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Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy

dc.creatorGrah, Joana Sarah
dc.creatorHarrington, JA
dc.creatorKoh, SB
dc.creatorPike, JA
dc.creatorSchreiner, A
dc.creatorBurger, M
dc.creatorSchönlieb, Carola-Bibiane
dc.creatorReichelt, S
dc.date.accessioned2017-02-06
dc.date.accessioned2018-11-24T23:19:58Z
dc.date.available2017-05-02T12:54:50Z
dc.date.available2018-11-24T23:19:58Z
dc.date.issued2017-02-15
dc.identifierhttps://www.repository.cam.ac.uk/handle/1810/263945
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/3521
dc.description.abstractIn this paper we propose a workflow to detect and track mitotic cells in time-lapse microscopy image sequences. In order to avoid the requirement for cell lines expressing fluorescent markers and the associated phototoxicity, phase contrast microscopy is often preferred over fluorescence microscopy in live-cell imaging. However, common specific image characteristics complicate image processing and impede use of standard methods. Nevertheless, automated analysis is desirable due to manual analysis being subjective, biased and extremely time-consuming for large data sets. Here, we present the following workflow based on mathematical imaging methods. In the first step, mitosis detection is performed by means of the circular Hough transform. The obtained circular contour subsequently serves as an initialisation for the tracking algorithm based on variational methods. It is sub-divided into two parts: in order to determine the beginning of the whole mitosis cycle, a backwards tracking procedure is performed. After that, the cell is tracked forwards in time until the end of mitosis. As a result, the average of mitosis duration and ratios of different cell fates (cell death, no division, division into two or more daughter cells) can be measured and statistics on cell morphologies can be obtained. All of the tools are featured in the user-friendly MATLAB®Graphical User Interface MitosisAnalyser.
dc.languageen
dc.publisherElsevier
dc.publisherMethods
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.subjectphase contrast microscopy
dc.subjectmitosis analysis
dc.subjectcircular Hough transform
dc.subjectcell tracking
dc.subjectvariational methods
dc.subjectlevel-set methods
dc.titleMathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy
dc.typeArticle


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