About: Information Content Analysis in Automated Microscopy Imaging using an Adaptive Autofocus Algorithm for Multimodal Functions

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About: Information Content Analysis in Automated Microscopy Imaging using an Adaptive Autofocus Algorithm for Multimodal Functions Goto Sponge NotDistinct Permalink

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We present a new algorithm to analyse information content in images acquired using automated fluorescence microscopy. The algorithm belongs to the group of autofocusing methods, but differs from its predecessors in that it can handle thick specimens and operate also in confocal mode. It measures the information content in images using a %22content function%22, which is essentially the same concept as a focus function. Unlike previously presented algorithms, this algorithm tries to find all significant axial positions in cases where the content function applied to real data is not unimodal, which is often the case. This requirement precludes using algorithms that rely on unimodality. Moreover, choosing a content function requires careful consideration, because some functions suppress local maxima. First, we test 19 content functions and evaluate their ability to show local maxima clearly. The results show that only six content functions succeed. We present a new algorithm to analyse information content in images acquired using automated fluorescence microscopy. The algorithm belongs to the group of autofocusing methods, but differs from its predecessors in that it can handle thick specimens and operate also in confocal mode. It measures the information content in images using a %22content function%22, which is essentially the same concept as a focus function. Unlike previously presented algorithms, this algorithm tries to find all significant axial positions in cases where the content function applied to real data is not unimodal, which is often the case. This requirement precludes using algorithms that rely on unimodality. Moreover, choosing a content function requires careful consideration, because some functions suppress local maxima. First, we test 19 content functions and evaluate their ability to show local maxima clearly. The results show that only six content functions succeed. (en)
Title	Information Content Analysis in Automated Microscopy Imaging using an Adaptive Autofocus Algorithm for Multimodal Functions Information Content Analysis in Automated Microscopy Imaging using an Adaptive Autofocus Algorithm for Multimodal Functions (en)
skos:prefLabel	Information Content Analysis in Automated Microscopy Imaging using an Adaptive Autofocus Algorithm for Multimodal Functions Information Content Analysis in Automated Microscopy Imaging using an Adaptive Autofocus Algorithm for Multimodal Functions (en)
skos:notation	RIV/00216224:14330/09:00035554!RIV10-MSM-14330___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(2B06052), P(LC535), Z(MSM0021622419)
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Kozubek, Michal Brázdilová, Silvie Luisa
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	319484
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/09:00035554
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	automated microscopy; information content analysis; autofocusing; normalized variance (en)
http://linked.open.../riv/klicoveSlovo	automated microscopy normalized variance autofocusing information content analysis
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[00CA9B6B3CAA]
http://linked.open...i/riv/nazevZdroje	Journal of Microscopy
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images Chromosome dynamics and organization during the cell cycle in normal and pathologic conditions
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	236
http://linked.open...iv/tvurceVysledku	Kozubek, Michal Brázdilová, Silvie Luisa
http://linked.open...n/vavai/riv/zamer	Highly Parallel and Distributed Computing Systems
issn	0022-2720
number of pages	9 (xsd:int)
http://localhost/t...ganizacniJednotka	14330

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