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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F14%3A00435026%21RIV15-GA0-67985556
rdf:type
n8:Vysledek skos:Concept
dcterms: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.
dcterms:title
Segmentation of Individual Cells in Phase Contrast Microscopy Images Segmentation of Individual Cells in Phase Contrast Microscopy Images
skos:prefLabel
Segmentation of Individual Cells in Phase Contrast Microscopy Images Segmentation of Individual Cells in Phase Contrast Microscopy Images
skos:notation
RIV/67985556:_____/14:00435026!RIV15-GA0-67985556
n3:aktivita
n13:I n13:P
n3:aktivity
I, P(GA13-29225S)
n3:dodaniDat
n4:2015
n3:domaciTvurceVysledku
n15:7044461 n15:1730495
n3:druhVysledku
n9:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
44195
n3:idVysledku
RIV/67985556:_____/14:00435026
n3:jazykVysledku
n7:eng
n3:klicovaSlova
image segmentation; phase contrast microscopy; time-lapse imaging
n3:klicoveSlovo
n6:image%20segmentation n6:phase%20contrast%20microscopy n6:time-lapse%20imaging
n3:kontrolniKodProRIV
[10965CDDC3AE]
n3:mistoKonaniAkce
London
n3:mistoVydani
London
n3:nazevZdroje
Proceedings of the 18th Conference on Medical Image Understanding and Analysis
n3:obor
n16:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:projekt
n12:GA13-29225S
n3:rokUplatneniVysledku
n4:2014
n3:tvurceVysledku
Lašan, M. Šroubek, Filip Soukup, Jindřich
n3:typAkce
n18:WRD
n3:zahajeniAkce
2014-07-09+02:00
s:numberOfPages
6
n20:hasPublisher
City University London
n17:isbn
1-901725-51-0