Self-supervised deep learning for highly efficient spatial immunophenotyping.

Journal: EBioMedicine
Published Date: Sep 4, 2023

Abstract

BACKGROUND: Efficient biomarker discovery and clinical translation depend on the fast and accurate analytical output from crucial technologies such as multiplex imaging. However, reliable cell classification often requires extensive annotations. Label-efficient strategies are urgently needed to reveal diverse cell distribution and spatial interactions in large-scale multiplex datasets.

Authors

  • Hanyun Zhang
    Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK; Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
  • Khalid AbdulJabbar
    Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK; Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
  • Tami Grunewald
    Department of Oncology, UCL Cancer Institute, University College London, London, UK.
  • Ayse U Akarca
    Department of Cellular Pathology, University College London Hospital, London, UK.
  • Yeman Hagos
    Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK; Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
  • Faranak Sobhani
    Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK; Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
  • Catherine S Y Lecat
    Research Department of Hematology, Cancer Institute, University College London, UK.
  • Dominic Patel
    Research Department of Hematology, Cancer Institute, University College London, UK.
  • Lydia Lee
    Research Department of Hematology, Cancer Institute, University College London, UK.
  • Manuel Rodriguez-Justo
    Research Department of Pathology, University College London, London, United Kingdom.
  • Kwee Yong
    Research Department of Hematology, Cancer Institute, University College London, UK.
  • Jonathan A Ledermann
    Department of Oncology, UCL Cancer Institute, University College London, London, UK.
  • John Le Quesne
    School of Cancer Sciences, University of Glasgow, Glasgow, UK; CRUK Beatson Institute, Garscube Estate, Glasgow, UK; Department of Histopathology, Queen Elizabeth University Hospital, Glasgow, UK.
  • E Shelley Hwang
    Department of Surgery, Duke University School of Medicine, Durham, North Carolina.
  • Teresa Marafioti
    Department of Cellular Pathology, University College London Hospital, London, UK.
  • Yinyin Yuan
    Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK; Division of Molecular Pathology, The Institute of Cancer Research, London, UK. Electronic address: yyuan6@mdanderson.org.

Keywords

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