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. 2023 Mar 31;128(11):2104–2115. doi: 10.1038/s41416-023-02238-6

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© The Author(s) 2023

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Fig. 1 — a Digitised multiplex immunohistochemistry image from each staining cycle for one tumour. b, c Image co-registration based on aligning the hematoxylin layers to merge individual images into one 10-channel pseudo-immunofluorescence image. d example images showing the expression patterns of each marker merged and separately. e−h pseudo-immunofluorescence image (e), machine learning-based cell segmentation and phenotyping into T cells, macrophages, tumour cells, and other cells (f), and mask images of the categorisation of tissue into tumour epithelium and stroma (g, h).