Fast and accurate discrimination high-speed Raman imaging combined with multi-armed bandit algorithm in reinforcement learning

Koji Tabata; Hiroyuki Kawagoe; Toshiki Kubo; James N. Taylor; Kentaro Mochizuki; Jean-Emmanuel Clement; Yasuaki Kumamoto; Yoshinori Harada; Atsuyoshi Nakamura; Katsumasa Fujita; Tamiki Komatsuzaki

doi:10.1117/12.3002689

12 March 2024 Fast and accurate discrimination high-speed Raman imaging combined with multi-armed bandit algorithm in reinforcement learning

Koji Tabata, Hiroyuki Kawagoe, Toshiki Kubo, James N. Taylor, Kentaro Mochizuki, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki

Author Affiliations +

Proceedings Volume 12853, High-Speed Biomedical Imaging and Spectroscopy IX; 128530A (2024) https://doi.org/10.1117/12.3002689
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We propose a method that combines high-speed Raman imaging with a machine learning technique, multi-armed bandit, to achieve rapid and accurate identification of samples under observation. First, our method dvides the field of view of the sample into small sections, and it returns either ’positive’ or ’negative’ based on whether the sections with high anomaly indices exceed a certain proportion. Moreover, the points to be measured are determined dynamically and automatically generating a series of optimal illumination patterns.

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Koji Tabata, Hiroyuki Kawagoe, Toshiki Kubo, James N. Taylor, Kentaro Mochizuki, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, and 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, 128530A (12 March 2024); https://doi.org/10.1117/12.3002689

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