Linked Life Data

16921497

Source:http://linkedlifedata.com/resource/pubmed/id/16921497

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2006-10-25
pubmed:abstractText
We report an accurate method for studying the functional dynamics of the beating embryonic zebrafish heart. The fast cardiac contraction rate and the high velocity of blood cells have made it difficult to study cellular and subcellular events relating to heart function in vivo. We have devised a dynamic three-dimensional acquisition, reconstruction, and analysis procedure by combining (1) a newly developed confocal slit-scanning microscope, (2) novel strategies for collecting and synchronizing cyclic image sequences to build volumes with high temporal and spatial resolution over the entire depth of the beating heart, and (3) data analysis and reduction protocols for the systematic extraction of quantitative information to describe phenotype and function. We have used this approach to characterize blood flow and heart efficiency by imaging fluorescent protein-expressing blood and endocardial cells as the heart develops from a tube to a multichambered organ. The methods are sufficiently robust to image tissues within the heart at cellular resolution over a wide range of ages, even when motion patterns are only quasiperiodic. These tools are generalizable to imaging and analyzing other cyclically moving structures at microscopic scales.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1058-8388
pubmed:author
pubmed:copyrightInfo
(c) 2006 Wiley-Liss, Inc.
pubmed:issnType
Print
pubmed:volume
235
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2940-8
pubmed:dateRevised
2007-12-3
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Rapid three-dimensional imaging and analysis of the beating embryonic heart reveals functional changes during development.
pubmed:affiliation
Biological Imaging Center, Beckman Institute, Caltech, Pasadena, California, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural