Characterizing the feeding patterns of microzooplanktons using digital holographic microscopy and deep learning

Harshith Bachimanchi; Benjamin Midtvedt; Daniel Midtvedt; Erik Selander; Giovanni Volpe

doi:10.1117/12.2593892

1 August 2021 Characterizing the feeding patterns of microzooplanktons using digital holographic microscopy and deep learning

Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe

Author Affiliations +

Proceedings Volume 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021; 118041U (2021) https://doi.org/10.1117/12.2593892
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

Phytoplankton are responsible for approximately 50% of the biological fixation of carbon dioxide and oxygen production on Earth. The majority of the phytoplankton production is consumed by single-celled microscopic grazers, microzooplankton. In this experiment, we reproduce a small-scale alias of the plankton world to understand their feeding behavior. We use a lens-less holographic approach, driven by deep learning powered DeepTrack 2.0. We use a combination of U-net and CNN architectures to decipher the properties of radius, refractive index, heights and drymass of plankton. We further compare the results with standard approaches.

Conference Presentation

Citation Download Citation

Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, and Giovanni Volpe "Characterizing the feeding patterns of microzooplanktons using digital holographic microscopy and deep learning", Proc. SPIE 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021, 118041U (1 August 2021); https://doi.org/10.1117/12.2593892

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