Improving Spatial Transcriptomics with Membrane‐Based Boundary Definition and Enhanced Single‐Cell Resolution (Small Methods 5/2025)
Single-Cell Resolution In article number 2401056, Yanmei Liu, Ji-Feng Fei, and co-workers introduce a cell membrane genetic-labeling model to precisely define cell boundaries in sequencing-based spatial transcriptomics. This work demonstrates that cell segmentation based on cell membranes more accurately represents the true single cells in actual tissues and organs compared to nucleus or algorithmic-based methods, particularly in the case of irregular and multinucleated cells, thereby improving single-cell resolution and enhancing the analytical power of spatial transcriptomics.
Authors
- Zhou Yong (ORCID: https://orcid.org/0000-0003-1354-0447)
- Cheng Peng (ORCID: https://orcid.org/0000-0002-6452-4431)
- Zitian He
- Xiao Cui (ORCID: https://orcid.org/0000-0002-8501-1395)
- Ji‐Feng Fei (ORCID: https://orcid.org/0000-0003-2426-9402)
- Song Li (ORCID: https://orcid.org/0000-0003-2713-9136)
- Liqun Wang (ORCID: https://orcid.org/0000-0002-0842-8840)
- Jie Xu (ORCID: https://orcid.org/0000-0002-1579-0338)
- Yanmei Liu (ORCID: https://orcid.org/0000-0001-9380-2560)
Institutions
- South China Normal University (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Southern Medical University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Small Methods
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1002/smtd.202570034
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00