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A System for Automated Acquisition of 3D Biomedical Images Using Confocal Microscopy
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SYSNO ASEP 0330404 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title A System for Automated Acquisition of 3D Biomedical Images Using Confocal Microscopy Title Systém pro automatizované snímání 3D biomedicínských obrazů s použitím konfokální mikroskopie Author(s) Čapek, Martin (FGU-C) RID, ORCID
Tomori, Z. (SK)
Michálek, Jan (FGU-C) RID
Janáček, Jiří (FGU-C) RID, ORCID
Kubínová, Lucie (FGU-C) RID, ORCID
Hozman, J. (CZ)Source Title MC 2009 : Microscopy Conference, Life Sciences, Vol.2. - Graz : Verlag der Technischen Universität, 2009 / Pabst M. A. ; Zellnig G. - ISBN 978-3-85125-062-6 Pages s. 415-416 Number of pages 2 s. Action MC 2009 - Joint Meeting of Dreiländertagung and Multinational Congress on Microscopy /9./ Event date 30.08.2009-04.09.2009 VEvent location Graz Country AT - Austria Event type WRD Language eng - English Country AT - Austria Keywords confocal laser scanning microscope ; illumination inhomogeneity ; automated acquisition system Subject RIV JD - Computer Applications, Robotics R&D Projects LC06063 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/08/0691 GA ČR - Czech Science Foundation (CSF) GA304/09/0733 GA ČR - Czech Science Foundation (CSF) IAA100110502 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) MEB080831 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z50110509 - FGU-C (2005-2011) Annotation The described software system for the coarse-to-fine positioning of XY motorized microscope stage allows us interactive control of image acquisition in confocal microscopy. 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. Our contribution presents an extension of a two-level coarse/fine algorithm to a multi-level environment. Moreover, the system is accompanied by algorithms that compensate both uneven illumination of neighbouring captured images (neighbouring fields of view) and light attenuation of confocal 3D images with depth, which are effects observed in confocal microscopy. By applying these algorithms resulting images of high quality are obtained. The system also enables us acquisition of confocal data sets for performing 3D reconstructions of large biological specimens Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2010
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