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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F05%3A00013579%21RIV11-MSM-14330___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
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. 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.
dcterms:title
Image acquisition and its automation in fluorescence microscopy Image acquisition and its automation in fluorescence microscopy
skos:prefLabel
Image acquisition and its automation in fluorescence microscopy Image acquisition and its automation in fluorescence microscopy
skos:notation
RIV/00216224:14330/05:00013579!RIV11-MSM-14330___
n3:aktivita
n13:Z
n3:aktivity
Z(MSM 143300002)
n3:dodaniDat
n8:2011
n3:domaciTvurceVysledku
n17:3021475
n3:druhVysledku
n18:C
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
524217
n3:idVysledku
RIV/00216224:14330/05:00013579
n3:jazykVysledku
n19:eng
n3:klicovaSlova
image acquisition; fluorescence microscopy; automated microscopy; image cytometry; FISH
n3:klicoveSlovo
n4:FISH n4:fluorescence%20microscopy n4:image%20cytometry n4:image%20acquisition n4:automated%20microscopy
n3:kontrolniKodProRIV
[FCADDEF8732B]
n3:mistoVydani
Dordrecht
n3:nazevEdiceCisloSvazku
NATO Science Series
n3:nazevZdroje
From cells to proteins: Imaging nature across dimensions
n3:obor
n11:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetStranKnihy
479
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n8:2005
n3:tvurceVysledku
Kozubek, Michal
n3:zamer
n15:MSM%20143300002
s:numberOfPages
44
n20:hasPublisher
Springer-Verlag
n12:isbn
1-4020-3615-9
n7:organizacniJednotka
14330