High-speed Raman spectroscopic diagnosis guaranteeing accuracy by reinforcement learning

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

doi:10.1117/12.3007934

20 September 2023 High-speed Raman spectroscopic diagnosis guaranteeing accuracy by reinforcement learning

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

Author Affiliations +

Proceedings Volume 12608, Biomedical Imaging and Sensing Conference; 126081A (2023) https://doi.org/10.1117/12.3007934
Event: Optics and Photonics International Congress, 2023, Yokohama, Japan

Abstract

We developed spontaneous Raman microscopy using Bandit algorithm to realize fast diagnosis of the existence of anomalies or not with guaranteeing accuracy. The algorithm evaluates obtained Raman spectra during measurement to judge if the diagnosis is completed with ensuring an allowance error rate that users decided and also to generate optimal illumination patterns for the next irradiation which are optimized to accelerate the detection of anomaly. We present our simulation and experimental studies to show that our system can accelerate more than a few tens times faster than line-scanning Raman microscopy which requires full scanning over all pixels.

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Toshiki Kubo, Koji Tabata, Hiroyuki Kawagoe, James N. Taylor, Kentaro Mochizuki, Jean-Emmanuel Clement, Yasuaki Kumamoto, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, and Tamiki Komatsuzaki "High-speed Raman spectroscopic diagnosis guaranteeing accuracy by reinforcement learning", Proc. SPIE 12608, Biomedical Imaging and Sensing Conference, 126081A (20 September 2023); https://doi.org/10.1117/12.3007934

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