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Article

Large vision model framework for automated <i>C. elegans</i> analysis: From static morphometry to dynamic neural activity

2025-08-19

Abstract excerpt

Quantitative phenotyping of Caenorhabditis elegans is essential across numerous fields, yet data extraction remains a significant analytical bottleneck. Traditional segmentation methods, typically reliant on pixel-intensity thresholding, are highly sensitive to variations in imaging conditions and often fail in the presence of noise, overlaps, or uneven illumination. These failures necessitate meticulous experime...

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Literature Corpus work
a9f869fa-879e-59df-9b9d-fc8407cb4c83
DOI
10.1101/2025.08.18.670800
Open publication

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Large vision model framework for automated <i>C. elegans</i> analysis: From static morphometry to dynamic neural activityDOI 10.1101/2025.08.18.670800
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