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Special Mini-Issue: Quantitative methods to decipher cellular heterogeneity - from single-cell to spatial omic methods.
Chen, Xi; Wu, Angela Ruohao.
Afiliación
  • Chen X; Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
  • Wu AR; Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R China.
Biophys Rev ; 16(1): 11-12, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38495439
ABSTRACT
In this mini-issue, we have a collection of eight reviews that discuss various advanced topics on the investigation of cellular heterogeneity. These reviews highlight the latest developments in technologies that capture and assess biology at single cell resolution, as well as approaches for cellular measurements with spatial information. Challenges and opportunities to develop future innovations and approaches are also presented.