Universal high-throughput image quantification of subcellular structure dynamics and spatial distributions within cells.

ABSTRACT: Image analysis of subcellular structures and biological processes relies on specific, context-dependent pipelines, which are labor-intensive, constrained by the intricacies of the specific biological system, and inaccessible to broader applications. Here we introduce the application of dispersion indices, a statistical tool traditionally employed by economists, to analyze the spatial distribution and heterogeneity of subcellular structures. This computationally efficient high-throughput approach, termed GRID (Generalized Readout of Image Dispersion), is highly generalizable, compatible with open-source image analysis software, and adaptable to diverse biological scenarios. GRID readily quantifies diverse structures and processes to include autophagic puncta, mitochondrial clustering, and m

SUBMITTER: Martin A 

PROVIDER: S-EPMC11370428 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature