About: Fast Tracking Algorithm of GFP-Transfected Living Cells Based on the Chan-Vese Model

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We present a general, robust, and fast approach for tracking GFP-transfected living cells in time-lapse series acquired using a confocal fluorescence microscope. The proposed tracking scheme involves two steps. First, the coherence-enhancing diffusion filtering is applied on each frame in order to reduce the noise and enhance flow-like structures. Second, enhanced cell boundaries are detected through a minimization of the Chan-Vese model that divides an image domain into two possibly disconnected regions of minimal variance. To speed up the second step, final contours from the previous frame are taken as seeds in the next one. The minimization of the Chan-Vese model is implemented using a fast level set-like algorithm (Maška et al. 2010) achieving near real-time performance in 2D. We present a general, robust, and fast approach for tracking GFP-transfected living cells in time-lapse series acquired using a confocal fluorescence microscope. The proposed tracking scheme involves two steps. First, the coherence-enhancing diffusion filtering is applied on each frame in order to reduce the noise and enhance flow-like structures. Second, enhanced cell boundaries are detected through a minimization of the Chan-Vese model that divides an image domain into two possibly disconnected regions of minimal variance. To speed up the second step, final contours from the previous frame are taken as seeds in the next one. The minimization of the Chan-Vese model is implemented using a fast level set-like algorithm (Maška et al. 2010) achieving near real-time performance in 2D. (en)
Title	Fast Tracking Algorithm of GFP-Transfected Living Cells Based on the Chan-Vese Model Fast Tracking Algorithm of GFP-Transfected Living Cells Based on the Chan-Vese Model (en)
skos:prefLabel	Fast Tracking Algorithm of GFP-Transfected Living Cells Based on the Chan-Vese Model Fast Tracking Algorithm of GFP-Transfected Living Cells Based on the Chan-Vese Model (en)
skos:notation	RIV/00216224:14330/11:00051908!RIV12-MSM-14330___
http://linked.open...avai/predkladatel	Fakulta informatiky
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(2B06052), P(LC535), S, Z(MSM0021622419)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Maška, Martin Matula, Pavel
http://linked.open.../riv/druhVysledku	O - Ostatní výsledky nezařaditelné do žádného z výše uvedených druhů výsledku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	199374
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/11:00051908
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	object tracking; Chan-Vese model; level set framework; coherence-enhancing diffusion (en)
http://linked.open.../riv/klicoveSlovo	Chan-Vese model coherence-enhancing diffusion level set framework object tracking
http://linked.open...ontrolniKodProRIV	[1BA609D14D07]
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images Chromosome dynamics and organization during the cell cycle in normal and pathologic conditions
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Matula, Pavel Maška, Martin Muñoz-Barrutia, Arrate Ortiz-de-Solórzano, Carlos
http://linked.open...n/vavai/riv/zamer	Highly Parallel and Distributed Computing Systems
http://localhost/t...ganizacniJednotka	14330

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