Cell context-dependent in silico organelle localization in label-free microscopy images.

ABSTRACT: The in silico labeling prediction of organelle fluorescence from label-free microscopy images has the potential to revolutionize our understanding of cells as integrated complex systems. However, out-of-distribution data caused by changes in the intracellular organization across cell types, cellular processes or perturbations can lead to altered label-free images and impaired in silico labeling. Here we demonstrate that incorporating biological meaningful cell contexts, via a context-dependent model that we call CELTIC, enhanced in silico labeling prediction and enabled the downstream analysis of out-of-distribution data such as cells undergoing mitosis and cells located at the edge of the colony. These results suggest a link between cell context and intracellular organization. Using CELTI

SUBMITTER: Elmalam N 

PROVIDER: S-EPMC12904784 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature