Automated Image Processing to Quantify Cell Migration

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SHEN, Minmin, Bastian ZIMMER, Marcel LEIST, Dorit MERHOF, 2013. Automated Image Processing to Quantify Cell Migration. In: MEINZER, Hans-Peter, ed., Thomas Martin DESERNO, ed., Heinz HANDELS, ed., Thomas TOLXDORFF, ed.. Bildverarbeitung für die Medizin 2013. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 152-157. ISBN 978-3-642-36479-2

@inproceedings{Shen2013-02-20Autom-22403, title={Automated Image Processing to Quantify Cell Migration}, year={2013}, doi={10.1007/978-3-642-36480-8_28}, isbn={978-3-642-36479-2}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Informatik aktuell}, booktitle={Bildverarbeitung für die Medizin 2013}, pages={152--157}, editor={Meinzer, Hans-Peter and Deserno, Thomas Martin and Handels, Heinz and Tolxdorff, Thomas}, author={Shen, Minmin and Zimmer, Bastian and Leist, Marcel and Merhof, Dorit} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/22403"> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dc:language>eng</dc:language> <dc:rights>deposit-license</dc:rights> <dc:creator>Zimmer, Bastian</dc:creator> <dcterms:title>Automated Image Processing to Quantify Cell Migration</dcterms:title> <dc:creator>Merhof, Dorit</dc:creator> <dcterms:abstract xml:lang="eng">Methods to evaluate migration capacity of stem cells and the inhibition by chemicals are important for biomedical research. Here, we established an automated image processing framework to quantify migration of human neural crest (NC) cells into an initially empty, circular region of interest (ROI). The ROI is partially filled during the experiment by migrating cells. Based on an image captured only once at the end of the biological experiment, the framework identifies the initial ROI. The identification worked also, when the distribution of surrounding cells showed large heterogeneity. After segmentation, the number of migrated cells was identified. The image processing framework was capable of efficiently quantifying chemical effects on cell migration.</dcterms:abstract> <dc:contributor>Merhof, Dorit</dc:contributor> <dcterms:issued>2013-02-20</dcterms:issued> <dc:creator>Leist, Marcel</dc:creator> <dcterms:bibliographicCitation>Bildverarbeitung für die Medizin 2013 : Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 3. bis 5. März 2013 in Heidelberg / Hans-Peter Mainzer ... - Berlin : Springer, 2013. - S. 152-157. - ISBN 978-3-642-36479-2</dcterms:bibliographicCitation> <dc:contributor>Zimmer, Bastian</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/22403"/> <dc:contributor>Shen, Minmin</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-04-04T14:22:01Z</dc:date> <dc:creator>Shen, Minmin</dc:creator> <dc:contributor>Leist, Marcel</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-05-14T22:25:04Z</dcterms:available> </rdf:Description> </rdf:RDF>

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