Accurate cell segmentation in microscopy images using membrane patterns
- 21 May 2014
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 30 (18), 2644-2651
- https://doi.org/10.1093/bioinformatics/btu302
Abstract
Motivation: Identifying cells in an image (cell segmentation) is essential for quantitative single-cell biology via optical microscopy. Although a plethora of segmentation methods exists, accurate segmentation is challenging and usually requires problem-specific tailoring of algorithms. In addition, most current segmentation algorithms rely on a few basic approaches that use the gradient field of the image to detect cell boundaries. However, many microscopy protocols can generate images with characteristic intensity profiles at the cell membrane. This has not yet been algorithmically exploited to establish more general segmentation methods.This publication has 26 references indexed in Scilit:
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