Detailed Information on Publication Record
2004
Automated image analysis in fluorescence microscopy: From isolated cells to tissues and microarray images
KOZUBEK, Michal, Petr MATULA, Pavel MATULA, David SVOBODA, Jan HUBENÝ et. al.Basic information
Original name
Automated image analysis in fluorescence microscopy: From isolated cells to tissues and microarray images
Name in Czech
Automatizovaná analýza obrazu ve fluorescenční mikroskopii: Od izolovaných buněk k obrazům tkání a mikročipů
Authors
KOZUBEK, Michal (203 Czech Republic, guarantor), Petr MATULA (203 Czech Republic), Pavel MATULA (203 Czech Republic), David SVOBODA (203 Czech Republic), Jan HUBENÝ (203 Czech Republic) and Petr KRONTORÁD (203 Czech Republic)
Edition
First Edition 2004. Brno, Biophysics of the Genome, p. 44-46, 3 pp. 2004
Publisher
Masaryk University
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
RIV identification code
RIV/00216224:14330/04:00009701
Organization unit
Faculty of Informatics
ISBN
80-210-3560-9
Keywords in English
Image Analysis
Tags
Tags
International impact
Změněno: 3/6/2010 15:53, doc. RNDr. Pavel Matula, Ph.D.
V originále
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 as blood 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 were dealt 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 for the 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 been concentrated on semi-automatic approaches with minimal user interaction. Recently, also the demand of processing in vivo image series (of separated cells) has appeared, so automated object tracking algorithms have been investigated. Finally, our laboratory has started to produce also images of microarray slides, which are a special type of fluorescence microscopy images. For this type of images, completely new image processing methods are being developed that try to find grids as well as spots in an automated way. The presentation will be an overview of image analysis methods used in our laboratory for processing of the above-mentioned types of image data.
In Czech
Automatizovaná analýza obrazu ve fluorescenční mikroskopii: Od izolovaných buněk k obrazům tkání a mikročipů.
Links
| GA202/02/0804, research and development project |
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| GA202/04/0907, research and development project |
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| IAA5004306, research and development project |
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| IBS5004010, research and development project |
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| MSM 143300002, plan (intention) |
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| NC6987, research and development project |
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