arXiv cs.CV
· Papers
scMIR: a vision-language foundation model for single-cell light microscopy image representation
arXiv:2607.22712v1 Announce Type: new Abstract: Single-cell light microscopy images have become an important data source for characterizing cell phenotypes, but their complexity and heterogeneity pose challenges to high-throughput automated analysis. Existing representation learning methods mostly rely on task-oriented