Semi-automated cell counting in phase contrast images of epithelial monolayers
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Authors
Colleges, School and Institutes
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.
Details
Original language | English |
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Title of host publication | Medical Image Understanding and Analysis 2014 |
Editors | Constantino Carlos Reyes-Aldasoro, Greg Slabaugh |
Publication status | Published - 2014 |
Event | Proceedings of the 18th Conference in Medical Image Understanding and Analysis - London, United Kingdom Duration: 9 Jul 2014 → 11 Jul 2014 |
Conference
Conference | Proceedings of the 18th Conference in Medical Image Understanding and Analysis |
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Country | United Kingdom |
City | London |
Period | 9/07/14 → 11/07/14 |