Automatizovaná analýza obrazu ve fluorescenční mikroskopii: Od izolovaných buněk k obrazům tkání a mikročipů

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F04%3A00009701" target="_blank" >RIV/00216224:14330/04:00009701 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automated image analysis in fluorescence microscopy: From isolated cells to tissues and microarray images

Popis výsledku v původním jazyce

Laboratory of Optical Microscopy has been working on the automation of image analysis in fluorescence microscopy since mid-1990s. At that time mostly 2D image analysis of FISH stained cell nuclei was explored. The images contained isolated cells (such asblood cells) that did not form many clusters and, therefore, image segmentation (the most difficult part of image analysis) was quite easy to automate. Later on 3D images of FISH (or immunofluorescence) stained cell nuclei acquired in confocal mode weredealt with. Also in this case the cell nuclei were well separated from each other, however somewhat blurred in axial direction due to the inferior resolution along z-axis. Also for this case automated methods have been developed including algorithms forthe computation of a mathematical model of cell (or cell nucleus) boundary in 3D. At the end of 1990s the necessity of tissue image analysis arose. In this area, fully automated image segmentation is not possible, hence the effort has be

Název v anglickém jazyce

Automated image analysis in fluorescence microscopy: From isolated cells to tissues and microarray images

Popis výsledku anglicky

Laboratory of Optical Microscopy has been working on the automation of image analysis in fluorescence microscopy since mid-1990s. At that time mostly 2D image analysis of FISH stained cell nuclei was explored. The images contained isolated cells (such asblood cells) that did not form many clusters and, therefore, image segmentation (the most difficult part of image analysis) was quite easy to automate. Later on 3D images of FISH (or immunofluorescence) stained cell nuclei acquired in confocal mode weredealt with. Also in this case the cell nuclei were well separated from each other, however somewhat blurred in axial direction due to the inferior resolution along z-axis. Also for this case automated methods have been developed including algorithms forthe computation of a mathematical model of cell (or cell nucleus) boundary in 3D. At the end of 1990s the necessity of tissue image analysis arose. In this area, fully automated image segmentation is not possible, hence the effort has be

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2004

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Biophysics of the Genome

ISBN

80-210-3560-9

ISSN

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e-ISSN

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Počet stran výsledku

3

Strana od-do

44-46

Název nakladatele

Masaryk University

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

12. 10. 2004

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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