Three-dimensional computer vision for exploring heterogeneity in collective Cancer Invasion.

ABSTRACT: Collective cancer invasion exhibits a hierarchical structure characterized by leader-follower organization. Dynamic gene expression analysis of invading cells using nanobiosensors within 3D microenvironments provides a valuable means to explore the regulation of leader cells during collective cancer invasion. Nonetheless, the analysis of time-lapse, multimodal images that capture the intricacies of complex invading structures and gene expression profiles in 3D tumor spheroids poses a significant technological challenge. Here, we present a computer vision-based workflow that streamlines the identification of protrusions and detached clusters from 3D tumor spheroids. This methodology not only discerns invading multicellular structures and quantifies their physical properties, but also captur

SUBMITTER: Li Y 

PROVIDER: S-EPMC11464497 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature