Plankton classification with high-throughput submersible holographic microscopy and transfer learning.

ABSTRACT:

Background

Plankton are foundational to marine food webs and an important feature for characterizing ocean health. Recent developments in quantitative imaging devices provide in-flow high-throughput sampling from bulk volumes-opening new ecological challenges exploring microbial eukaryotic variation and diversity, alongside technical hurdles to automate classification from large datasets. However, a limited number of deployable imaging instruments have been coupled with the most prominent classification algorithms-effectively limiting the extraction of curated observations from field deployments. Holography offers relatively simple coherent microscopy designs with non-intrusive 3-D image information, and rapid frame rates that support data-driven plankton imaging tasks. Classificat

SUBMITTER: MacNeil L 

PROVIDER: S-EPMC8207568 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature