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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F11%3A00365674%21RIV12-TA0-67985556
rdf:type
skos:Concept n15:Vysledek
dcterms:description
The paper describes automated segmentation and analysis of the microscopic images resulting from fluorescence in-situ hybridization (FISH) analysis. FISH is a popular molecular cytogenetic method. The output of a single FISH analysis is a set of several tens or hundreds microscopic images. The goal of an automated evaluation is to replace the subjective evaluation of images by the laboratory technician to achieve higher uniformity of results. Following explanation of the principle of the method and the typical contents of images, the processing flow of image segmentation is outlined and the results are presented on several example images. The paper describes automated segmentation and analysis of the microscopic images resulting from fluorescence in-situ hybridization (FISH) analysis. FISH is a popular molecular cytogenetic method. The output of a single FISH analysis is a set of several tens or hundreds microscopic images. The goal of an automated evaluation is to replace the subjective evaluation of images by the laboratory technician to achieve higher uniformity of results. Following explanation of the principle of the method and the typical contents of images, the processing flow of image segmentation is outlined and the results are presented on several example images.
dcterms:title
Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images
skos:prefLabel
Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images Image Processing for Automated Analysis of the Fluorescence In-Situ Hybridization (FISH) Microscopic Images
skos:notation
RIV/67985556:_____/11:00365674!RIV12-TA0-67985556
n15:predkladatel
n16:ico%3A67985556
n3:aktivita
n21:I n21:P n21:Z
n3:aktivity
I, P(TA01010931), Z(AV0Z10750506)
n3:dodaniDat
n11:2012
n3:domaciTvurceVysledku
n13:2365030 n13:4068661 n13:5081068
n3:druhVysledku
n18:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
203545
n3:idVysledku
RIV/67985556:_____/11:00365674
n3:jazykVysledku
n19:eng
n3:klicovaSlova
fluorescence in-situ hybridization; image processing; image segmentation
n3:klicoveSlovo
n20:fluorescence%20in-situ%20hybridization n20:image%20segmentation n20:image%20processing
n3:kontrolniKodProRIV
[027F008B74C0]
n3:mistoKonaniAkce
Daejeon
n3:mistoVydani
Berlin Heidelberg
n3:nazevZdroje
Convergence and Hybrid Information Technology
n3:obor
n12:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
4
n3:projekt
n14:TA01010931
n3:rokUplatneniVysledku
n11:2011
n3:tvurceVysledku
Kočárek, E. Kovář, Bohumil Kuneš, Michal Schier, Jan
n3:typAkce
n4:WRD
n3:zahajeniAkce
2011-09-22+02:00
n3:zamer
n22:AV0Z10750506
s:numberOfPages
12
n10:hasPublisher
Springer-Verlag
n17:isbn
978-3-642-24081-2