Synthetic data enables human-grade microtubule analysis with foundation models for segmentation

Abstract excerpt

Studying microtubules (MTs) and their mechanical properties is central to understanding intracellular transport, cell division, and drug action. While important, experts still need to spend many hours manually segmenting these filamentous structures. The suitability of state-of-the-art methods for this task cannot be systematically assessed, as large-scale labeled datasets are missing. We address this gap by prese...

Topics

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• Caenorhabditis elegans
• Deep Learning
• Image Processing, Computer-Assisted
• Lipid Droplets
• Microtubules
• Mutation
• Neural Networks, Computer
• tau Proteins

Identifiers and source

Literature Corpus work

8128698d-cef3-5d14-9099-622408b724ef

DOI

10.64898/2026.01.09.698597