Special Mini-Issue: Quantitative methods to decipher cellular heterogeneity - from single-cell to spatial omic methods

Xi Chen; Angela Ruohao Wu

doi:10.1007/s12551-024-01180-y

Special Mini-Issue: Quantitative methods to decipher cellular heterogeneity - from single-cell to spatial omic methods

Biophys Rev. 2024 Jan 30;16(1):11-12. doi: 10.1007/s12551-024-01180-y. eCollection 2024 Feb.

Authors

Xi Chen¹, Angela Ruohao Wu^{2

3}

Affiliations

¹ Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
² Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R China.
³ Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong S.A.R China.

PMID: 38495439
PMCID: PMC10937863 (available on 2025-01-30)
DOI: 10.1007/s12551-024-01180-y

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.

Publication types

Editorial