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Articles by Weitong Chen in JoVE
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Mammalian Cell Division in 3D Matrices via Quantitative Confocal Reflection Microscopy
Lijuan He*1,2, Alexandra Sneider*1, Weitong Chen1, Michelle Karl1, Vishnu Prasath3, Pei-Hsun Wu1,2, Gunnar Mattson3, Denis Wirtz1,2,4
1Department of Chemical and Biomolecular Engineering, Johns Hopkins University, 2Johns Hopkins Physical Sciences - Oncology Center, Johns Hopkins University, 3Department of Biomedical Engineering, Johns Hopkins University, 4Departments of Oncology and Pathology and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine
This protocol efficiently studies mammalian cell division in 3D collagen matrices by integrating synchronization of cell division, monitoring of division events in 3D matrices using live-cell imaging technique, time-resolved confocal reflection microscopy and quantitative imaging analysis.
Other articles by Weitong Chen on PubMed
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Pluri-IQ: Quantification of Embryonic Stem Cell Pluripotency Through An Image-Based Analysis Software
Stem Cell Reports.
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Pubmed ID: 28712847 Image-based assays, such as alkaline phosphatase staining or immunocytochemistry for pluripotent markers, are common methods used in the stem cell field to assess pluripotency. Although an increased number of image-analysis approaches have been described, there is still a lack of software availability to automatically quantify pluripotency in large images after pluripotency staining. To address this need, we developed a robust and rapid image processing software, Pluri-IQ, which allows the automatic evaluation of pluripotency in large low-magnification images. Using mouse embryonic stem cells (mESC) as a model, we combined an automated segmentation algorithm with a supervised machine-learning platform to classify colonies as pluripotent, mixed, or differentiated. In addition, Pluri-IQ allows the automatic comparison between different culture conditions. This efficient user-friendly open-source software can be easily implemented in images derived from pluripotent cells or cells that express pluripotent markers (e.g., OCT4-GFP) and can be routinely used, decreasing image assessment bias.
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