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Staining one tumour slide for several proteins in different colours, then using software to count immune and cancer cells and measure how close they are.
Multiplex immunofluorescence extends standard immunohistochemistry to six to eight markers per slide using tyramide signal amplification and multispectral imaging (Akoya Phenoptics), or to dozens with cyclic staining (CODEX/PhenoCycler). Combined with image analysis it quantifies immune-cell composition and spatial arrangement, which large meta-analyses have found to predict response to checkpoint inhibitors better than PD-L1 staining alone.
Sequential antibody staining with fluorescent tyramide deposition, antibody stripping between rounds, and spectral unmixing to separate channels.
Query for this technology: (TITLE:"Multiplex immunofluorescence" OR ABSTRACT:"Multiplex immunofluorescence") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Multiplex immunofluorescence, not a curated reading list.
Shares Vicinity Bio, Digital pathology & AI.
Shares Navignostics, Vicinity Bio, Digital pathology & AI.
Open-source projects that implement or serve this technology, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
A generalist deep-learning cell segmentation model used widely on histology, multiplex and cell-culture images.
Dana-Farber's toolkit for computational pathology: preprocessing whole-slide and multiplex images and training models.
Harvard's pipeline for multiplexed tissue imaging: stitching, segmentation and single-cell quantification for CyCIF, CODEX and similar data.