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  Semi-automatic determination of cell surface areas used in systems biology

Morath, V., Keuper, M., Rodriguez-Franco, M., Deswal, S., Fiala, G., Blumenthal, B., et al. (2013). Semi-automatic determination of cell surface areas used in systems biology. Frontiers in BioScience, 5, 533-545.

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 Creators:
Morath, Volker1, Author
Keuper, Margret, Author
Rodriguez-Franco, Marta, Author
Deswal, Sumit2, Author           
Fiala, Gina2, Author           
Blumenthal, Britta2, Author           
Kaschek, Daniel, Author
Timmer, Jens, Author
Neuhaus, Gunther, Author
Ehl, Stephan, Author
Ronneberger, Olaf, Author
Schamel, Wolfgang Werner A.2, Author           
Affiliations:
1Max Planck Society, ou_persistent13              
2Research Group and Chair of Molecular Immunology of the University of Freiburg, Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society, ou_2243645              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2013
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 677358
 Degree: -

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Title: Frontiers in BioScience
Source Genre: Journal
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Pages: - Volume / Issue: 5 Sequence Number: - Start / End Page: 533 - 545 Identifier: -