Article

Topology-aware reconstruction of cellular state landscapes from microscopy using self-supervised learning

2026-06-03

Abstract excerpt

<h4>ABSTRACT</h4> Morphology and spatial organisation provide complementary readouts of cellular state. However, reconstructing continuous cellular state landscapes from imaging data remains challenging, particularly in dense biological cultures. Here we present SI-SimCLR, a spatially informed self-supervised learning framework that learns biologically informative representations directly from fluorescence micros...

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Literature Corpus work: 44d3e3c6-a520-5896-b40e-2a156ed4da68
DOI: 10.64898/2026.05.30.728966

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