Development of image analysis software for quantification of viable cells in microchips
Abstract: Over the past few years, image analysis has emerged as a powerful tool for analyzing various cell biology parameters in an unprecedented and highly specific manner. The amount of data that is generated requires automated methods for the processing and analysis of all the resulting information. The software available so far are suitable for the processing of fluorescence and phase contrast images, but often do not provide good results from transmission light microscopy images, due to the intrinsic variation of the acquisition of images technique itself (adjustment of brightness / contrast, for instance) and the variability between image acquisition introduced by operators / equipment. In this contribution, it has been presented an image processing software, Python based image analysis for cell growth (PIACG), that is able to calculate the total area of the well occupied by cells with fusiform and rounded morphology in response to different concentrations of fetal bovine serum in microfluidic chips, from microscopy images in transmission light, in a highly efficient way
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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PLOS ONE. - 13, 3 (2018) , e0193605, ISSN: 1932-6203
- Ereignis
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Veröffentlichung
- (wo)
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Freiburg
- (wer)
-
Universität
- (wann)
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2019
- Urheber
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Georg, Maximilian
Fernández-Cabada, Tamara
Bourguignon, Natalia
Karp, Paola
Peñaherrera, Ana B.
Helguera, Gustavo
Lerner, Betiana
Pérez, Maximiliano S.
Mertelsmann, Roland
- DOI
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10.1371/journal.pone.0193605
- URN
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urn:nbn:de:bsz:25-freidok-1477170
- Rechteinformation
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Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
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Beteiligte
- Georg, Maximilian
- Fernández-Cabada, Tamara
- Bourguignon, Natalia
- Karp, Paola
- Peñaherrera, Ana B.
- Helguera, Gustavo
- Lerner, Betiana
- Pérez, Maximiliano S.
- Mertelsmann, Roland
- Universität
Entstanden
- 2019
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