Document Detail

Semi-automatic determination of cell surface areas used in systems biology .
MedLine Citation:
PMID:  23277009     Owner:  NLM     Status:  In-Data-Review    
Quantitative biology requires high precision measurement of cellular parameters such as surface areas or volumes. Here, we have developed an integrated approach in which the data from 3D confocal microscopy and 2D high-resolution transmission electron microscopy were combined. The volumes and diameters of the cells within one population were automatically measured from the confocal data sets. The perimeter of the cell slices was measured in the TEM images using a semi-automated segmentation into background, cytoplasm and nucleus. These data in conjunction with approaches from stereology allowed for an unbiased estimate of surface areas with high accuracy. We have determined the volumes and surface areas of the cells and nuclei of six different immune cell types. In mast cells for example, the resulting cell surface was 3.5 times larger than the theoretical surface assuming the cell was a sphere with the same volume. Thus, our accurate data can now serve as inputs in modeling approaches in systems immunology.
Volker Morath; Margret Keuper; Marta Rodriguez-Franco; Sumit Deswal; Gina Fiala; Britta Blumenthal; Daniel Kaschek; Jens Timmer; Gunther Neuhaus; Stephan Ehl; Olaf Ronneberger; Wolfgang Werner A Schamel
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Publication Detail:
Type:  Journal Article     Date:  2013-01-01
Journal Detail:
Title:  Frontiers in bioscience (Elite edition)     Volume:  5     ISSN:  1945-0508     ISO Abbreviation:  Front Biosci (Elite Ed)     Publication Date:  2013  
Date Detail:
Created Date:  2013-01-01     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101485240     Medline TA:  Front Biosci (Elite Ed)     Country:  United States    
Other Details:
Languages:  eng     Pagination:  533-45     Citation Subset:  IM    
BIOSS Centre for Biological Signaling Studies, University of Freiburg, Germany.
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