Detailed Information on Publication Record
2014
Visualizing Stable Features in Live Cell Nucleus for Evaluation of the Cell Global Motion Compensation
SOROKIN, Dmitry, Jana SUCHÁNKOVÁ, Eva BÁRTOVÁ and Pavel MATULABasic information
Original name
Visualizing Stable Features in Live Cell Nucleus for Evaluation of the Cell Global Motion Compensation
Authors
SOROKIN, Dmitry (643 Russian Federation, guarantor, belonging to the institution), Jana SUCHÁNKOVÁ (203 Czech Republic), Eva BÁRTOVÁ (203 Czech Republic) and Pavel MATULA (203 Czech Republic, belonging to the institution)
Edition
Folia biologica, Univerzita Karlova, 2014, 0015-5500
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
Genetics and molecular biology
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 1.000
RIV identification code
RIV/00216224:14330/14:00073848
Organization unit
Faculty of Informatics
UT WoS
000343275800007
Keywords in English
cell global motion compensation; UV laser bleaching image registration; stable features; algorithm evaluation
Změněno: 27/4/2015 04:11, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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. The proposed methodology allows building a ground truth dataset for testing and thoroughly evaluating cell image registration methods.
Links
CZ.1.07/2.3.00/30.0030, interní kód MU |
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GBP302/12/G157, research and development project |
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