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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F10%3A00044041%21RIV11-MSM-14330___
rdf:type
n6:Vysledek skos:Concept
dcterms:description
Fluorescence microscopy still faces the problem of the quality of cell image analysis results. Degradations caused by cell preparation, optics and electronics considerably affect most 2D and 3D cell image data acquired using optical microscopy. That is why image processing algorithms applied to these data typically offer imprecise and unreliable results. As the ground truth for given image data is not available in most experiments, the outputs of different image analysis methods can be neither verified nor compared to each other. Some papers solve this problem partially with estimates of ground truth by experts in the field (biologists or physicians). However, in many cases, such a ground truth estimate is very subjective and strongly varies between different experts. In order to overcome these difficulties, we have created a toolbox [1] that can generate 3D digital phantoms of specific cellular components along with their corresponding images degraded by specific optics and electronics. Fluorescence microscopy still faces the problem of the quality of cell image analysis results. Degradations caused by cell preparation, optics and electronics considerably affect most 2D and 3D cell image data acquired using optical microscopy. That is why image processing algorithms applied to these data typically offer imprecise and unreliable results. As the ground truth for given image data is not available in most experiments, the outputs of different image analysis methods can be neither verified nor compared to each other. Some papers solve this problem partially with estimates of ground truth by experts in the field (biologists or physicians). However, in many cases, such a ground truth estimate is very subjective and strongly varies between different experts. In order to overcome these difficulties, we have created a toolbox [1] that can generate 3D digital phantoms of specific cellular components along with their corresponding images degraded by specific optics and electronics.
dcterms:title
CytoPacq: A web-based toolbox for simulation of 3D cell imaging and quality control of related image analysis CytoPacq: A web-based toolbox for simulation of 3D cell imaging and quality control of related image analysis
skos:prefLabel
CytoPacq: A web-based toolbox for simulation of 3D cell imaging and quality control of related image analysis CytoPacq: A web-based toolbox for simulation of 3D cell imaging and quality control of related image analysis
skos:notation
RIV/00216224:14330/10:00044041!RIV11-MSM-14330___
n4:aktivita
n15:P
n4:aktivity
P(2B06052), P(LC535)
n4:dodaniDat
n9:2011
n4:domaciTvurceVysledku
n14:3021475 n14:2346257 n14:6056229
n4:druhVysledku
n11:O
n4:duvernostUdaju
n7:S
n4:entitaPredkladatele
n13:predkladatel
n4:idSjednocenehoVysledku
252657
n4:idVysledku
RIV/00216224:14330/10:00044041
n4:jazykVysledku
n17:eng
n4:klicovaSlova
digital phantom; synthetic image; fluorescence microscopy; 3D cell imaging
n4:klicoveSlovo
n5:3D%20cell%20imaging n5:synthetic%20image n5:fluorescence%20microscopy n5:digital%20phantom
n4:kontrolniKodProRIV
[A18C8F22AE32]
n4:obor
n16:JD
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:projekt
n10:LC535 n10:2B06052
n4:rokUplatneniVysledku
n9:2010
n4:tvurceVysledku
Kozubek, Michal Stejskal, Stanislav Svoboda, David
n12:organizacniJednotka
14330