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Image analysis of self-organized multicellular patterns : multicellular pattern formation on compliant elastomer surfaces as model system

  • Analysis of multicellular patterns is required to understand tissue organizational processes. By using a multi-scale object oriented image processing method, the spatial information of cells can be extracted automatically. Instead of manual segmentation or indirect measurements, such as general distribution of contrast or flow, the orientation and distribution of individual cells is extracted for quantitative analysis. Relevant objects are identified by feature queries and no low-level knowledge of image processing is required.

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Metadaten
Name:Thies, Christian; Khachaturyan, Galina; Kemkemer, Ralf
URN:urn:nbn:de:bsz:rt2-opus4-12348
DOI:https://doi.org/10.1515/cdbme-2016-0116
eISSN:2364-5504
Erschienen in:Current directions in biomedical engineering
Publisher:De Gruyter
Place of publication:Berlin
Document Type:Article
Language:English
Year of Publication:2016
Tag:cell segmentation; image analysis; object extraction; phase contrast micrographs; spatial information; tissue organization
Volume:2
Issue:1
Pagenumber:5
First Page:523
Last Page:527
Dewey Decimal Classification:570 Biowissenschaften, Biologie
Open Access:Ja
Licence (German):License Logo  Creative Commons - Namensnennung, nicht kommerziell, keine Bearbeitung