最終更新日 : 2014/02/17

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James N. Taylor

	特任助教
	Molecule & Life Nonlinear Sciences Laboratory, Research Center of Mathematics for Social Creativity, Research Institute for Electronic Science Graduate School of Life Science, Transdisciplinary Life Science Course
	E-mail:
	TEL: (011)706-9459
	FAX: (011)706-9437
	居室: Research Institute for Electronic Science, 5th floor, room 203
	住所: Research Institute for Electronic Science, Hokkaido University, Kita 20 Nishi 10, Kita-ku, Sapporo 001-0020, Japan

論文

2024

[10]Koji Tabata, Hiroyuki Kawagoe, J Nicholas Taylor, Kentaro Mochizuki, Toshiki Kubo, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki
On-the-fly Raman microscopy guaranteeing the accuracy of discrimination
Proceedings of the National Academy of Sciences of the United States of America 121(12), pp.e2304866121, (2024)
DOI: 10.1073/pnas.2304866121

2023

[9]Nicholas J. Taylor, Aurélien Pélissier, Kentaro Mochizuki, Kosuke Hashimoto, Yasuaki Kumamoto, Yoshinori Harada, Katsumasa Fujita, Thomas Bocklitz, Tamiki Komatsuzaki
Correction for Extrinsic Background in Raman Hyperspectral Images
Analytical Chemistry 95(33), pp.12298-12305 (2023)
DOI: 10.1021/acs.analchem.3c01406

[8]Abdul Halim Bhuiyan, Jean-Emmanuel Clément, Zannatul Ferdous, Kentaro Mochizuk, Koji Tabata, James Nicholas Taylor, Yasuaki Kumamoto, Yoshinori Harada, Thomas Bocklitz, Katsumasa Fujita, Tamiki Komatsuzaki
Differentiability of cell types enhanced by detrending a non-homogeneous pattern in a line-illumination Raman microscope
The Analyst 148, pp.3574-3583 (2023)
DOI: 10.1039/d3an00516j

[7]Khalifa Mohammad Helal , Harsono Cahyadi, Nicholas James Taylor, Akira Okajima, Koji Tabata, Yasuaki Kumamoto, Kentaro Mochizuki, Yoshito Itoh, Tetsuro Takamatsu, Hideo Tanaka, Katsumasa Fujita , Tamiki Komatsuzaki , Yoshinori Harada
Raman imaging of rat nonalcoholic fatty liver tissuesreveals distinct biomolecular states
FEBS Letters 597(11), pp.1517-1527 (2023)
DOI: 10.1002/1873-3468.14600

2022

[6]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
Lipid droplet accumulation and adipophilin expression in follicular thyroid carcinoma
Biochemical and biophysical research communications 640, pp.192-201 (2022)
DOI: 10.1016/j.bbrc.2022.12.007

2019

[5]Khalifa Mohammad Helal, James Nicholas Taylor, Harsono Cahyadi, Akira Okajima, Koji Tabata, Yoshito Itoh, Hideo Tanaka, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
Raman spectroscopic histology using machine learning for nonalcoholic fatty liver disease
FEBS Letters 593, pp.2535-2544 (2019)
DOI: 10.1002/1873-3468.13520: File

[4]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
The Journal of Physical Chemistry B 123(20), pp.4358-4372 (2019)
DOI: 10.1021/acs.jpcb.9b01159

2018

[3]James Nicholas Taylor, Menahem Pirchi, Gilad Haran, Tamiki Komatsuzaki
Deciphering hierarchical features in the energy landscape of adenylate kinase folding/unfolding
The Journal of Chemical Physics 148, pp.123325-1-123325-14 (2018)
DOI: 10.1063/1.5016487

2015

[2]J. N. Taylor, C.-B. Li, D. Cooper, C. F. Landes, T. Komatsuzaki
Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series
Scientific Reports 5, pp.9174-1-9174-9 (2015)
DOI: 10.1038/srep09174

2014

[1]B. Shuang, D. Cooper, J. N. Taylor, L. Kisley, J. Chen, W. Wang, C.-B. Li, T. Komatsuzaki, C. F. Landes
Fast Step Transition and State Identification (STaSI) for Discrete Single-Molecule Data Analysis
The Journal of Physical Chemistry Letters 5, pp.3157-3161 (2014)
DOI: 10.1021/jz501435p

国内発表

2024

[30]田畑公次, 川越寛之, J. Taylor, 望月健太郎, 久保俊貴, Jean-Emmanuel Clement, 熊本康昭, 原田義規, 中村篤祥, 藤田克昌, 小松崎民樹
逐次ラマン計測による迅速診断　2024年度人工知能学会全国大会（第38回）: (5.28-5.31 ,2024), アクトシティ浜松＋オンライン　浜松市 (口頭) ( 発表日: 2024.5. 28)

2023

[29]近藤僚哉, James Nicholas Taylor, 水野雄太, Jean-Emmanuel Clement, 藤田克昌, 原田義規, 小松崎民樹
ラマン分光組織学—化学–空間情報を用いた情報理論的病態評価—　第25回理論化学討論会: (5.16-5.19 ,2023), 資生堂 S/PARKホール（オンライン発表）　横浜市 (ポスター) ( 発表日: 2023.5. 19)

2022

[28]Abdul Halim Bhuiyan, Jean-Emmanuel Clément, 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　第60回日本生物物理学会年会: (9.28-9.30 ,2022), 函館アリーナ・函館市民会館　函館市 (ポスター) ( 発表日: 2022.9. 29)

[27]Ryoya Kondo, James Nicholas Taylor, Yuta Mizuno, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
情報理論を使ったラマン画像に含まれる化学情報と形態情報の関係性の定量 Quantification of the relationship between chemical and spatial information in Raman images using information theory　第60回日本生物物理学会年会: (9.28-9.30 ,2022), 函館アリーナ・函館市民会館　函館市 (ポスター) ( 発表日: 2022.9. 28)

[26]近藤僚哉, James N. Taylor, Jean-Emmanuel CLEMENT, 水野雄太, 藤田克昌, 原田義規, 小松崎民樹
ラマン分光と情報理論を組み合わせた分子データ科学の展開：空間不均一性に基づく病態の再定義　第24回理論化学討論会: (5.17-5.20 ,2022), 金沢商工会議所　金沢市 (口頭) ( 発表日: 2022.5. 17)

[25]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　2021年度生物物理学会北海道支部-東北支部合同例会: (3.9-3.9 ,2022), オンライン (口頭) ( 発表日: 2022.3. 9)

[24]近藤僚哉, James N.Taylor, 水野雄太, Jean-Emmanuel Clement, 藤田克昌, 原田義規, 小松崎民樹
情報理論とラマン分光イメージングを用いた化学的不均一性の解析　2021年度生物物理学会北海道支部-東北支部合同例会: (3.9-3.9 ,2022), オンライン (口頭) ( 発表日: 2022.3. 9)

2021

[23]近藤僚哉, James N.Taylor, Jean-Emmanuel Clement, 水野雄太, 藤田克昌, 原田義規, 小松崎民樹
ラマン分光イメージングにおける化学的空間不均一性に基づいたファジークラスタリング手法の開発　第15回分子科学討論会: (9.18-9.21 ,2021), オンライン (ポスター) ( 発表日: 2021.9. 18)

[22]近藤僚哉, James N. Taylor, Jean-Emmanuel Clement, 水野雄太, 藤田克昌, 原田義規, 小松崎民樹
ラマン分光イメージングにおける化学的空間不均一性の情報理論解析　第23回理論化学討論会: (5.13-5.15 ,2021), オンライン (ポスター) ( 発表日: 2021.5. 13)

[21]近藤僚哉, James N.Taylor, Jean-Emmanuel Clement, 水野雄太, 藤田克昌, 原田義規, 小松崎民樹
化学的不均一性も考慮したラマン顕微鏡画像解析　生物物理学会学会北海道支部－東北支部合同例会: (3.8-3.8 ,2021), オンライン (口頭) ( 発表日: 2021.3. 8)

[20]近藤僚哉, James N. Taylor, Jean-Emmanuel Clement, 水野雄太, 藤田克昌, 原田義規, 小松崎民樹
機械学習を用いた化学的不均一性の情報を含むラマン顕微鏡画像中のスペクトルの分類　化学系学協会北海道支部2021年冬季研究発表会: (1.26-1.27 ,2021), オンライン (ポスター) ( 発表日: 2021.1. 26)

2019

[19]James Nicholas Taylor, Menahem Pirchi, Gilad Haran, 小松崎民樹
アデニレートキナーゼの一分子観察データから再構成するエネルギー地形の階層性　第22回理論化学討論会: (5.27-5.29 ,2019), 北海道大学学術交流会館　北海道札幌市 (口頭) ( 発表日: 2019.5. 29)

[18]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　生物物理・回折構造生物学　合同研究会: (3.14 ,2019), 北海道大学　北海道札幌市 (口頭) ( 発表日: 2019.3. 14)

[17]J. Nicholas Taylor
High resolution Raman microscopic detection of follicular thyroid cancer cells with unsupervised machine learning　バイオ情報計測技術研究会: (3.2-3.3 ,2019), グリーンピア大沼　北海道茅部郡森町 (口頭) ( 発表日: 2019.3. 3)

2018

[16]J. Nicholas Taylor, Kentaro Mochizuki, Katsumasa Fujita, Tamiki Komatsuzaki
Classification of Raman Spectra of Healthy and Cancerous Human Follicular Thyroid Cells　研究会「理論と実験」２０１８: (10.4-10.5 ,2018), 広島大学理学部　広島県東広島市 (口頭) ( 発表日: 2018.10. 4)

[15]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　第56回日本生物物理学会年会: (9.15-9.17 ,2018), 岡山大学津島キャンパス　岡山県岡山市 (ポスター) ( 発表日: 2018.9. 17)

[14]J. Nicholas Taylor
Quantification of Raman Microscopic Images of Human Thyroid Cells with Machine Learning　理研シンポジウム「細胞システムの動態と論理X」: (4.12-4.13 ,2018), 理化学研究所生物科学研究棟　埼玉県和光市 (口頭) ( 発表日: 2018.4. 13)

[13]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)　2017年度日本生物物理学会北海道支部例会: (3.20 ,2018), 北海道大学理学部5号館　北海道札幌市 (口頭) ( 発表日: 2018.3. 20)

2017

[12]山田寛子, 田畑公次, Khalifa Mohammad Helal, Harsono Cahyadi, J. Nicholas Taylor, 伊藤創祐, 熊本康昭, 田中秀央, 原田義規, 小松﨑民樹
ラマンスペクトルで細胞の病態を分ける－PCAとランダムフォレストを用いて－　研究会「理論と実験」2017: (10.6-10.7 ,2017), 広島大学東広島キャンパス　広島県東広島市 (ポスター) ( 発表日: 2017.10. 6)

[11]Helal Khalifa mohammad, Cahyadi Harsono, Taylor J. nicholas, Okajima Akira, Kumamoto Yasuaki, Tanaka Hideo, Harada Yoshinori, Komatsuzaki Tamiki
Information-theoretical data analysis approaches to Raman micro-spectroscopic images　第11回分子科学討論会: (9.15-9.18 ,2017), 東北大学　川内北キャンパス　宮城県仙台市 (口頭) ( 発表日: 2017.9. 15)

[10]J.N. Taylor, C.-B. Li, K. Fujita, T. Komatsuzaki
Data-Driven Analysis of Raman Microscopic Images　電子科学研究所研究交流会: (1.6 ,2017), 北海道大学電子科学研究所　北海道札幌市 (ポスター) ( 発表日: 2017.1. 6)

2016

[9]J. N. Taylor, K. Fujita, T. Komatsuzaki
Data Driven Approaches to Raman Microscopic Analysis　第5４回日本生物物理学会年会: (11.25-11.27 ,2016), つくば国際会議場　茨城県つくば市 (ポスター) ( 発表日: 2016.11. 25)

[8]J. Nicholas Taylor, K. Fujita, T. Komatsuzaki
Data-Driven Approaches to Raman Microscopic Image Analysis　「理論と実験」研究会2016: (10.7-10.8 ,2016), 広島大学東広島キャンパス　広島県東広島市 (口頭) ( 発表日: 2016.10. 7)

[7]J. Nicholas Taylor
Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series　Mathematical Sciences Evening Seminar: (4.8 ,2016), 北海道大学遠友学舎　北海道札幌市 (口頭) ( 発表日: 2016.4. 8)

2015

[6]冨樫祐一, 小松崎民樹, 李振風, 寺本央, 新海創也, Holger Flechsig, James Nick Taylor, 中川正基
少数分子反応ネットワーク理論の構築 (7)　新学術領域「少数性生物学」第９回領域会議: (6.5-6.7 ,2015), 万国津梁館　沖縄県名護市 (口頭) ( 発表日: 2015.6. 6)

[5]J. Nick Taylor, Chun Biu Li, Tamiki Komatsuzaki
Data Scientific Approaches to the Quantification and Interpretation of Raman Microscopic Images of Living Cells　新学術領域研究「少数性生物学」第8回領域会議: (1.29-2.1 ,2015), ルスツリゾート　虻田郡留寿都村 (ポスター) ( 発表日: 2015.1. 29)

2014

[4]J. Nick Taylor, Chun Biu Li, Tamiki Komatsuzaki
Extracting the Underlying Free Energy Landscape Buried in Photon-by- Photon based Single-Molecule Measurements　新学術領域研究「少数性生物学」第6回領域会議: (2. 20-2. 23 ,2014), ヒルトンニセコビレッジ　北海道ニセコ (ポスター) ( 発表日: 2014.2. 21)

2013

[3]J.　Nick Taylor, Li Chun-Biu, Kawai Shinnosuke, Komatsuzaki Tamiki
An Information-Theoretical approach to Local Equilibrium State Analysis for Single-Molecule Time-Series　第51回日本生物物理学会年会: (10.28-10.30 ,2013), 国立京都国際会館　京都府京都市 (ポスター) ( 発表日: 2013.10. 30)

[2]Nick Taylor
An Information-Theoretical approach to Local Equilibrium State Analysis for Single-Molecule Time-Series　A Symposium on Single Molecule Biophysics and Cyt c Biochemistry: (8.23-8.25 ,2013), 定山渓ビューホテル　北海道札幌市 (口頭) ( 発表日: 2013.8. 23)

[1]小松崎民樹, Chun Biu Li, 寺本央, 河合信之輔, James N. Taylor
階層性と多様性を内包する生命動態システムの解析基盤創成　平成２４年度アライアンス成果報告会: (4.23 ,2013), 北大学術交流会館 (ポスター) ( 発表日: 2013.4. 23)

国際発表

2024

[31]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: Biomedical Raman Imaging (BRI) Workshop 2024(11.25-11.27 ,2024), Osaka University, Suita 11, 26 (Poster)

[30]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: Proc. SPIE 12853, High-Speed Biomedical Imaging and Spectroscopy IX(3.12-3.12 ,2024) 3, 12

[29]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: SPIE Photonics West(1.27-2.1 ,2024), The Moscone Center, San Francisco, California, USA 1, 28 (Oral)

[28]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: SPIE Photonics West(1.27-2.1 ,2024), The Moscone Center, San Francisco, California, USA 1, 27 (Invited, Oral)

2023

[27]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: The 24th RIES-HOKUDAI International Symposium(12.6-12.7 ,2023), Akira Suzuki Hall, Sapporo 12, 6 (Poster)

[26]Ryoya Kondo, James Nicholas Taylor, Yuta Mizuno, Jean-Emmanuel Clement, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
Raman Histology: Information Theoretical Evaluation of Disease State Based on Chemical-Spatial Information: Biomedical Raman Imaging 2023(6.25-6.27 ,2023), Emory University, Atlanta, Georgia, USA 6, 25-26 (Poster)

2022

[25]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: 19th European Conference on the Spectroscopy of Biological Molecules(8.29-9.1 ,2022), University of Reims Champagne-Ardenne, Reims, France 8, 31 (Oral)

[24]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: SPIE Photonics Europe 2022(4.3-4.7 ,2022), Palais de la Musique et des Congrès, Strasbourg, France 4, 5 (Invited, Oral)

2021

[23]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: The 22nd RIES-HOKUDAI International Symposium(12.6-12.7 ,2021), Online 12, 6 (Poster)

[22]Tamiki Komatsuzaki , Koji Tabata, Hiroyuki Kawagoe, James Nicholas Taylor , Kentaro Mochizuki , Jean-Emmanuel Clement , Yasuaki Kumamoto , Atsuyoshi Nakamura , Yoshinori Harada , Katsumasa Fujita
On-the-fly Raman image microscopy by reinforcement machine learning: FACSS SciX 2021(9.26-10.1 ,2021), Rhode Island Convention Center, Providence, RI, USA 9, 30 (Invited, Oral)

2020

[21]Abdul Halim Bhuiyan, Jean-emmanuel Clément, 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: The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12, 10 (Poster)

[20]Ryoya Kondo, James N Taylor, Jean-emmanuel Clément, Yuta Mizuno, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
Classification of Spectra in Raman Microscopic Image by Chemical Heterogeneity: The 21st RIES-HOKUDAI International Symposium(12.10-12.11 ,2020), Online, Sapporo 12, 10 (Poster)

2019

[19]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: The 20th RIES-HOKUDAI International Symposium(12.2-12.3 ,2019), Hokkaido University, Sapporo, Japan 12, 2 (Poster)

[18]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: The 20th RIES-HOKUDAI International Symposium(12.2-12.3 ,2019), Hokkaido University, Sapporo, Japan 12, 2 (Poster)

[17]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: Biomedical Raman Imaging 2019(11.24-11.26 ,2019), Icho Kaikan, Suita Campus, Osaka University, Osaka, Japan 11, 25 (oral)

2018

[16]J. Nicholas Taylor, Kentaro Mochizuki, Katsumasa Fujita, Tamiki Komatsuzaki
Data-Driven Analysis of Raman Microscopic Images of Human Follicular Thyroid Cells: The 19th RIES-HOKUDAI International Symposium(12.11-12.12 ,2018), Jozankei View Hotel, Sapporo, Hokkaido 12, 11 (Poster)

[15]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: The 19th RIES-HOKUDAI International Symposium(12.11-12.12 ,2018), Jozankei View Hotel, Sapporo, Hokkaido 12, 11 (Poster)

2017

[14]J. Nicholas Taylor, Tamiki Komatsuzaki
Apparent Nonequilibrium Behavior in Single-Molecule FRET Time-Series Induced by Photophysics: The 18th RIES-Hokudai International Symposium(11.30-12.1 ,2017), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 11, 30 (Poster)

[13]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: The 18th RIES-Hokudai International Symposium(11.30-12.1 ,2017), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 11, 30 (Poster)

2016

[12]J.N. Taylor, Chun-Biu Li, Katsumasa Fujita, Tamiki Komatsuzaki
Data-Driven Approaches to Raman Microscopic Image Analysis: The 17th RIES-Hokudai International Symposium(12.13-12.14 ,2016), Chateraise Gateaux Kingdom Sapporo, Sapporo, Hokkaido 12, 13 (Poster)

[11]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: The Biophysical Society 2016 BPS Annual Meeting(2.27-3.2 ,2016), Los Angeles Convention Center, Los Angeles, USA 2, 27 (oral)

2015

[10]Nick Taylor, Almar F. Palonpon, Chun Biu Li, Katsumasa Fujita, Tamiki Komatsuzaki
Data-driven quantification of heterogeneous microenvironments in live-cell Raman microscopic images: 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, 16 (oral)

[9]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: The Complexity of Dynamics Kinetics from Single Molecules to Cells(6.14-6.18 ,2015), Telluride Elementary School, Telluride, CO, U.S. 6, 18 (Oral)

[8]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: 2015 Oil & Gas High Performance Computing Workshop(3.4-3.5 ,2015), BioScience Research Collaborative (BRC) Building, Rice University, Houston, USA 3, 5 (poster)

[7]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: The 2015 Quantitative BioImaging Conference(1.7-1.9 ,2015), Institut Pasteur, Paris, France (poster)

2014

[6]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: The 15th Ries-Hokudai International Symposium 響[hibiki](12.16-12.17 ,2014), CHÂTERAISÉ Gateaux Kingdom SAPPORO, Sapporo, Hokkaido 12, 16 (poster)

[5]Nick Taylor
Extracting Free Energy Landscapes from Noisy Single-Molecule: Workshop "What kinds of dynamical feature can we extract from data?"(8.27-8.28 ,2014), Niseko town center, Niseko, Hokkaido 8, 27 (oral)

[4]Nick Taylor
Error-based Extraction of Effective Free Energy Landscapes from Experimental Single-Molecule Time-Series: Macromolecular dynamics: structure, function and diseases(6.15-7.11 ,2014), Kavli Institute for Theoretical Physics China, Beijing, China 7, 3 (oral)

[3]Nick Taylor
Error-based Extraction of Effective Free Energy Landscapes from Experimental Single-Molecule Time-Series: ICBP 8th IUPAP international conference on biological physics(6.15-7.11 ,2014), Kavli Institute for Theoretical Physics China, Beijing, China 6, 21 (oral)

2013

[2]J. N. Taylor, Chun Biu Li, Shinnosuke Kawai, Tamiki Komatsuzaki
An Information-Theoretical Approach to Local Equilibrium State Analysis for Single-Molecule Time-Series: The 14th RIES-HOKUDAI International Symposium 網[mou](12. 11-12. 12 ,2013), CHÂTERAISÉ Gateaux Kingdom SAPPORO, Sapporo, Japan 12, 11 (poster)

[1]James N. Taylor, Shinnosuke Kawai, Chun Biu Li, Tamiki Komatsuzaki
Let Systems Tell for themselves: Energy Landscape and Complex Network: G3meeting,Academia Sinica(10.21-10.23 ,2013), Taipei, Taiwan