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Segmentation of clustered cells in negative phase contrast images with integrated light intensity and cell shape information

hal.structure.identifierSchool of Mechanical Engineering and Automation [Beijing]
dc.contributor.authorWANG, Yuliang
hal.structure.identifierSchool of Mechanical Engineering and Automation [Beijing]
dc.contributor.authorWANG, C.
hal.structure.identifierLaboratoire Ondes et Matière d'Aquitaine [LOMA]
dc.contributor.authorZHANG, Zaicheng
dc.date.created2017-08-04
dc.date.issued2018
dc.identifier.issn0022-2720
dc.description.abstractEnAutomated cell segmentation plays a key role in characterisa-tions of cell behaviours for both biology research and clinical practices. Currently, the segmentation of clustered cells still remains as a challenge and is the main reason for false segmenta-tion. In this study, the emphasis was put on the segmentation of clustered cells in negative phase contrast images. A new method was proposed to combine both light intensity and cell shape information through the construction of grey-weighted distance transform (GWDT) within preliminarily segmented areas. With the constructed GWDT, the clustered cells can be detected and then separated with a modified region skeleton-based method. Moreover, a contour expansion operation was applied to get optimised detection of cell boundaries. In this paper, the working principle and detailed procedure of the proposed method are described, followed by the evaluation of the method on clustered cell segmentation. Results show that the proposed method achieves an improved performance in clustered cell segmentation compared with other methods, with 85.8% and 97.16% accuracy rate for clustered cells and all cells, respectively.
dc.language.isoen
dc.publisherWiley
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/
dc.subject.enCell segmentation
dc.subject.enclustered cells
dc.subject.engrey-weighted distance transform
dc.subject.enlight intensity
dc.subject.ennegative phase contrast images
dc.subject.enshape
dc.title.enSegmentation of clustered cells in negative phase contrast images with integrated light intensity and cell shape information
dc.typeArticle de revue
dc.identifier.doi10.1111/jmi.12673
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
bordeaux.journalJournal of Microscopy
bordeaux.page188-199
bordeaux.volume270
bordeaux.issue2
bordeaux.peerReviewedoui
hal.identifierhal-01808590
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01808590v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Microscopy&rft.date=2018&rft.volume=270&rft.issue=2&rft.spage=188-199&rft.epage=188-199&rft.eissn=0022-2720&rft.issn=0022-2720&rft.au=WANG,%20Yuliang&WANG,%20C.&ZHANG,%20Zaicheng&rft.genre=article


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