Semi-automated cell counting in phase contrast images of epithelial monolayers

Rachel Flight, Gabriel Landini, Iain Styles, Richard Shelton, Michael Milward, Paul Cooper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Non-destructive, quantitative evaluation of cell numbers in epithelial monolayers is necessary to monitor their proliferative rate in a single culture over a time period. Imaging using phase contrast microscopy is non-invasive and creates contrast in optically transparent cells; however intrinsic image artefacts mean that thresholding-based segmentation methods alone are insufficient to identify cells. The method described uses mathematical morphology to assign contrast to cells in a way that enables approximate segmentation by applying a threshold value. Kmeans clustering is subsequently applied to improve enumeration accuracy by removing segmentation artefacts. Cell numbers in images over multiple time-points may then be used to non-destructively generate growth curves. To validate this method we demonstrate a dose dependent relationship between H400 keratinocyte proliferation and concentration of foetal calf serum.
Original languageEnglish
Title of host publicationMedical Image Understanding and Analysis 2014
EditorsConstantino Carlos Reyes-Aldasoro, Greg Slabaugh
PublisherBritish Machine Vision Association
ISBN (Print)1-901725-51-0
Publication statusPublished - 2014
EventProceedings of the 18th Conference in Medical Image Understanding and Analysis - London, United Kingdom
Duration: 9 Jul 201411 Jul 2014

Conference

ConferenceProceedings of the 18th Conference in Medical Image Understanding and Analysis
Country/TerritoryUnited Kingdom
CityLondon
Period9/07/1411/07/14

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