Exploring heterogeneous cell population dynamics in different microenvironments by novel analytical strategy based on images

• Published in: NPJ systems biology and applications Vol. 10; no. 1; pp. 129 - 10
• Main Authors: Huang, Yihong, Zhou, Zidong, Liu, Tianqi, Tang, Shengnan, Xin, Xuegang
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 06.11.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/553/2701; 631/80; Actin; Actin Cytoskeleton - metabolism; Annotations; Bioinformatics; Biology; Biomedical and Life Sciences; Cell culture; Cell Culture Techniques - methods; Cell Line; Cell Shape - physiology; Cell size; Cells; Cellular Microenvironment - physiology; Collagen; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Contractility; Cytoskeleton; Datasets; Hepatic Stellate Cells - metabolism; Humans; Image Processing, Computer-Assisted - methods; Labeling; Life Sciences; Machine learning; Microenvironments; Morphology; Stellate cells; Systems Biology; Trends

Understanding the dynamic states and transitions of heterogeneous cell populations is crucial for addressing fundamental biological questions. High-content imaging provides rich datasets, but it remains increasingly difficult to integrate and annotate high-dimensional and time-resolved datasets to p...