Source:http://linkedlifedata.com/resource/pubmed/id/19107827
Switch to
Predicate | Object |
---|---|
rdf:type | |
lifeskim:mentions | |
pubmed:issue |
4
|
pubmed:dateCreated |
2009-3-25
|
pubmed:abstractText |
Quantification of cardiomyocyte contraction is usually obtained by measuring globally cell shortening from the displacement of cell extremities. We developed a correlation-based optical flow method, which correlates the whole-cell temporal pattern with a precise quantification of the intracellular strain wave at the sarcomeres level. A two-dimensional image correlation analysis of cardiomyocytes phase-contrast images was developed to extract local cell deformations from videomicroscopy time-lapse sequences. Test images, synthesized from known intensity displacement fields, were first used to validate the method. Intracellular strain fields were then computed from videomicroscopy time-lapse sequences of single adult and neonatal cardiomyocytes. The propagation of the sarcomeres contraction-relaxation wave during cell contraction has been successfully quantified. The time-varying patterns of intracellular displacement were obtained accurately, even when cardiomyocyte bending occurred in pace with contraction. Interestingly, the characterization of the successive 2D displacement fields show a direct quantification of the variation with time of intracellular strains anywhere in the cell. The proposed method enables a quantitative analysis of cardiomyocyte contraction without requiring wave tracking with the use of fluorescent calcium probes. Thus, our algorithmic approach provides a fast and efficient tool for analyzing the correlation between global cell dynamical behavior and mechanosensitive intracellular processes.
|
pubmed:language |
eng
|
pubmed:journal | |
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Apr
|
pubmed:issn |
1552-4930
|
pubmed:author | |
pubmed:copyrightInfo |
(c) 2008 International Society for Advancement of Cytometry.
|
pubmed:issnType |
Electronic
|
pubmed:volume |
75
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
298-308
|
pubmed:meshHeading |
pubmed-meshheading:19107827-Algorithms,
pubmed-meshheading:19107827-Animals,
pubmed-meshheading:19107827-Animals, Newborn,
pubmed-meshheading:19107827-Cells, Cultured,
pubmed-meshheading:19107827-Heart,
pubmed-meshheading:19107827-Image Cytometry,
pubmed-meshheading:19107827-Microscopy, Phase-Contrast,
pubmed-meshheading:19107827-Microscopy, Video,
pubmed-meshheading:19107827-Muscle Contraction,
pubmed-meshheading:19107827-Myocardium,
pubmed-meshheading:19107827-Myocytes, Cardiac,
pubmed-meshheading:19107827-Rats,
pubmed-meshheading:19107827-Sarcomeres,
pubmed-meshheading:19107827-Software,
pubmed-meshheading:19107827-Stress, Mechanical,
pubmed-meshheading:19107827-Time Factors
|
pubmed:year |
2009
|
pubmed:articleTitle |
Quantification of cardiomyocyte contraction based on image correlation analysis.
|
pubmed:affiliation |
Equipe DynaCell, Laboratoire TIMC-IMAG, UMR CNRS 5525, Institut de l'Ingénierie et de l'Information de Santé, (In3S), Faculté de Médecine de Grenoble, 38706 La Tronche Cedex, France.
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|