Microplankton life histories revealed by holographic microscopy and deep learning.

ABSTRACT: The marine microbial food web plays a central role in the global carbon cycle. However, our mechanistic understanding of the ocean is biased toward its larger constituents, while rates and biomass fluxes in the microbial food web are mainly inferred from indirect measurements and ensemble averages. Yet, resolution at the level of the individual microplankton is required to advance our understanding of the microbial food web. Here, we demonstrate that, by combining holographic microscopy with deep learning, we can follow microplanktons throughout their lifespan, continuously measuring their three-dimensional position and dry mass. The deep-learning algorithms circumvent the computationally intensive processing of holographic data and allow rapid measurements over extended time periods. This

SUBMITTER: Bachimanchi H 

PROVIDER: S-EPMC9625084 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature