成蹊大学理工学部
Faculty of Science and Technology, Seikei University

データ駆動計測研究室（青柳研）

学生の学術誌・国際学会発表リスト
（2024年以降）

学生が第一著者の論文・学会発表を掲載。

更新日：

2024年｜学術誌論文1件・ポスター発表16件・学生賞1件

学術誌論文

タンデム質量分析計を搭載した飛行時間型二次イオン質量分析法と機械学習による海洋プラスチックの評価

増田哲也、藤田美弥、植野富和、林大介、青柳里果

表面と真空, 67(11), 563–568 (2024).

DOI: 10.1380/vss.67.563

国際学会発表

SISS-23

The 23rd Scientific International Symposium on SIMS and Related Techniques Based on Ion-Solid Interactions

開催日：2024年6月13日～14日｜開催地：Tokyo, Japan（Tokyo University of Science）

発表：5件（ポスター）｜発表者：大学院生5名

The interaction between a biomolecule used as a beauty ingredient and stratum corneum

Erika Nakata1, Miya Fujita2, Tomikazu Ueno2, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 JSR Corporation, 100 Kawajiri-Cho, Yokkaichi, Mie, 510-8552 Japan

Peptide prediction in ToF-SIMS spectra of peptide and lipid mixture samples using supervised machine learning with modified labels

Mine Iwahori1, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

Organic material prediction system from ToF-SIMS spectra using Random Forest and molecule annotation based on SMILES

Tetsuya Masuda1, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

Quantitative analyses of secondary ion mass spectra of organic mixture samples using a simple artificial neural network

Yuzuki Kiuchi1, Matija Lagator2, Nicholas Lockyer2, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Department of Chemistry, The University of Manchester, UK

Evaluation of diclofenac permeation into human skin using ToF-SIMS

Atsumi Shinozaki1, Kazuhiro Matsuda2, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Surface Science Laboratories, Toray Research Center, Inc.

SIMS-24

The 24th International Conference on Secondary Ion Mass Spectrometry

開催日：2024年9月8日～13日｜開催地：La Rochelle, France

発表：4件（ポスター）｜発表者：大学院生4名｜受賞：学生賞1件

The evaluation of the permeation of a beauty ingredient derived from a biomolecule to stratum corneum

Erika Nakata1, Miya Fujita2, Tomikazu Ueno2, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 JSR Corporation, 100 Kawajiri-Cho, Yokkaichi, Mie, 510-8552 Japan

Development of a new annotation method for predicting organic molecules in ToF-SIMS spectra using machine learning

Tetsuya Masuda1, Miya Fujita2, Tomikazu Ueno2, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 JSR Corporation, 100 Kawajiri-Cho, Yokkaichi, Mie, 510-8552 Japan

Molecule prediction in ToF-SIMS spectra for peptide and lipid mixture samples using machine learning

Mine Iwahori1, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

Quantitative and qualitative analyses of mass spectra of organic electroluminescent (OEL) mixed samples using supervised machine learning

受賞：学生賞（Student Award）

Yuzuki Kiuchi1, Matija Lagator2, Nicholas Lockyer2, Kazutaka Ishikawa3, Masayuki Okamoto3, Yohei Murayama4, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Department of Chemistry, The University of Manchester, UK

3 Analytical Science Research Laboratory, Kao Corp.

4 Specialty Chemicals Development Center, Peripheral Products Operations, Canon Inc.

PSA-24

The 9th International Symposium on Practical Surface Analysis

開催日：2024年11月17日～22日｜開催地：Busan, Korea（Paradise Hotel）

発表：7件（ポスター）｜発表者：大学院生3名・学部4年生4名

Analysis of electron backscatter diffraction raw data, Kikuchi patterns, using machine learning

Kazuma Takeishi1, Yoshihisa Matsumoto2, Akiko N. Itakura3, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Department of Mechanical Engineering, National Institute of Technology, Oita College

3 National Institute for Materials Science (NIMS)

Evaluation of diclofenac permeation into human skin using ToF-SIMS

Atsumi Shinozaki1, Kazuhiro Matsuda2, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Surface Science Laboratories, Toray Research Center, Inc.

Evaluation of the image fusion data of hydrogen distribution by operando hydrogen microscope and crystal structure distributions

Yuki Sano1, Yoshihisa Matsumoto2, Akiko N. Itakura3, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Department of Mechanical Engineering, National Institute of Technology, Oita College

3 National Institute for Materials Science (NIMS)

Interpretation of ToF-SIMS depth profiles of mycelium coils in an orchid mycorrhiza of Cephalanthera falcata using sparse autoencoder

Hikaru Yamaguchi1, Shohei Hananoki2, Masahide Yamato3, Hiroyuki Hashimoto4, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Sekisui Chemical Co., Ltd., Osaka

3 Faculty of Education, Chiba University, Chiba

4 Comprehensive Research Organization for Science and Society (CROSS), Ibaraki

Evaluation of quantitative analysis of OrbiSIMS spectra using ANN-based supervised learning method

Shun Shibayama1, Anya Eyres2, Jean-Luc Vorng2, Gustavo F. Trindade2, Ian S. Gilmore2, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 National Physical Laboratory, Hampton Road, Teddington, Middlesex, UK, TW11 0LW

Characterization of ocean plastics using ToF-SIMS and machine learning

Miku Kimura1, Motomi Shiojima2, Shohei Hananoki2, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Sekisui Chemical Co., Ltd., Osaka

Hydrogen Diffusion Model in Austenite Steel Containing Martensite Structure

Hiromi Kato1, Akiko N. Itakura2, Naoya Miyauchi2, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 National Institute for Materials Science (NIMS)

2025年｜学術誌論文2件・ポスター発表7件・口頭発表1件・学生賞1件

学術誌論文

Analysis of time-of-flight secondary ion mass spectrometry data of human skin treated with diclofenac using sparse autoencoder

Atsumi Shinozaki, Kazuhiro Matsuda, Satoka Aoyagi

Analytical and Bioanalytical Chemistry, 417(6), 1049–1054 (2025).

オンライン公開：2024年12月27日（掲載巻号：2025年）

DOI: 10.1007/s00216-024-05711-0

Novel secondary ion mass spectrometry identification system for organic materials using random forest

Tetsuya Masuda, Miya Fujita, Tomikazu Ueno, Daisuke Hayashi, Satoka Aoyagi*

Journal of Vacuum Science & Technology A, 43(2) (2025).

DOI: 10.1116/6.0004260

国際学会発表

SISS-24

The 24th Scientific International Symposium on SIMS and Related Techniques Based on Ion-Solid Interactions

開催日：2025年6月18日～20日｜開催地：Himeji, Japan（Egret Himeji）

発表：2件（口頭1件・ポスター1件）｜発表者：大学院生1名・学部4年生1名

Development of an organic molecule prediction system from ToF-SIMS spectra using random forest

発表形式：口頭発表

Tetsuya Masuda1, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

Investigation of complex SIMS data of ancient hearth stones in late Pleistocene using unsupervised machine learning

Daito Jin1, Naoko Sano2, Kazutaka Ishikawa3, Masayuki Okamoto3, Daisuke Hayashi1, Shinya Shoda4, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 IONOPTIKA Ltd., UK

3 Analytical Science Research Laboratory, Kao Corp.

4 Department of Planning and Coordination, Nara National Research Institute for Cultural Properties, 630-8577 Nara, Japan

SIMS Europe 2025

開催日：2025年9月7日～9日｜開催地：Giessen, Germany（University of Giessen）

発表：6件（ポスター）｜発表者：大学院生6名｜受賞：学生賞1件

Peak identification and mass imaging by combining two SIMS techniques

受賞：学生賞（Student Award）

Tetsuya Masuda1, Jean-Luc Vorng2, Ian S. Gilmore2, Yuuki Kodama3, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 National Physical Laboratory, Hampton Road, Teddington, Middlesex, UK

3 Shimane University

Evaluation of quantitative analysis of OrbiSIMS spectra using different types of ANN-based supervised learning methods

Shun Shibayama1, Anya Eyres2, Jean-Luc Vorng2, Gustavo F. Trindade2, Ian S. Gilmore2, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 National Physical Laboratory, Hampton Road, Teddington, Middlesex, UK

Classification of OrbiSIMS data of ancient Neolithic pottery from Zhejiang Province using unsupervised learning methods

Kumika Saruwatari1, Anna Kotowska2, David Scurr2, Guoping Sun3, Shinya Shoda4, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 School of Pharmacy, University of Nottingham, UK

3 Zhejiang Provincial Institute of Relics and Archaeology, Zhejiang, China

4 Department of Planning and Coordination, Nara National Research Institute for Cultural Properties, 630-8577 Nara, Japan

Characterisation of ocean plastic using OrbiSIMS depth profiling data and machine learning

Miku Kimura1, Anna Kotowska2, David Scurr2, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 School of Pharmacy, University of Nottingham, UK

Artificial neural network based material prediction systems from SIMS spectra

Hiromi Kato1, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

Evaluation of mycelium coils in the mycorrhiza of Cephalanthera falcata (Orchidaceae) using OrbiSIMS and machine learning

Hikaru Yamaguchi1, Mina Matsuo2, Masahide Yamato3, Hiroyuki Hashimoto4, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University

2 Chemical Research Laboratories, Nissan Chemical Corp., 2-10-1 Tsuboi-Nishi Funabashi, Chiba 274-8507 Japan

3 Faculty of Education, Chiba University, Chiba

4 Comprehensive Research Organization for Science and Society (CROSS), Ibaraki

2026年｜学術誌論文1件・ポスター発表6件・ポスター賞1件
追加発表6件予定（10月）

学術誌論文

Unsupervised multivariate analysis of multiple analysis data fusion combining hydrogen distribution and crystallographic orientation image data of vanadium alloy sample

Maho Hayase, Satoka Aoyagi*, Tomoyasu Fujimaru, Yoshihisa Matsumoto, Tomoko Kusawake, Akiko N. Itakura

Scientific Reports (2026).

DOI: 10.1038/s41598-026-55758-5

国際学会発表

SISS-25

The 25th Scientific International Symposium on SIMS and Related Techniques Based on Ion-Solid Interactions

開催日：2026年6月18日～19日｜開催地：Tokyo, Japan（Seikei University）

発表：6件（ポスター）｜発表者：大学院生6名｜受賞：ポスター賞1件

Evaluation of the shell and core of nanoparticles by ToF-SIMS depth profiling

Masataka Uchino1, Mina Matsuo2, Jeong Won Kim3, Tae Geol Lee3, Jin Gyeong Son3, Ansoon Kim3, Hyun Kyong Shon3, Daisuke Hayashi1, Satoka Aoyagi1

1 Faculty of Science and Technology, Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino, Tokyo

2 Chemical Research Laboratories, Nissan Chemical Corp., 2-10-1 Tsuboi-Nishi, Funabashi, Chiba, 274-8507 Japan

3 Korea Research Institute of Standards and Science (KRISS), 267 Gajeong-ro, Yuseong, Daejeon 34113, South Korea

Hopfield neural network application to PEG SIMS data

Hiromi Kato1, Yuri Mizutani2, Toshio Seki2, Jiro Matsuo2, Daisuke Hayashi1, Satoka Aoyagi1*

1 Faculty of Science and Technology, Seikei University, Musashino, Tokyo 180-8633 Japan

2 Department of Nuclear Engineering, Kyoto University, Gokasho, Uji, Kyoto, Japan

Identifying ocean plastic using machine learning and Kendrick mass defect analysis with OrbiSIMS

Miku Kimura1, Anna Kotowska2, David Scurr2, Satoka Aoyagi1*

1 Faculty of Science and Technology, Seikei University, Musashino, Tokyo 180-8633 Japan

2 School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, United Kingdom

Feature extraction from OrbiSIMS spectra of lipid nanoparticles via supervised machine learning

受賞：ポスター賞（Poster Award）

Tetsuya Masuda1, Masataka Uchino1, Joseph Roberts2, Anna Kotowska2, David J. Scurr2, Satoka Aoyagi1*

1 Faculty of Science and Technology, Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino, Tokyo

2 School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, United Kingdom

Investigation of symbiotic-related molecules in mycorrhizal root cells of Cephalanthera falcata (Orchidaceae) using SIMS and machine learning

Hikaru Yamaguchi1, Mina Matsuo2, Masahide Yamato3, Hiroyuki Hashimoto4, Takeshi Kawamura5, Satoka Aoyagi1*

1 Faculty of Science and Technology, Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino, Tokyo, 180-8633 Japan

2 Chemical Research Laboratories, Nissan Chemical Corp., 2-10-1 Tsuboi-Nishi Funabashi, Chiba 274-8507 Japan

3 Faculty of Education, Chiba University, 1-33 Yayoicho, Inage-Ku, Chiba, 263-8522 Japan

4 Comprehensive Research Organization for Science and Society (CROSS), 1601 Kamitakatsu, Tsuchiura, Ibaraki, 300-0811 Japan

5 Isotope Science Center, The University of Tokyo, 2-11-16 Yayoi, Bunkyo-Ku, Tokyo 113-0032 Japan

Quantitative analysis and evaluation of matrix effects of OEL mixture samples using OrbiSIMS and ANN-based methods

Shun Shibayama1, Anya Eyres2, Jean-Luc Vorng2, Gustavo F. Trindade2, Ian S. Gilmore2, Satoka Aoyagi1*

1 Faculty of Science and Technology, Seikei University, Musashino, Tokyo 180-8633 Japan

2 National Physical Laboratory, Hampton Road, Teddington, Middlesex, UK, TW11 0LW