Automated digital image quantification of histological staining for the analysis of the trilineage differentiation potential of mesenchymal stem cells

Automated digital image quantification of histological staining for the analysis of the trilineage differentiation potential of mesenchymal stem cells

Abstract Background Multipotent mesenchymal stem cells (MSCs) have the potential to repair and regenerate damaged tissues and are considered as attractive candidates for the development of cell-based regenerative therapies. Currently, there are more than 200 clinical trials involving the use of MSCs...

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Bibliographic Details
Main Authors: Benjamin Eggerschwiler, Daisy D. Canepa, Hans-Christoph Pape, Elisa A. Casanova, Paolo Cinelli
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Stem Cell Research & Therapy
Subjects:
Digital image analysis
Dye quantification
Quantification of differentiation potential
Histology
Microscopy
Mesenchymal stem cells
Online Access:http://link.springer.com/article/10.1186/s13287-019-1170-8

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http://link.springer.com/article/10.1186/s13287-019-1170-8

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