Application of laser speckles and deep learning in discrimination of supermicroplastics and zooplanktons

Daiki Endo; Takahiro Kono; Yoshikazu Koike; Hirofumi Kadono; Jun Yamada; Uma M. Rajagopalan

doi:10.1117/12.2609366

2 March 2022 Application of laser speckles and deep learning in discrimination of supermicroplastics and zooplanktons

Daiki Endo, Takahiro Kono, Yoshikazu Koike, Hirofumi Kadono, Jun Yamada, Uma M. Rajagopalan

Proceedings Volume 11950, Optics and Biophotonics in Low-Resource Settings VIII; 1195007 (2022) https://doi.org/10.1117/12.2609366
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Existing method of surveying supermicroplastics (fragments ≤ 350 µm) in sea remains a challenge. To this end, we propose a new method based on laser speckles and two submersible spheres. In simulation experiments, a 630 nm laser illuminated a cuvette containing polystyrene particles and zooplanktons producing speckles recorded by a CMOS camera. Speckles were analyzed to discriminate different sized polystyrene spheres (2 μm, 20 μm and 200 μm) and zooplanktons. As discrimination algorithms, difference of subsequent frames of the speckle movie and deep learning were investigated. Deep learning was found to be capable of distinguishing speckles from different particle sizes.

Conference Presentation

Citation Download Citation

Daiki Endo, Takahiro Kono, Yoshikazu Koike, Hirofumi Kadono, Jun Yamada, and Uma M. Rajagopalan "Application of laser speckles and deep learning in discrimination of supermicroplastics and zooplanktons", Proc. SPIE 11950, Optics and Biophotonics in Low-Resource Settings VIII, 1195007 (2 March 2022); https://doi.org/10.1117/12.2609366

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