Histogram warping based correction of the light attenuation with depth of data sets captured by a confocal microscope

0021202 - FGÚ 2006 RIV US eng C - Conference Paper (international conference)
Čapek, Martin - Kubínová, Lucie - Hána, K. - Smrčka, P.
Histogram warping based correction of the light attenuation with depth of data sets captured by a confocal microscope.
[Korekce útlumu jasu s hloubkou datových souborů získaných konfokálním mikroskopem založená na deformaci histogramu.]
Proceedings of the Fifth IASTED International Conference on Visualization, Imaging and Image Processing. Anaheim: ACTA Press, 2005 - (Villanueva, J.), s. 12-17. ISBN 0-88986-528-0.
[IASTED International Conference on Visualization, Imaging and Image Processing - VIIP 2005 /5./. Benidorm (ES), 07.09.2005-09.09.2005]
R&D Projects: GA AV ČR(CZ) IAA100110502; GA AV ČR(CZ) IAA600110507; GA AV ČR(CZ) KJB6011309
Institutional research plan: CEZ:AV0Z50110509
Keywords : brightness correction * contrast correction * confocal microscopy
Subject RIV: JD - Computer Applications, Robotics

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

Obrazy získané konfokálním mikroskopem jsou zatížené útlumem jasu a kontrastu s hloubkou zaostření. Vyvinuli jsme metodu založenou na deformaci histogramů těchto obrazů, která tento problém eliminuje
Permanent Link: http://hdl.handle.net/11104/0110204