Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison
MetadataShow full item record
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.
KeywordsMicroscopy, Cell segmentation, Image reconstruction, Methods comparison, Differential contrast image, Quantitative phase imaging, Laplacian of Gaussians
Document typePeer reviewed
Document versionFinal PDF
SourceBMC BIOINFORMATICS. 2019, vol. 20, issue 1, p. 1-25.