KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005. p. 227-270. NATO Science Series. ISBN 1-4020-3615-9.
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Basic information
Original name Image acquisition and its automation in fluorescence microscopy
Name in Czech Snímání obrazu a jeho automatizace ve fluorescenční mikroskopii
Authors KOZUBEK, Michal (203 Czech Republic, guarantor).
Edition Dordrecht, From cells to proteins: Imaging nature across dimensions, p. 227-270, 44 pp. NATO Science Series, 2005.
Publisher Springer
Other information
Original language English
Type of outcome Chapter(s) of a specialized book
Field of Study 20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/05:00013579
Organization unit Faculty of Informatics
ISBN 1-4020-3615-9
UT WoS 000235038500013
Keywords in English image acquisition; fluorescence microscopy; automated microscopy; image cytometry; FISH
Tags automated microscopy, FISH, fluorescence microscopy, image acquisition, image cytometry
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Michal Kozubek, Ph.D., učo 3740. Changed: 7/5/2010 15:10.
Fluorescence microscopy is presently the main tool for the investigation of structure and function of cells and their components. Unfortunately, this type of microscopy suffers from low light levels and consequent high noise levels. This poses big challenge for the image acquisition process. The selection of proper hardware and software parts of the whole set-up (microscope, light detector, driving computer) as well as optimization of the imaging conditions are highly non-trivial tasks that require deep understanding of the laws of physics and mutual dependences of a number of phenomena. This chapter brings insight into these laws and dependencies and provides the reader with a number of hints for the selection of appropriate system components as well as for the optimization of their performance. Special attention is paid to automation in fluorescence microscopy that is absolutely indispensable if multi-dimensional data are to be acquired.
Abstract (in Czech)
Kapitola pojednává o snímání obrazu a jeho automatizaci ve fluorescenční mikroskopii.
MSM 143300002, plan (intention)Name: Využití počítačové analýzy obrazu v optické mikroskopii
Investor: Ministry of Education, Youth and Sports of the CR, Research Intents
PrintDisplayed: 19/5/2021 03:09