2014
Visualizing Stable Features in Live Cell Nucleus for Evaluation of the Cell Global Motion Compensation
SOROKIN, Dmitry, Jana SUCHÁNKOVÁ, Eva BÁRTOVÁ a Pavel MATULAZákladní údaje
Originální název
Visualizing Stable Features in Live Cell Nucleus for Evaluation of the Cell Global Motion Compensation
Autoři
SOROKIN, Dmitry (643 Rusko, garant, domácí), Jana SUCHÁNKOVÁ (203 Česká republika), Eva BÁRTOVÁ (203 Česká republika) a Pavel MATULA (203 Česká republika, domácí)
Vydání
Folia biologica, Univerzita Karlova, 2014, 0015-5500
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
Genetika a molekulární biologie
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 1.000
Kód RIV
RIV/00216224:14330/14:00073848
Organizační jednotka
Fakulta informatiky
UT WoS
000343275800007
Klíčová slova anglicky
cell global motion compensation; UV laser bleaching image registration; stable features; algorithm evaluation
Změněno: 27. 4. 2015 04:11, RNDr. Pavel Šmerk, Ph.D.
Anotace
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.
Návaznosti
CZ.1.07/2.3.00/30.0030, interní kód MU |
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GBP302/12/G157, projekt VaV |
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