About: An Adaptive Algorithm for Multimodal Focus Functions in Automated Fluorescence Microscopy

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This work presents a new autofocusing algorithm for fluorescence microscopy that aims at finding all significant planes of focus in cases that the focus function applied on real data is not unimodal, which is often the case. First, nineteen focus functions are tested and their ability to show local maxima clearly is evaluated. The results show that only six focus functions work successfully. Then adaptively variable step size is introduced because wide range of possible focus positions has to be passed not to miss a local maximum. The algorithm therefore assesses the steepness of the focus function on-line so that it can decide whether bigger or smaller step size should be used for acquiring next image. It is shown that for Normalized Variance, the knowledge about steepness can be obtained after normalizing with respect to the theoretical maximum of this function. The resulting algorithm is reliable and efficient compared to a simple procedure with constant steps. This work presents a new autofocusing algorithm for fluorescence microscopy that aims at finding all significant planes of focus in cases that the focus function applied on real data is not unimodal, which is often the case. First, nineteen focus functions are tested and their ability to show local maxima clearly is evaluated. The results show that only six focus functions work successfully. Then adaptively variable step size is introduced because wide range of possible focus positions has to be passed not to miss a local maximum. The algorithm therefore assesses the steepness of the focus function on-line so that it can decide whether bigger or smaller step size should be used for acquiring next image. It is shown that for Normalized Variance, the knowledge about steepness can be obtained after normalizing with respect to the theoretical maximum of this function. The resulting algorithm is reliable and efficient compared to a simple procedure with constant steps. (en)
Title	An Adaptive Algorithm for Multimodal Focus Functions in Automated Fluorescence Microscopy An Adaptive Algorithm for Multimodal Focus Functions in Automated Fluorescence Microscopy (en)
skos:prefLabel	An Adaptive Algorithm for Multimodal Focus Functions in Automated Fluorescence Microscopy An Adaptive Algorithm for Multimodal Focus Functions in Automated Fluorescence Microscopy (en)
skos:notation	RIV/00216224:14330/08:00026789!RIV11-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...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Kozubek, Michal Brázdilová, Silvie Luisa
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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	355602
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/08:00026789
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	automated microscopy; focus function (en)
http://linked.open.../riv/klicoveSlovo	automated microscopy focus function
http://linked.open...ontrolniKodProRIV	[29CE90D3104F]
http://linked.open...v/mistoKonaniAkce	Dresden
http://linked.open...i/riv/mistoVydani	Dresden
http://linked.open...i/riv/nazevZdroje	Medical Imaging Conference
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	2008
http://linked.open...iv/tvurceVysledku	Kozubek, Michal Brázdilová, Silvie Luisa
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2008-10-22 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Highly Parallel and Distributed Computing Systems
issn	1082-3654
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4244-2714-7
http://localhost/t...ganizacniJednotka	14330

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