SagMSI: A graph convolutional network framework for precise spatial segmentation in mass spectrometry imaging.

Journal: Analytica chimica acta
Published Date: Apr 19, 2025

Abstract

BACKGROUND: Mass Spectrometry Imaging (MSI) is a label-free imaging technique used in spatial metabolomics to explore the distribution of various metabolites within biological tissues. Spatial segmentation plays a crucial role in the biochemical interpretation of MSI data, yet the inherent complexity of the data-characterized by large size, high dimensionality, and spectral nonlinearity-poses significant analytical challenges in MSI segmentation. Although deep learning approaches based on convolutional neural networks (CNNs) have shown considerable success in spatial segmentation for biomedical imaging, they often struggle to capture the comprehensive structural information of MSI data.

Authors

  • Mudassir Shah
    Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361005, China.
  • Linlin Wang
    Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Application Technology Research Institute, Shenzhen Polytechnic University, Shenzhen, China.
  • Lei Guo
    Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Chengyi Xie
    State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China.
  • Thomas Ka-Yam Lam
    State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR China.
  • Lingli Deng
    School of Information Engineering, East China University of Technology, Nanchang, 330013, China.
  • Xiangnan Xu
    School of Mathematics and Statistics, The University of Sydney, Sydeny, New South Wales 2006, Australia.
  • Jingjing Xu
    Visionary Intelligence Ltd., Beijing, China.
  • Jiyang Dong
    Department of Electronic Science, Xiamen University, Xiamen, China.
  • Zongwei Cai
    State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong 999077, China. Electronic address: zwcai@hkbu.edu.hk.

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