Light scattering imaging modal expansion cytometry for label-free single-cell analysis with deep learning.

Journal: Computer methods and programs in biomedicine
PMID: 40112688

Abstract

BACKGROUND AND OBJECTIVE: Single-cell imaging plays a key role in various fields, including drug development, disease diagnosis, and personalized medicine. To obtain multi-modal information from a single-cell image, especially for label-free cells, this study develops modal expansion cytometry for label-free single-cell analysis.

Authors

  • Zhi Li
    Department of Nursing, Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Traditional Chinese Medicine, Zhongshan, China.
  • Xiaoyu Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Guosheng Li
    Department of Hematology, Qilu Hospital of Shandong University, Jinan 250012, China.
  • Jun Peng
    a Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410078, China.
  • Xuantao Su
    Institute of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, Shandong, 250061, China.

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