Sub-micrometer anatomical models of the sarcolemma of cardiac myocytes based on confocal imaging.

Sub-micrometer anatomical models of the sarcolemma of cardiac myocytes based on confocal imaging. Research Abstract Details 

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Sub-micrometer anatomical models of the sarcolemma of cardiac myocytes based on confocal imaging. Abstract Text:

Frank B Sachse,Eleonora Savio-Galimberti,Joshua I Goldhaber,John H B Bridge,

We describe an approach to develop anatomical models of cardiac cells. The approach is based on confocal imaging of living ventricular myocytes with submicrometer resolution, digital image processing of three-dimensional stacks with high data volume, and generation of dense triangular surface meshes representing the sarcolemma including the transverse tubular system. The image processing includes methods for deconvolution, filtering and segmentation. We introduce and visualize models of the sarcolemma of whole ventricular myocytes and single transversal tubules. These models can be applied for computational studies of cell and sub-cellular physical behavior and physiology, in particular cell signaling. Furthermore, the approach is applicable for studying effects of cardiac development, aging and diseases, which are associated with changes of cell anatomy and protein distributions.

Sub-micrometer anatomical models of the sarcolemma of cardiac myocytes based on confocal imaging. Publishing Authors By Initials

FB Sachse,E Savio-Galimberti,JI Goldhaber,JH Bridge,

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Sub-micrometer anatomical models of the sarcolemma of cardiac myocytes based on confocal imaging. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Pacific Symposium on Biocomputing. Pacific Symposi

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Page Numbers: 390-401

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ISSN: 1793-5091

DAY: 30

MONTH: 01

YEAR: 2008

Sub-micrometer anatomical models of the sarcolemma of cardiac myocytes based on confocal imaging. Information

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LANGUAGE: eng

NlmUniqueID: 9711271

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Grant and Affiliation Information for Sub-micrometer anatomical models of the sarcolemma of cardiac myocytes based on confocal imaging.

AFFILIATION: Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT 84112, USA.

Country: Singapore

AGENCY: United States NHLBI

GRANT: HL70828

ACRONYM: HL

MEDLINETA: Pac Symp Biocomput

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