About: Segmentation of Individual Cells in Phase Contrast Microscopy Images     Goto   Sponge   NotDistinct   Permalink

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Description
  • Phase contrast microscopy is widely used for live cell imaging. Automatic computer processing of phase-contrast images is complicated, particularly because of the halos that are present around the cells. We introduce a new algorithm able to segment individual cells by using the halos. The halos between cells are detected by thresholding and skeletonization, and gaps in the edges are filled in using Dijkstra’s algorithm. The result of the algorithm was compared with the results of manual segmentation performed by a human expert and evaluated on level of precision of individual cells’ edges. The source code and test data, including the manual segmentation are made available to the public.
  • Phase contrast microscopy is widely used for live cell imaging. Automatic computer processing of phase-contrast images is complicated, particularly because of the halos that are present around the cells. We introduce a new algorithm able to segment individual cells by using the halos. The halos between cells are detected by thresholding and skeletonization, and gaps in the edges are filled in using Dijkstra’s algorithm. The result of the algorithm was compared with the results of manual segmentation performed by a human expert and evaluated on level of precision of individual cells’ edges. The source code and test data, including the manual segmentation are made available to the public. (en)
Title
  • Segmentation of Individual Cells in Phase Contrast Microscopy Images
  • Segmentation of Individual Cells in Phase Contrast Microscopy Images (en)
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  • Segmentation of Individual Cells in Phase Contrast Microscopy Images
  • Segmentation of Individual Cells in Phase Contrast Microscopy Images (en)
skos:notation
  • RIV/67985556:_____/14:00435026!RIV15-GA0-67985556
http://linked.open...avai/riv/aktivita
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  • I, P(GA13-29225S)
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  • 44195
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  • RIV/67985556:_____/14:00435026
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  • image segmentation; phase contrast microscopy; time-lapse imaging (en)
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http://linked.open...ontrolniKodProRIV
  • [10965CDDC3AE]
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  • London
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  • London
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  • Proceedings of the 18th Conference on Medical Image Understanding and Analysis
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  • Šroubek, Filip
  • Soukup, Jindřich
  • Lašan, M.
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • City University London
https://schema.org/isbn
  • 1-901725-51-0
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