h3> [16]<\/span><\/strong>J. Nicholas Taylor, Kentaro Mochizuki, Katsumasa Fujita, Tamiki Komatsuzaki Data-Driven Analysis of Raman Microscopic Images of Human Follicular Thyroid Cells<\/strong><\/dt> The 19th RIES-HOKUDAI International Symposium(12.11-12.12 ,2018), Jozankei View Hotel, Sapporo, Hokkaido 12<\/strong>, 11 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [15]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yasuaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki Information-theoretical Approaches to Raman Microscopic Images to Predict Non-alcoholic Fatty Liver Disease<\/strong><\/dt> The 19th RIES-HOKUDAI International Symposium(12.11-12.12 ,2018), Jozankei View Hotel, Sapporo, Hokkaido 12<\/strong>, 11 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n 2017<\/h3> [14]<\/span><\/strong>J. Nicholas Taylor, Tamiki Komatsuzaki Apparent Nonequilibrium Behavior in Single-Molecule FRET Time-Series Induced by Photophysics<\/strong><\/dt> The 18th RIES-Hokudai International Symposium(11.30-12.1 ,2017), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 11<\/strong>, 30 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [13]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yauaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki Raman Microscopic Image Analysis based on Information-theoretic Approach<\/strong><\/dt> The 18th RIES-Hokudai International Symposium(11.30-12.1 ,2017), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 11<\/strong>, 30 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n 2016<\/h3> [12]<\/span><\/strong>J.N. Taylor, Chun-Biu Li, Katsumasa Fujita, Tamiki Komatsuzaki Data-Driven Approaches to Raman Microscopic Image Analysis<\/strong><\/dt> The 17th RIES-Hokudai International Symposium(12.13-12.14 ,2016), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 12<\/strong>, 13 (Poster) <\/dd> <\/div><\/div> <\/p>\n\n [11]<\/span><\/strong>J. Nick Taylor, Almar F. Palonpon, Chun Biu Li, Katsumasa Fujita, Tamiki Komatsuzaki Data-driven quantification of heterogeneous microenvironments in live-cell Raman microscopic images<\/strong><\/dt> The Biophysical Society 2016 BPS Annual Meeting(2.27-3.2 ,2016), Los Angeles Convention Center, Los Angeles, USA 2<\/strong>, 27 (oral) <\/dd> <\/div><\/div> <\/p>\n\n 2015<\/h3> [10]<\/span><\/strong>Nick Taylor, Almar F. Palonpon, Chun Biu Li, Katsumasa Fujita, Tamiki Komatsuzaki Data-driven quantification of heterogeneous microenvironments in live-cell Raman microscopic images<\/strong><\/dt> Symposium #121 Deciphering molecular complexity from protein functions to cellular network (The 2015 International Chemical Congress of Pacific Basin Societies)(12.15-12.16 ,2015), Convention Center, Hawaii, USA 12<\/strong>, 16 (oral) <\/dd> <\/div><\/div> <\/p>\n\n [9]<\/span><\/strong>Nick Taylor, Chun Biu Li, David R. Cooper, Christy F. Landes, Tamiki Komatsuzaki Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong><\/dt> The Complexity of Dynamics Kinetics from Single Molecules to Cells(6.14-6.18 ,2015), Telluride Elementary School, Telluride, CO, U.S. 6<\/strong>, 18 (Oral) <\/dd> <\/div><\/div> <\/p>\n\n [8]<\/span><\/strong>B. Shuang, D. Cooper, J. N. Taylor, L. Kisley, Chen, W. Wang, C.-B. Li, T. Komatsuzaki, C. F. Landes Fast Step Transition and State Identification (STaSI) for Discrete Single-Molecule Data Analysis<\/strong><\/dt> 2015 Oil & Gas High Performance Computing Workshop(3.4-3.5 ,2015), BioScience Research Collaborative (BRC) Building, Rice University, Houston, USA 3<\/strong>, 5 (poster) <\/dd> <\/div><\/div> <\/p>\n\n [7]<\/span><\/strong>Bo Shuang, David Cooper, J. Nick Taylor, Lydia Kisley, Jixin Chen, Wenxiao Wang, Chun Biu Li, Tamiki Komatsuzaki, Chrisy Landes Fast Step Transition and State Identification (STaSI) for Discrete Single-Molecule Data Analysis<\/strong><\/dt> The 2015 Quantitative BioImaging Conference(1.7-1.9 ,2015), Institut Pasteur, Paris, France (poster) <\/dd> <\/div><\/div> <\/p>\n\n 2014<\/h3> [6]<\/span><\/strong>J.N. Taylor, Chun Biu Li, David R. Cooper, Christy F. Landes, Tamiki Komatsuzaki Error-based Extraction of Effective Free Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong><\/dt> The 15th Ries-Hokudai International Symposium \u97ff[hibiki](12.16-12.17 ,2014), CH\u00c2TERAIS\u00c9 Gateaux Kingdom SAPPORO, Sapporo, Hokkaido 12<\/strong>, 16 (poster) <\/dd> <\/div><\/div> <\/p>\n\n [5]<\/span><\/strong>Nick Taylor Extracting Free Energy Landscapes from Noisy Single-Molecule<\/strong><\/dt> Workshop \"What kinds of dynamical feature can we extract from data?\"(8.27-8.28 ,2014), Niseko town center, Niseko, Hokkaido 8<\/strong>, 27 (oral) <\/dd> <\/div><\/div> <\/p>\n\n [4]<\/span><\/strong>Nick Taylor Error-based Extraction of Effective Free Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong><\/dt> Macromolecular dynamics: structure, function and diseases(6.15-7.11 ,2014), Kavli Institute for Theoretical Physics China, Beijing, China 7<\/strong>, 3 (oral) <\/dd> <\/div><\/div> <\/p>\n\n [3]<\/span><\/strong>Nick Taylor Error-based Extraction of Effective Free Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong><\/dt> ICBP 8th IUPAP international conference on biological physics(6.15-7.11 ,2014), Kavli Institute for Theoretical Physics China, Beijing, China 6<\/strong>, 21 (oral) <\/dd> <\/div><\/div> <\/p>\n\n 2013<\/h3> [2]<\/span><\/strong>J. N. Taylor, Chun Biu Li, Shinnosuke Kawai, Tamiki Komatsuzaki An Information-Theoretical Approach to Local Equilibrium State Analysis for Single-Molecule Time-Series<\/strong><\/dt> The 14th RIES-HOKUDAI International Symposium \u7db2[mou](12. 11-12. 12 ,2013), CH\u00c2TERAIS\u00c9 Gateaux Kingdom SAPPORO, Sapporo, Japan 12<\/strong>, 11 (poster) <\/dd> <\/div><\/div> <\/p>\n\n [1]<\/span><\/strong>James N. Taylor, Shinnosuke Kawai, Chun Biu Li, Tamiki Komatsuzaki Let Systems Tell for themselves: Energy Landscape and Complex Network<\/strong><\/dt> G3meeting,Academia Sinica(10.21-10.23 ,2013), Taipei, Taiwan<\/dd> <\/div><\/div> <\/p>\n\n<\/div>\n","protected":false},"excerpt":{"rendered":" \u7279\u4efb\u52a9\u6559 Molecule & Life Nonlinear Sciences Laboratory, Research Center of Mathematics for Social Creativity, […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":24,"menu_order":5,"comment_status":"open","ping_status":"open","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/wp-json\/wp\/v2\/pages\/1626"}],"collection":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/wp-json\/wp\/v2\/comments?post=1626"}],"version-history":[{"count":0,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/wp-json\/wp\/v2\/pages\/1626\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/wp-json\/wp\/v2\/pages\/24"}],"wp:attachment":[{"href":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/wp-json\/wp\/v2\/media?parent=1626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

2024<\/h3>
[10]<\/span><\/strong>Koji Tabata, Hiroyuki Kawagoe, J Nicholas Taylor, Kentaro Mochizuki, Toshiki Kubo, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki
\nOn-the-fly Raman microscopy guaranteeing the accuracy of discrimination<\/b>
Proceedings of the National Academy of Sciences of the United States of America<\/i> 121<\/b>(12), pp.e2304866121, (2024)DOI<\/a>: 10.1073\/pnas.2304866121<\/dt>
<\/dd><\/dl><\/div><\/div>
<\/div>
<\/p>\n\n
2023<\/h3>
[9]<\/span><\/strong>Nicholas J. Taylor, Aur\u00e9lien P\u00e9lissier, Kentaro Mochizuki, Kosuke Hashimoto, Yasuaki Kumamoto, Yoshinori Harada, Katsumasa Fujita, Thomas Bocklitz, Tamiki Komatsuzaki
\nCorrection for Extrinsic Background in Raman Hyperspectral Images<\/b>
Analytical Chemistry<\/i> 95<\/b>(33), pp.12298-12305 (2023)DOI<\/a>: 10.1021\/acs.analchem.3c01406<\/dt>
<\/dd><\/dl><\/div><\/div>
<\/div>
<\/p>\n\n
[8]<\/span><\/strong>Abdul Halim Bhuiyan, Jean-Emmanuel Cl\u00e9ment, Zannatul Ferdous, Kentaro Mochizuk, Koji Tabata, James Nicholas Taylor, Yasuaki Kumamoto, Yoshinori Harada, Thomas Bocklitz, Katsumasa Fujita, Tamiki Komatsuzaki
\nDifferentiability of cell types enhanced by detrending a non-homogeneous pattern in a line-illumination Raman microscope<\/b>
The Analyst<\/i> 148<\/b>, pp.3574-3583 (2023)DOI<\/a>: 10.1039\/d3an00516j<\/dt>
<\/dd><\/dl><\/div><\/div>
<\/div>
<\/p>\n\n
[7]<\/span><\/strong>Khalifa Mohammad Helal\t, Harsono Cahyadi, Nicholas James Taylor, Akira Okajima, Koji Tabata, Yasuaki Kumamoto, Kentaro Mochizuki, Yoshito Itoh, Tetsuro Takamatsu, Hideo Tanaka, Katsumasa Fujita\t, Tamiki Komatsuzaki\t, Yoshinori Harada
\nRaman imaging of rat nonalcoholic fatty liver tissuesreveals distinct biomolecular states<\/b>
FEBS Letters<\/i> 597<\/b>(11), pp.1517-1527 (2023)DOI<\/a>: 10.1002\/1873-3468.14600<\/dt>
<\/dd><\/dl><\/div><\/div>
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<\/p>\n\n
2022<\/h3>
[6]<\/span><\/strong>Michiyo Hayakawa, J Nicholas Taylor, Ryuta Nakao, Kentaro Mochizuki, Yuki Sawai, Kosuke Hashimoto, Koji Tabata, Yasuaki Kumamoto, Katsumasa Fujita, Eiichi Konishi, Shigeru Hirano, Hideo Tanaka, Tamiki Komatsuzaki, Yoshinori Harada
\nLipid droplet accumulation and adipophilin expression in follicular thyroid carcinoma<\/b>
Biochemical and biophysical research communications<\/i> 640<\/b>, pp.192-201 (2022)DOI<\/a>: 10.1016\/j.bbrc.2022.12.007<\/dt>
<\/dd><\/dl><\/div><\/div>
<\/div>
<\/p>\n\n
2019<\/h3>
[5]<\/span><\/strong>Khalifa Mohammad Helal, James Nicholas Taylor, Harsono Cahyadi, Akira Okajima, Koji Tabata, Yoshito Itoh, Hideo Tanaka, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
\nRaman spectroscopic histology using machine learning for nonalcoholic fatty liver disease<\/b>
FEBS Letters<\/i> 593<\/b>, pp.2535-2544 (2019)DOI<\/a>: 10.1002\/1873-3468.13520<\/dt>
File<\/a> <\/dd><\/dl><\/div><\/div>
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<\/p>\n\n
[4]<\/span><\/strong>J. Nicholas Taylor, Kentaro Mochizuki, Kosuke Hashimoto, Yasuaki Kumamoto, Yoshinori Harada, Katsumasa Fujita, Tamiki Komatsuzaki
\nHigh-Resolution Raman Microscopic Detection of Follicular Thyroid Cancer Cells with Unsupervised Machine Learning<\/b>
The Journal of Physical Chemistry B<\/i> 123<\/b>(20), pp.4358-4372 (2019)DOI<\/a>: 10.1021\/acs.jpcb.9b01159<\/dt>
<\/dd><\/dl><\/div><\/div>
<\/div>
<\/p>\n\n
2018<\/h3>
[3]<\/span><\/strong>James Nicholas Taylor, Menahem Pirchi, Gilad Haran, Tamiki Komatsuzaki
\nDeciphering hierarchical features in the energy landscape of adenylate kinase folding\/unfolding<\/b>
The Journal of Chemical Physics<\/i> 148<\/b>, pp.123325-1-123325-14 (2018)DOI<\/a>: 10.1063\/1.5016487<\/dt>
<\/dd><\/dl><\/div><\/div>
<\/div>
<\/p>\n\n
2015<\/h3>
[2]<\/span><\/strong>J. N. Taylor, C.-B. Li, D. Cooper, C. F. Landes, T. Komatsuzaki
\nError-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series<\/b>
Scientific Reports<\/i> 5<\/b>, pp.9174-1-9174-9 (2015)DOI<\/a>: 10.1038\/srep09174<\/dt>
<\/dd><\/dl><\/div><\/div>
<\/div>
<\/p>\n\n
2014<\/h3>
[1]<\/span><\/strong>B. Shuang, D. Cooper, J. N. Taylor, L. Kisley, J. Chen, W. Wang, C.-B. Li, T. Komatsuzaki, C. F. Landes
\nFast Step Transition and State Identification (STaSI) for Discrete Single-Molecule Data Analysis<\/b>
The Journal of Physical Chemistry Letters<\/i> 5<\/b>, pp.3157-3161 (2014)DOI<\/a>: 10.1021\/jz501435p<\/dt>
<\/dd><\/dl><\/div><\/div>
<\/div>
<\/p>\n\n<\/div>\n
\u56fd\u5185\u767a\u8868<\/h3>\n
2024<\/h3>
[30]<\/span><\/strong>\u7530\u7551 \u516c\u6b21, \u5ddd\u8d8a \u5bdb\u4e4b, J. Taylor, \u671b\u6708 \u5065\u592a\u90ce, \u4e45\u4fdd \u4fca\u8cb4, Jean-Emmanuel Clement, \u718a\u672c \u5eb7\u662d, \u539f\u7530 \u7fa9\u898f, \u4e2d\u6751 \u7be4\u7965, \u85e4\u7530 \u514b\u660c, \u5c0f\u677e\u5d0e \u6c11\u6a39
\u9010\u6b21\u30e9\u30de\u30f3\u8a08\u6e2c\u306b\u3088\u308b\u8fc5\u901f\u8a3a\u65ad<\/strong>\u30002024\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c38\u56de\uff09<\/dt>
(5.28-5.31 ,2024), \u30a2\u30af\u30c8\u30b7\u30c6\u30a3\u6d5c\u677e\uff0b\u30aa\u30f3\u30e9\u30a4\u30f3\u3000\u6d5c\u677e\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2024.5<\/strong>. 28) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2023<\/h3>
[29]<\/span><\/strong>\u8fd1\u85e4 \u50da\u54c9, James Nicholas Taylor, \u6c34\u91ce \u96c4\u592a, Jean-Emmanuel Clement, \u85e4\u7530 \u514b\u660c, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\u5d0e \u6c11\u6a39
\u30e9\u30de\u30f3\u5206\u5149\u7d44\u7e54\u5b66\u2014\u5316\u5b66\u2013\u7a7a\u9593\u60c5\u5831\u3092\u7528\u3044\u305f\u60c5\u5831\u7406\u8ad6\u7684\u75c5\u614b\u8a55\u4fa1\u2014<\/strong>\u3000\u7b2c25\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
(5.16-5.19 ,2023), \u8cc7\u751f\u5802 S\/PARK\u30db\u30fc\u30eb\uff08\u30aa\u30f3\u30e9\u30a4\u30f3\u767a\u8868\uff09\u3000\u6a2a\u6d5c\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2023.5<\/strong>. 19) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2022<\/h3>
[28]<\/span><\/strong>Abdul Halim Bhuiyan, Jean-Emmanuel Cl\u00e9ment, Kentaro Mochizuki, James Nick Taylor, Koji Tabata, Yuta Mizuno, Atsuyoshi Nakamura, Yoshinori Harada, Katsumasa Fujita, Tamiki Komatsuzaki
Understanding the results of black box Convolution Neural Network to identify Follicular thyroid cancer<\/strong>\u3000\u7b2c60\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt>
(9.28-9.30 ,2022), \u51fd\u9928\u30a2\u30ea\u30fc\u30ca\u30fb\u51fd\u9928\u5e02\u6c11\u4f1a\u9928\u3000\u51fd\u9928\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2022.9<\/strong>. 29) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[27]<\/span><\/strong>Ryoya Kondo, James Nicholas Taylor, Yuta Mizuno, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
\u60c5\u5831\u7406\u8ad6\u3092\u4f7f\u3063\u305f\u30e9\u30de\u30f3\u753b\u50cf\u306b\u542b\u307e\u308c\u308b\u5316\u5b66\u60c5\u5831\u3068\u5f62\u614b\u60c5\u5831\u306e\u95a2\u4fc2\u6027\u306e\u5b9a\u91cf Quantification of the relationship between chemical and spatial information in Raman images using information theory<\/strong>\u3000\u7b2c60\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt>
(9.28-9.30 ,2022), \u51fd\u9928\u30a2\u30ea\u30fc\u30ca\u30fb\u51fd\u9928\u5e02\u6c11\u4f1a\u9928\u3000\u51fd\u9928\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2022.9<\/strong>. 28) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[26]<\/span><\/strong>\u8fd1\u85e4 \u50da\u54c9, James N. Taylor, Jean-Emmanuel CLEMENT, \u6c34\u91ce \u96c4\u592a, \u85e4\u7530 \u514b\u660c, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\u5d0e \u6c11\u6a39
\u30e9\u30de\u30f3\u5206\u5149\u3068\u60c5\u5831\u7406\u8ad6\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u5206\u5b50\u30c7\u30fc\u30bf\u79d1\u5b66\u306e\u5c55\u958b\uff1a\u7a7a\u9593\u4e0d\u5747\u4e00\u6027\u306b\u57fa\u3065 \u304f\u75c5\u614b\u306e\u518d\u5b9a\u7fa9<\/strong>\u3000\u7b2c24\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
(5.17-5.20 ,2022), \u91d1\u6ca2\u5546\u5de5\u4f1a\u8b70\u6240\u3000\u91d1\u6ca2\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2022.5<\/strong>. 17) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[25]<\/span><\/strong>Zannatul Ferdous, Jean-Emmanuel Clement, James Nicholas Taylor, Koji Tabata, Jian Ping Gong, Katsumasa Fujita, Masumi Tsuda, Shinya Tanaka, Tamiki Komatsuzaki
Workflow of Raman Data Preprocessing Using Spatial-Spectral Information Designed for Line Scanning Raman Microscope<\/strong>\u30002021\u5e74\u5ea6\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8-\u6771\u5317\u652f\u90e8\u5408\u540c\u4f8b\u4f1a<\/dt>
(3.9-3.9 ,2022), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2022.3<\/strong>. 9) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[24]<\/span><\/strong>\u8fd1\u85e4\u50da\u54c9, James N.Taylor, \u6c34\u91ce\u96c4\u592a, Jean-Emmanuel Clement, \u85e4\u7530\u514b\u660c, \u539f\u7530\u7fa9\u898f, \u5c0f\u677e\u5d0e\u6c11\u6a39
\u60c5\u5831\u7406\u8ad6\u3068\u30e9\u30de\u30f3\u5206\u5149\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u3092\u7528\u3044\u305f\u5316\u5b66\u7684\u4e0d\u5747\u4e00\u6027\u306e\u89e3\u6790<\/strong>\u30002021\u5e74\u5ea6\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8-\u6771\u5317\u652f\u90e8\u5408\u540c\u4f8b\u4f1a<\/dt>
(3.9-3.9 ,2022), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2022.3<\/strong>. 9) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2021<\/h3>
[23]<\/span><\/strong>\u8fd1\u85e4 \u50da\u54c9, James N.Taylor, Jean-Emmanuel Clement, \u6c34\u91ce \u96c4\u592a, \u85e4\u7530 \u514b\u660c, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\u5d0e \u6c11\u6a39
\u30e9\u30de\u30f3\u5206\u5149\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u306b\u304a\u3051\u308b\u5316\u5b66\u7684\u7a7a\u9593\u4e0d\u5747\u4e00\u6027 \u306b\u57fa\u3065\u3044\u305f\u30d5\u30a1\u30b8\u30fc\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u624b\u6cd5\u306e\u958b\u767a<\/strong>\u3000\u7b2c15\u56de\u5206\u5b50\u79d1\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
(9.18-9.21 ,2021), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2021.9<\/strong>. 18) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[22]<\/span><\/strong>\u8fd1\u85e4 \u50da\u54c9, James N. Taylor, Jean-Emmanuel Clement, \u6c34\u91ce \u96c4\u592a, \u85e4\u7530 \u514b\u660c, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\u5d0e \u6c11\u6a39
\u30e9\u30de\u30f3\u5206\u5149\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u306b\u304a\u3051\u308b\u5316\u5b66\u7684\u7a7a\u9593\u4e0d\u5747\u4e00\u6027\u306e\u60c5\u5831\u7406\u8ad6\u89e3\u6790<\/strong>\u3000\u7b2c23\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
(5.13-5.15 ,2021), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2021.5<\/strong>. 13) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[21]<\/span><\/strong>\u8fd1\u85e4\u50da\u54c9, James N.Taylor, Jean-Emmanuel Clement, \u6c34\u91ce\u96c4\u592a, \u85e4\u7530\u514b\u660c, \u539f\u7530\u7fa9\u898f, \u5c0f\u677e\u5d0e\u6c11\u6a39
\u5316\u5b66\u7684\u4e0d\u5747\u4e00\u6027\u3082\u8003\u616e\u3057\u305f\u30e9\u30de\u30f3\u9855\u5fae\u93e1\u753b\u50cf\u89e3\u6790<\/strong>\u3000\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5b66\u4f1a \u5317\u6d77\u9053\u652f\u90e8\uff0d\u6771\u5317\u652f\u90e8\u5408\u540c\u4f8b\u4f1a<\/dt>
(3.8-3.8 ,2021), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2021.3<\/strong>. 8) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[20]<\/span><\/strong>\u8fd1\u85e4\u50da\u54c9, James N. Taylor, Jean-Emmanuel Clement, \u6c34\u91ce\u96c4\u592a, \u85e4\u7530\u514b\u660c, \u539f\u7530\u7fa9\u898f, \u5c0f\u677e\u5d0e\u6c11\u6a39
\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u5316\u5b66\u7684\u4e0d\u5747\u4e00\u6027 \u306e\u60c5\u5831\u3092\u542b\u3080\u30e9\u30de\u30f3\u9855\u5fae\u93e1\u753b\u50cf\u4e2d\u306e\u30b9\u30da\u30af\u30c8\u30eb\u306e\u5206\u985e<\/strong>\u3000\u5316\u5b66\u7cfb\u5b66\u5354\u4f1a\u5317\u6d77\u9053\u652f\u90e82021\u5e74\u51ac\u5b63\u7814\u7a76\u767a\u8868\u4f1a<\/dt>
(1.26-1.27 ,2021), \u30aa\u30f3\u30e9\u30a4\u30f3 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2021.1<\/strong>. 26) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2019<\/h3>
[19]<\/span><\/strong>James Nicholas Taylor, Menahem Pirchi, Gilad Haran, \u5c0f\u677e\u5d0e \u6c11\u6a39
\u30a2\u30c7\u30cb\u30ec\u30fc\u30c8\u30ad\u30ca\u30fc\u30bc\u306e\u4e00\u5206\u5b50\u89b3\u5bdf\u30c7\u30fc\u30bf\u304b\u3089\u518d\u69cb\u6210\u3059\u308b\u30a8\u30cd\u30eb\u30ae\u30fc\u5730\u5f62\u306e\u968e\u5c64\u6027<\/strong>\u3000\u7b2c22\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
(5.27-5.29 ,2019), \u5317\u6d77\u9053\u5927\u5b66 \u5b66\u8853\u4ea4\u6d41\u4f1a\u9928\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2019.5<\/strong>. 29) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[18]<\/span><\/strong>Helal Khalifa Mohammad, Cahyadi Harsono, Taylor J. Nicholas, Okajima Akira, Kumamoto Yasuaki, Tanaka Hideo, Harada Yoshinori, Komatsuzaki Tamiki
Analysis of Raman Microscopic Images of Liver Tissu to Predict Non-alcholic Fatty Liver Disease<\/strong>\u3000\u751f\u7269\u7269\u7406\u30fb\u56de\u6298\u69cb\u9020\u751f\u7269\u5b66\u3000\u5408\u540c\u7814\u7a76\u4f1a<\/dt>
(3.14 ,2019), \u5317\u6d77\u9053\u5927\u5b66\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2019.3<\/strong>. 14) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[17]<\/span><\/strong>J. Nicholas Taylor
High resolution Raman microscopic detection of follicular thyroid cancer cells with unsupervised machine learning<\/strong>\u3000\u30d0\u30a4\u30aa\u60c5\u5831\u8a08\u6e2c\u6280\u8853\u7814\u7a76\u4f1a<\/dt>
(3.2-3.3 ,2019), \u30b0\u30ea\u30fc\u30f3\u30d4\u30a2\u5927\u6cbc\u3000\u5317\u6d77\u9053\u8305\u90e8\u90e1\u68ee\u753a (\u53e3\u982d) ( \u767a\u8868\u65e5: 2019.3<\/strong>. 3) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2018<\/h3>
[16]<\/span><\/strong>J. Nicholas Taylor, Kentaro Mochizuki, Katsumasa Fujita, Tamiki Komatsuzaki
Classification of Raman Spectra of Healthy and Cancerous Human Follicular Thyroid Cells<\/strong>\u3000\u7814\u7a76\u4f1a\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d\uff12\uff10\uff11\uff18<\/dt>
(10.4-10.5 ,2018), \u5e83\u5cf6\u5927\u5b66\u7406\u5b66\u90e8\u3000\u5e83\u5cf6\u770c\u6771\u5e83\u5cf6\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2018.10<\/strong>. 4) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[15]<\/span><\/strong>Helal Khalifa Mohammad, Cahyadi Harsono, Taylor J. Nicholas, Okajima Akira, Kumamoto Yasuaki, Tanaka Hideo, Harada Yoshinori, Komatsuzaki Tamiki
Machine Learning Approaches to Raman Micro-spectroscopic Images<\/strong>\u3000\u7b2c56\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt>
(9.15-9.17 ,2018), \u5ca1\u5c71\u5927\u5b66 \u6d25\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9\u3000\u5ca1\u5c71\u770c\u5ca1\u5c71\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2018.9<\/strong>. 17) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[14]<\/span><\/strong>J. Nicholas Taylor
Quantification of Raman Microscopic Images of Human Thyroid Cells with Machine Learning<\/strong>\u3000\u7406\u7814\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u300c\u7d30\u80de\u30b7\u30b9\u30c6\u30e0\u306e\u52d5\u614b\u3068\u8ad6\u7406X\u300d<\/dt>
(4.12-4.13 ,2018), \u7406\u5316\u5b66\u7814\u7a76\u6240 \u751f\u7269\u79d1\u5b66\u7814\u7a76\u68df\u3000\u57fc\u7389\u770c\u548c\u5149\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2018.4<\/strong>. 13) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[13]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yasuaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki
Mulitivariate Data-driven approach to Raman Hyper-spectral Images to Diagnose Non-alcoholic Fatty Liver Disease(NAFLD)<\/strong>\u30002017\u5e74\u5ea6\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\u4f8b\u4f1a<\/dt>
(3.20 ,2018), \u5317\u6d77\u9053\u5927\u5b66\u7406\u5b66\u90e85\u53f7\u9928\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2018.3<\/strong>. 20) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2017<\/h3>
[12]<\/span><\/strong>\u5c71\u7530 \u5bdb\u5b50, \u7530\u7551 \u516c\u6b21, Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, \u4f0a\u85e4 \u5275\u7950, \u718a\u672c \u5eb7\u662d, \u7530\u4e2d \u79c0\u592e, \u539f\u7530 \u7fa9\u898f, \u5c0f\u677e\ufa11 \u6c11\u6a39
\u30e9\u30de\u30f3\u30b9\u30da\u30af\u30c8\u30eb\u3067\u7d30\u80de\u306e\u75c5\u614b\u3092\u5206\u3051\u308b\uff0dPCA\u3068\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\u3092\u7528\u3044\u3066\uff0d<\/strong>\u3000\u7814\u7a76\u4f1a\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d2017<\/dt>
(10.6-10.7 ,2017), \u5e83\u5cf6\u5927\u5b66\u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9\u3000\u5e83\u5cf6\u770c\u6771\u5e83\u5cf6\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2017.10<\/strong>. 6) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[11]<\/span><\/strong>Helal\u00a0Khalifa mohammad, Cahyadi\u00a0Harsono, Taylor\u00a0J. nicholas, Okajima\u00a0Akira, Kumamoto\u00a0Yasuaki, Tanaka\u00a0Hideo, Harada\u00a0Yoshinori, Komatsuzaki\u00a0Tamiki
Information-theoretical data analysis approaches to Raman micro-spectroscopic images<\/strong>\u3000\u7b2c11\u56de\u5206\u5b50\u79d1\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
(9.15-9.18 ,2017), \u6771\u5317\u5927\u5b66\u3000\u5ddd\u5185\u5317\u30ad\u30e3\u30f3\u30d1\u30b9\u3000\u5bae\u57ce\u770c\u4ed9\u53f0\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2017.9<\/strong>. 15) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[10]<\/span><\/strong>J.N. Taylor, C.-B. Li, K. Fujita, T. Komatsuzaki
Data-Driven Analysis of Raman Microscopic Images<\/strong>\u3000\u96fb\u5b50\u79d1\u5b66\u7814\u7a76\u6240 \u7814\u7a76\u4ea4\u6d41\u4f1a<\/dt>
(1.6 ,2017), \u5317\u6d77\u9053\u5927\u5b66\u96fb\u5b50\u79d1\u5b66\u7814\u7a76\u6240\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2017.1<\/strong>. 6) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2016<\/h3>
[9]<\/span><\/strong>J. N. Taylor, K. Fujita, T. Komatsuzaki
Data Driven Approaches to Raman Microscopic Analysis<\/strong>\u3000\u7b2c5\uff14\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt>
(11.25-11.27 ,2016), \u3064\u304f\u3070\u56fd\u969b\u4f1a\u8b70\u5834\u3000\u8328\u57ce\u770c\u3064\u304f\u3070\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2016.11<\/strong>. 25) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[8]<\/span><\/strong>J. Nicholas Taylor, K. Fujita, T. Komatsuzaki
Data-Driven Approaches to Raman Microscopic Image Analysis<\/strong>\u3000\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d\u7814\u7a76\u4f1a2016<\/dt>
(10.7-10.8 ,2016), \u5e83\u5cf6\u5927\u5b66\u6771\u5e83\u5cf6\u30ad\u30e3\u30f3\u30d1\u30b9\u3000\u5e83\u5cf6\u770c\u6771\u5e83\u5cf6\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2016.10<\/strong>. 7) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[7]<\/span><\/strong>J. Nicholas Taylor
Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong>\u3000Mathematical Sciences Evening Seminar<\/dt>
(4.8 ,2016), \u5317\u6d77\u9053\u5927\u5b66\u9060\u53cb\u5b66\u820e\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2016.4<\/strong>. 8) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2015<\/h3>
[6]<\/span><\/strong>\u51a8\u6a2b \u7950\u4e00, \u5c0f\u677e\u5d0e \u6c11\u6a39, \u674e \u632f\u98a8, \u5bfa\u672c \u592e, \u65b0\u6d77 \u5275\u4e5f, Holger Flechsig, James Nick Taylor, \u4e2d\u5ddd \u6b63\u57fa
\u5c11\u6570\u5206\u5b50\u53cd\u5fdc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7406\u8ad6\u306e\u69cb\u7bc9 (7)<\/strong>\u3000\u65b0\u5b66\u8853\u9818\u57df\u300c\u5c11\u6570\u6027\u751f\u7269\u5b66\u300d\u7b2c\uff19\u56de\u9818\u57df\u4f1a\u8b70<\/dt>
(6.5-6.7 ,2015), \u4e07\u56fd\u6d25\u6881\u9928\u3000\u6c96\u7e04\u770c\u540d\u8b77\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2015.6<\/strong>. 6) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[5]<\/span><\/strong>J. Nick Taylor, Chun Biu Li, Tamiki Komatsuzaki
Data Scientific Approaches to the Quantification and Interpretation of Raman Microscopic Images of Living Cells<\/strong>\u3000\u65b0\u5b66\u8853\u9818\u57df\u7814\u7a76\u300c\u5c11\u6570\u6027\u751f\u7269\u5b66\u300d\u7b2c8\u56de\u9818\u57df\u4f1a\u8b70<\/dt>
(1.29-2.1 ,2015), \u30eb\u30b9\u30c4\u30ea\u30be\u30fc\u30c8\u3000\u867b\u7530\u90e1\u7559\u5bff\u90fd\u6751 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2015.1<\/strong>. 29) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2014<\/h3>
[4]<\/span><\/strong>J. Nick Taylor, Chun Biu Li, Tamiki Komatsuzaki
Extracting the Underlying Free Energy Landscape Buried in Photon-by- Photon based Single-Molecule Measurements<\/strong>\u3000\u65b0\u5b66\u8853\u9818\u57df\u7814\u7a76\u300c\u5c11\u6570\u6027\u751f\u7269\u5b66\u300d\u7b2c6\u56de\u9818\u57df\u4f1a\u8b70<\/dt>
(2. 20-2. 23 ,2014), \u30d2\u30eb\u30c8\u30f3\u30cb\u30bb\u30b3\u30d3\u30ec\u30c3\u30b8\u3000\u5317\u6d77\u9053\u30cb\u30bb\u30b3 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2014.2<\/strong>. 21) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
2013<\/h3>
[3]<\/span><\/strong>J.\u3000Nick Taylor, Li Chun-Biu, Kawai Shinnosuke, Komatsuzaki Tamiki
An Information-Theoretical approach to Local Equilibrium State Analysis for Single-Molecule Time-Series<\/strong>\u3000\u7b2c51\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt>
(10.28-10.30 ,2013), \u56fd\u7acb\u4eac\u90fd\u56fd\u969b\u4f1a\u9928\u3000\u4eac\u90fd\u5e9c\u4eac\u90fd\u5e02 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2013.10<\/strong>. 30) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[2]<\/span><\/strong>Nick Taylor
An Information-Theoretical approach to Local Equilibrium State Analysis for Single-Molecule Time-Series<\/strong>\u3000A Symposium on Single Molecule Biophysics and Cyt c Biochemistry<\/dt>
(8.23-8.25 ,2013), \u5b9a\u5c71\u6e13\u30d3\u30e5\u30fc\u30db\u30c6\u30eb\u3000\u5317\u6d77\u9053\u672d\u5e4c\u5e02 (\u53e3\u982d) ( \u767a\u8868\u65e5: 2013.8<\/strong>. 23) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n
[1]<\/span><\/strong>\u5c0f\u677e\u5d0e \u6c11\u6a39, Chun Biu Li, \u5bfa\u672c\u592e, \u6cb3\u5408\u4fe1\u4e4b\u8f14, James N. Taylor
\u968e\u5c64\u6027\u3068\u591a\u69d8\u6027\u3092\u5185\u5305\u3059\u308b\u751f\u547d\u52d5\u614b\u30b7\u30b9\u30c6\u30e0\u306e\u89e3\u6790\u57fa\u76e4\u5275\u6210<\/strong>\u3000\u5e73\u6210\uff12\uff14\u5e74\u5ea6\u30a2\u30e9\u30a4\u30a2\u30f3\u30b9\u6210\u679c\u5831\u544a\u4f1a<\/dt>
(4.23 ,2013), \u5317\u5927\u5b66\u8853\u4ea4\u6d41\u4f1a\u9928 (\u30dd\u30b9\u30bf\u30fc) ( \u767a\u8868\u65e5: 2013.4<\/strong>. 23) <\/dd><\/dl><\/div><\/div>
<\/p>\n\n<\/div>\n
\u56fd\u969b\u767a\u8868<\/h3>\n
2024<\/h3>
[31]<\/span><\/strong>Ryoya Kondo, Yuta Mizuno, J. Nicholas Taylor, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
Raman histology with information theoretic assessments based on chemo-spatial information<\/strong><\/dt>
Biomedical Raman Imaging (BRI) Workshop 2024(11.25-11.27 ,2024), Osaka University, Suita 11<\/strong>, 26 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[30]<\/span><\/strong>Koji Tabata, Hiroyuki Kawagoe, Toshiki Kubo, James N. Taylor, Kentaro Mochizuki, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki
Fast and accurate discrimination high-speed Raman imaging combined with multi-armed bandit algorithm in reinforcement learning<\/strong><\/dt>
Proc. SPIE 12853, High-Speed Biomedical Imaging and Spectroscopy IX(3.12-3.12 ,2024) 3<\/strong>, 12<\/dd>
<\/div><\/div>
<\/p>\n\n
[29]<\/span><\/strong>Koji Tabata, Hiroyuki Kawagoe, Toshiki Kubo, James N. Taylor, Kentaro Mochizuki, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki
Fast and accurate discrimination high-speed Raman imaging combined with multi-armed bandit algorithm in reinforcement learning<\/strong><\/dt>
SPIE Photonics West(1.27-2.1 ,2024), The Moscone Center, San Francisco, California, USA 1<\/strong>, 28 (Oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
[28]<\/span><\/strong>Toshiki Kubo, Koji Tabata, Hiroyuki Kawagoe, James Taylor, Jean-Emmanuel Clement, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki
On-the-fly slit-scanning confocal Raman microscope guaranteeing the accuracy of discrimination<\/strong><\/dt>
SPIE Photonics West(1.27-2.1 ,2024), The Moscone Center, San Francisco, California, USA 1<\/strong>, 27 (Invited, Oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
2023<\/h3>
[27]<\/span><\/strong>Ryoya Kondo, J. Nicholas Taylor, Yuta Mizuno, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
Use of Spatial Chemical Heterogeneity for Raman Histology: An Information Theoretical Analysis<\/strong><\/dt>
The 24th RIES-HOKUDAI International Symposium(12.6-12.7 ,2023), Akira Suzuki Hall, Sapporo 12<\/strong>, 6 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[26]<\/span><\/strong>Ryoya Kondo, James Nicholas Taylor, Yuta Mizuno, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki\t
Raman Histology: Information Theoretical Evaluation of Disease State Based on Chemical-Spatial Information<\/strong><\/dt>
Biomedical Raman Imaging 2023(6.25-6.27 ,2023), Emory University, Atlanta, Georgia, USA 6<\/strong>, 25-26 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
2022<\/h3>
[25]<\/span><\/strong>Jean-Emmanuel Clement, Zannatul Ferdous, James Nicholas Taylor, Koji Tabata, Yoshinori Harada, Masami Tsuda, Shinya Tanaka, Jian Ping Gong, Katsumasa Fujita, Tamiki Komatsuzaki
Gaussian Weighted Background Correction for Raman images<\/strong><\/dt>
19th European Conference on the Spectroscopy of Biological Molecules(8.29-9.1 ,2022), University of Reims Champagne-Ardenne, Reims, France 8<\/strong>, 31 (Oral) <\/dd>
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<\/p>\n\n
[24]<\/span><\/strong>Tamiki Komatsuzaki, Koji Tabata, Hiroyuki Kawagoe, James Nicholas Taylor, Kentaro Mochizuki, Toshiki Kubo, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita
On-the-fly Raman image microscopy by reinforcement machine learning<\/strong><\/dt>
SPIE Photonics Europe 2022(4.3-4.7 ,2022), Palais de la Musique et des Congr\u00e8s, Strasbourg, France 4<\/strong>, 5 (Invited, Oral) <\/dd>
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<\/p>\n\n
2021<\/h3>
[23]<\/span><\/strong>Zannatul Ferdous, Jean-Emmanuel Clement, James Nicholas Taylor, Koji Tabata, Yoshinori Harada, Masami Tsuda, Shinya Tanaka, Jian Ping Gong, Katsumasa Fujita, Tamiki Komatsuzaki
Gaussian Weighted Background Correction Scheme for Hyperspectral Raman Data Preprocessing<\/strong><\/dt>
The 22nd RIES-HOKUDAI International Symposium(12.6-12.7 ,2021), Online 12<\/strong>, 6 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[22]<\/span><\/strong>Tamiki Komatsuzaki\t, Koji Tabata, Hiroyuki Kawagoe, James Nicholas Taylor\t, Kentaro Mochizuki\t, Jean-Emmanuel Clement\t\t, Yasuaki Kumamoto\t, Atsuyoshi Nakamura\t, Yoshinori Harada\t, Katsumasa Fujita\t
On-the-fly Raman image microscopy by reinforcement machine learning<\/strong><\/dt>
FACSS SciX 2021(9.26-10.1 ,2021), Rhode Island Convention Center, Providence, RI, USA 9<\/strong>, 30 (Invited, Oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
2020<\/h3>
[21]<\/span><\/strong>Abdul Halim Bhuiyan, Jean-emmanuel Cl\u00e9ment, Kentaro Mochizuki, James Nick Taylor, Koji Tabata, Yuta Mizuno, Atsuyoshi Nakamura, Yoshinori Harada, Katsumasa Fujita, Tamiki Komatsuzaki
To classify Raman spectra using Deep Learning Approach<\/strong><\/dt>
The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12<\/strong>, 10 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[20]<\/span><\/strong>Ryoya Kondo, James N Taylor, Jean-emmanuel Cl\u00e9ment, Yuta Mizuno, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
Classification of Spectra in Raman Microscopic Image by Chemical Heterogeneity<\/strong><\/dt>
The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12<\/strong>, 10 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
2019<\/h3>
[19]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yasuaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki
Raman Microscopic Histology using Ensemble Learning for Non-alcoholic Fatty Liver Disease<\/strong><\/dt>
The 20th RIES-HOKUDAI International Symposium(12.2-12.3 ,2019), Hokkaido University, Sapporo, Japan 12<\/strong>, 2 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[18]<\/span><\/strong>J. Nicholas Taylor, Kentaro Mochizuki, Kosuke Hashimoto, Yasuaki Kumamoto, Yoshinori Harada, Katsumasa Fujita, Tamiki Komatsuzaki
High Resolution Raman Microscopic Detection of Follicular Thyroid Cancer Cells with Unsupervised Machine Learning<\/strong><\/dt>
The 20th RIES-HOKUDAI International Symposium(12.2-12.3 ,2019), Hokkaido University, Sapporo, Japan 12<\/strong>, 2 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[17]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yasuaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki
Raman Hyperspectral Image Analysis Using Ensemble Learning for Non-alcoholic Fatty Liver Disease<\/strong><\/dt>
Biomedical Raman Imaging 2019(11.24-11.26 ,2019), Icho Kaikan, Suita Campus, Osaka University, Osaka, Japan 11<\/strong>, 25 (oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
2018<\/h3>
[16]<\/span><\/strong>J. Nicholas Taylor, Kentaro Mochizuki, Katsumasa Fujita, Tamiki Komatsuzaki
Data-Driven Analysis of Raman Microscopic Images of Human Follicular Thyroid Cells<\/strong><\/dt>
The 19th RIES-HOKUDAI International Symposium(12.11-12.12 ,2018), Jozankei View Hotel, Sapporo, Hokkaido 12<\/strong>, 11 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[15]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yasuaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki
Information-theoretical Approaches to Raman Microscopic Images to Predict Non-alcoholic Fatty Liver Disease<\/strong><\/dt>
The 19th RIES-HOKUDAI International Symposium(12.11-12.12 ,2018), Jozankei View Hotel, Sapporo, Hokkaido 12<\/strong>, 11 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
2017<\/h3>
[14]<\/span><\/strong>J. Nicholas Taylor, Tamiki Komatsuzaki
Apparent Nonequilibrium Behavior in Single-Molecule FRET Time-Series Induced by Photophysics<\/strong><\/dt>
The 18th RIES-Hokudai International Symposium(11.30-12.1 ,2017), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 11<\/strong>, 30 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[13]<\/span><\/strong>Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, Akira Okajima, Yauaki Kumamoto, Hideo Tanaka, Yoshinori Harada, Tamiki Komatsuzaki
Raman Microscopic Image Analysis based on Information-theoretic Approach<\/strong><\/dt>
The 18th RIES-Hokudai International Symposium(11.30-12.1 ,2017), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 11<\/strong>, 30 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
2016<\/h3>
[12]<\/span><\/strong>J.N. Taylor, Chun-Biu Li, Katsumasa Fujita, Tamiki Komatsuzaki
Data-Driven Approaches to Raman Microscopic Image Analysis<\/strong><\/dt>
The 17th RIES-Hokudai International Symposium(12.13-12.14 ,2016), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 12<\/strong>, 13 (Poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[11]<\/span><\/strong>J. Nick Taylor, Almar F. Palonpon, Chun Biu Li, Katsumasa Fujita, Tamiki Komatsuzaki
Data-driven quantification of heterogeneous microenvironments in live-cell Raman microscopic images<\/strong><\/dt>
The Biophysical Society 2016 BPS Annual Meeting(2.27-3.2 ,2016), Los Angeles Convention Center, Los Angeles, USA 2<\/strong>, 27 (oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
2015<\/h3>
[10]<\/span><\/strong>Nick Taylor, Almar F. Palonpon, Chun Biu Li, Katsumasa Fujita, Tamiki Komatsuzaki
Data-driven quantification of heterogeneous microenvironments in live-cell Raman microscopic images<\/strong><\/dt>
Symposium #121 Deciphering molecular complexity from protein functions to cellular network (The 2015 International Chemical Congress of Pacific Basin Societies)(12.15-12.16 ,2015), Convention Center, Hawaii, USA 12<\/strong>, 16 (oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
[9]<\/span><\/strong>Nick Taylor, Chun Biu Li, David R. Cooper, Christy F. Landes, Tamiki Komatsuzaki
Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong><\/dt>
The Complexity of Dynamics Kinetics from Single Molecules to Cells(6.14-6.18 ,2015), Telluride Elementary School, Telluride, CO, U.S. 6<\/strong>, 18 (Oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
[8]<\/span><\/strong>B. Shuang, D. Cooper, J. N. Taylor, L. Kisley, Chen, W. Wang, C.-B. Li, T. Komatsuzaki, C. F. Landes
Fast Step Transition and State Identification (STaSI) for Discrete Single-Molecule Data Analysis<\/strong><\/dt>
2015 Oil & Gas High Performance Computing Workshop(3.4-3.5 ,2015), BioScience Research Collaborative (BRC) Building, Rice University, Houston, USA 3<\/strong>, 5 (poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[7]<\/span><\/strong>Bo Shuang, David Cooper, J. Nick Taylor, Lydia Kisley, Jixin Chen, Wenxiao Wang, Chun Biu Li, Tamiki Komatsuzaki, Chrisy Landes
Fast Step Transition and State Identification (STaSI) for Discrete Single-Molecule Data Analysis<\/strong><\/dt>
The 2015 Quantitative BioImaging Conference(1.7-1.9 ,2015), Institut Pasteur, Paris, France (poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
2014<\/h3>
[6]<\/span><\/strong>J.N. Taylor, Chun Biu Li, David R. Cooper, Christy F. Landes, Tamiki Komatsuzaki
Error-based Extraction of Effective Free Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong><\/dt>
The 15th Ries-Hokudai International Symposium \u97ff[hibiki](12.16-12.17 ,2014), CH\u00c2TERAIS\u00c9 Gateaux Kingdom SAPPORO, Sapporo, Hokkaido 12<\/strong>, 16 (poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[5]<\/span><\/strong>Nick Taylor
Extracting Free Energy Landscapes from Noisy Single-Molecule<\/strong><\/dt>
Workshop \"What kinds of dynamical feature can we extract from data?\"(8.27-8.28 ,2014), Niseko town center, Niseko, Hokkaido 8<\/strong>, 27 (oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
[4]<\/span><\/strong>Nick Taylor
Error-based Extraction of Effective Free Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong><\/dt>
Macromolecular dynamics: structure, function and diseases(6.15-7.11 ,2014), Kavli Institute for Theoretical Physics China, Beijing, China 7<\/strong>, 3 (oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
[3]<\/span><\/strong>Nick Taylor
Error-based Extraction of Effective Free Energy Landscapes from Experimental Single-Molecule Time-Series<\/strong><\/dt>
ICBP 8th IUPAP international conference on biological physics(6.15-7.11 ,2014), Kavli Institute for Theoretical Physics China, Beijing, China 6<\/strong>, 21 (oral) <\/dd>
<\/div><\/div>
<\/p>\n\n
2013<\/h3>
[2]<\/span><\/strong>J. N. Taylor, Chun Biu Li, Shinnosuke Kawai, Tamiki Komatsuzaki
An Information-Theoretical Approach to Local Equilibrium State Analysis for Single-Molecule Time-Series<\/strong><\/dt>
The 14th RIES-HOKUDAI International Symposium \u7db2[mou](12. 11-12. 12 ,2013), CH\u00c2TERAIS\u00c9 Gateaux Kingdom SAPPORO, Sapporo, Japan 12<\/strong>, 11 (poster) <\/dd>
<\/div><\/div>
<\/p>\n\n
[1]<\/span><\/strong>James N. Taylor, Shinnosuke Kawai, Chun Biu Li, Tamiki Komatsuzaki
Let Systems Tell for themselves: Energy Landscape and Complex Network<\/strong><\/dt>
G3meeting,Academia Sinica(10.21-10.23 ,2013), Taipei, Taiwan<\/dd>
<\/div><\/div>
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