An Appearance Data‐Driven Model Visualizes Cell State and Predicts Mesenchymal Stem Cell Regenerative Capacity (Small Methods 8/2022). Issue 8 (17th August 2022)

• Record Type: Journal Article
• Authors: Wu, Di; Zhao, Lu; Sui, Bingdong; Tan, Lingping; Lu, Lu; Mao, Xueli; Liao, Guiqing; Shi, Songtao; Cao, Yang; Yang, Xiaobao; Kou, Xiaoxing
• Is Part Of: Small methods. Volume 6:Issue 8(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-08-17
• Subjects: cell appearance -- mathematical models -- mesenchymal stem cells -- predictive models -- regenerative capacities; Nanotechnology -- Methodology -- Periodicals; Nanotechnology -- Periodicals; Periodicals; 620.5028
• DOI: 10.1002/smtd.202270045
• Languages: English
• ISSNs: 2366-9608

Abstract

Abstract : Inside Front Cover In article number 2200087, Cao, Yang, Kou, and co‐workers constructed an appearance data‐driven mathematical model that excavates four optimal fitted indices, including nucleus roundness, nucleus/cytoplasm ratio, side‐scatter height, and ERK1/2 to evaluate the regenerative capacity of mesenchymal stem cells (MSCs) in vitro. This work provides a potential approach to quantify MSCs' capability in basic and translational studies.