Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison.

ABSTRACT:

Background

Because of its non-destructive nature, label-free imaging is an important strategy for studying biological processes. However, routine microscopic techniques like phase contrast or DIC suffer from shadow-cast artifacts making automatic segmentation challenging. The aim of this study was to compare the segmentation efficacy of published steps of segmentation work-flow (image reconstruction, foreground segmentation, cell detection (seed-point extraction) and cell (instance) segmentation) on a dataset of the same cells from multiple contrast microscopic modalities.

Results

We built a collection of routines aimed at image segmentation of viable adherent cells grown on the culture dish acquired by phase contrast, differential interference contrast, Hoffman modulation c

SUBMITTER: Vicar T 

PROVIDER: S-EPMC6599268 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature