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Visualizing Stable Features in Live Cell Nucleus for Evaluation of the Cell Global Motion Compensation
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SYSNO ASEP 0435958 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Visualizing Stable Features in Live Cell Nucleus for Evaluation of the Cell Global Motion Compensation Author(s) Sorokin, D.V. (CZ)
Suchánková, Jana (BFU-R)
Bártová, Eva (BFU-R) ORCID
Matula, P. (CZ)Number of authors 4 Source Title Folia Biologica. - : Univerzita Karlova v Praze - ISSN 0015-5500
Roč. 60, č. 1 (2014), s. 45-49Number of pages 5 s. Publication form Print - P Language eng - English Country CZ - Czech Republic Keywords cell global motion compensation ; UV laser bleaching ; image registration Subject RIV BO - Biophysics R&D Projects GBP302/12/G157 GA ČR - Czech Science Foundation (CSF) EE2.3.30.0030 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support BFU-R - RVO:68081707 UT WOS 000343275800007 Annotation The compensation of cell motion is an important step in single-particle tracking analysis of live cells. This step is required in most of the cases, since the movement of subcellular foci is superimposed by the movement and deformation of the cell, while only the local motion of the foci is important to be analysed. The cell motion and deformation compensation is usually performed by means of image registration. There are a number of approaches with different models and properties presented in the literature that perform cell image registration. However, the evaluation of the registration approach quality on real data is a tricky problem due to the fact that some stable features in the images with a priori no local motion are needed. In this paper we propose a methodology for creating live cell nuclei image sequences with stable features imposed. The features are defined using the regions of fluorescence bleaching invoked by the UV laser. Data with different deformations are acquired and can be used for evaluation of the cell image registration methods. Along with that, we describe an image analysis technique and a metric that can characterize the quality of the method quantitatively. Workplace Institute of Biophysics Contact Jana Poláková, polakova@ibp.cz, Tel.: 541 517 244 Year of Publishing 2015
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