Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison
Loading...
Date
2019-07-28
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
BMC
Altmetrics
Abstract
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.
Description
Citation
BMC BIOINFORMATICS. 2019, vol. 20, issue 1, p. 1-25.
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2880-8
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2880-8
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en