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Compensation of illumination inhomogeneities in multi-resolution image acquisition in confocal microscopy
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SYSNO ASEP 0333693 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Compensation of illumination inhomogeneities in multi-resolution image acquisition in confocal microscopy Title Kompenzace jasových nehomogenit při snímání obrazů konfokální mikroskopií Author(s) Tomori, Z. (SK)
Čapek, Martin (FGU-C) RID, ORCID
Michálek, Jan (FGU-C) RID
Kubínová, Lucie (FGU-C) RID, ORCIDSource Title GraphiCon´2009. - Moscow : Lomonosov Moscow State University, 2009 Pages s. 108-111 Number of pages 4 s. Action International Conference on Computer Graphics and Vision /19./ Event date 05.10.2009-09.10.2009 VEvent location Moscow Country RU - Russian Federation Event type WRD Language eng - English Country RU - Russian Federation Keywords confocal microscopy ; light attenuation ; distribution function Subject RIV IN - Informatics, Computer Science R&D Projects GA102/08/0691 GA ČR - Czech Science Foundation (CSF) MEB080831 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z50110509 - FGU-C (2005-2011) Annotation A multi-resolution application in modern confocal microscopy is based on a set of objectives with different resolution and motorized XY stage. An image captured through a low-resolution objective serves as navigation map where the user points to positions or areas of interest in which a high-resolution image will be captured. This allows e.g. automated acquisition in time lapse experiments, generating random, or systematic random positions for stereological counting frames, image tiling etc. However, captured image series representing a volume of interest suffers from illumination inhomogeneities. Algorithms described in this paper compensate both uneven illumination of captured images and light attenuation with depth. The first problem was solved by using modified morphological operation called the upper Lipschitz cover. To compensate the light attenuation with depth, a novel, very fast algorithm based on matching of distribution functions has been proposed Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2010
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