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PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patterns

2026-06-16

Abstract excerpt

Multiplex imaging is a valuable tool for spatially examining tissue microenvironments at the single-cell level to uncover biological and clinical insights. However, most multiplex image analysis workflows currently require manual intervention for cell phenotyping, which slows progress, demands human effort, and yields operator-dependent outputs. Here, we developed PhenoBIC, a pre-trained deep learning model for im...

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Literature Corpus work
97561387-406e-5f2d-a693-3f9fca40a40c
DOI
10.64898/2026.06.11.731702
Open publication

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