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

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dc.contributor.authorVičar, Tomášcs
dc.contributor.authorBalvan, Jancs
dc.contributor.authorJaroš, Josefcs
dc.contributor.authorJug, Floriancs
dc.contributor.authorKolář, Radimcs
dc.contributor.authorMasařík, Michalcs
dc.contributor.authorGumulec, Jaromírcs
dc.coverage.issue1cs
dc.coverage.volume20cs
dc.date.issued2019-07-28cs
dc.description.abstractBecause 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.en
dc.formattextcs
dc.format.extent1-25cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationBMC BIOINFORMATICS. 2019, vol. 20, issue 1, p. 1-25.en
dc.identifier.doi10.1186/s12859-019-2880-8cs
dc.identifier.issn1471-2105cs
dc.identifier.orcid0000-0002-9136-7873cs
dc.identifier.orcid0000-0002-0469-6397cs
dc.identifier.orcid0000-0003-1172-7195cs
dc.identifier.orcid0000-0002-9658-3444cs
dc.identifier.other158175cs
dc.identifier.researcheridC-6006-2018cs
dc.identifier.researcheridC-8547-2014cs
dc.identifier.researcheridD-9920-2012cs
dc.identifier.researcheridD-7638-2012cs
dc.identifier.scopus57202426072cs
dc.identifier.scopus55769747816cs
dc.identifier.urihttp://hdl.handle.net/11012/195836
dc.language.isoencs
dc.publisherBMCcs
dc.relation.ispartofBMC BIOINFORMATICScs
dc.relation.urihttps://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2880-8cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1471-2105/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectMicroscopyen
dc.subjectCell segmentationen
dc.subjectImage reconstructionen
dc.subjectMethods comparisonen
dc.subjectDifferential contrast imageen
dc.subjectQuantitative phase imagingen
dc.subjectLaplacian of Gaussiansen
dc.titleCell segmentation methods for label-free contrast microscopy: review and comprehensive comparisonen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-158175en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:45en
sync.item.modts2025.01.17 18:40:51en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Energie budoucnosti a inovacecs
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