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Histogram warping based correction of the light attenuation with depth of data sets captured by a confocal microscope
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SYSNO ASEP 0021202 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Histogram warping based correction of the light attenuation with depth of data sets captured by a confocal microscope Title Korekce útlumu jasu s hloubkou datových souborů získaných konfokálním mikroskopem založená na deformaci histogramu Author(s) Čapek, Martin (FGU-C) RID, ORCID
Kubínová, Lucie (FGU-C) RID, ORCID
Hána, K. (CZ)
Smrčka, P. (CZ)Source Title Proceedings of the Fifth IASTED International Conference on Visualization, Imaging and Image Processing. - Anaheim : ACTA Press, 2005 / Villanueva J.J. - ISBN 0-88986-528-0 Pages s. 12-17 Number of pages 6 s. Action IASTED International Conference on Visualization, Imaging and Image Processing - VIIP 2005 /5./ Event date 07.09.2005-09.09.2005 VEvent location Benidorm Country ES - Spain Event type WRD Language eng - English Country US - United States Keywords brightness correction ; contrast correction ; confocal microscopy Subject RIV JD - Computer Applications, Robotics R&D Projects IAA100110502 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) IAA600110507 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) KJB6011309 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z50110509 - FGU-C (2005-2011) Annotation A confocal laser scanning microscope (CLSM) gives possibility to capture images from a biological specimen in different depths and obtain a stack of precisely registered fluorescent images, i.e. a 3D image. However, fluorescent image intensities from a CLSM suffer from light loss distortions. This effect causes problems in subsequent analysis of biological objects. Therefore, methods for compensation of the light attenuation with depth must be used. It is possible to solve this problem by a feedback-based tuning of the CLSM hardware during scanning, but in this paper we pay attention to post-processing methods and developed such one. It is a two step algorithm. In the first step the algorithm determines a standard histogram of the stack of images and in the second step histograms of individual images are warped according to this standard histogram. The algorithm results in more stable brightness and contrast of images through the stack Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2006
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