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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Shelton, Richard
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Publications (8/8 displayed)
- 2021Biofilm viability checkercitations
- 2021Novel chitosan-silica hybrid hydrogels for cell encapsulation and drug deliverycitations
- 2018Automated non-invasive cell counting in phase contrast microscopy with automated image analysis parameter selectioncitations
- 2015Automated optimisation of cell segmentation parameters in phase contrast using discrete mereotopology
- 2014Semi-automated cell counting in phase contrast images of epithelial monolayers
- 2010Oral Keratinocyte Responses to Nickel-based Dental Casting Alloys In Vitrocitations
- 2007Corrosion of nickel-based dental casting alloyscitations
- 2001The influence of mixing ratio on the toughening mechanisms of a hand-mixed zinc phosphate dental cementcitations
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document
Semi-automated cell counting in phase contrast images of epithelial monolayers
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.