MATISSE: An analysis protocol for combining imaging mass cytometry with fluorescence microscopy to generate single-cell data
Publication date
2022-03-18
Authors
Krijgsman, D
Sinha, Neeraj
Baars, Matthijs
Van Dam, S
Amini, Mojtaba
Vercoulen, Yvonne
Editors
Advisors
Supervisors
Document Type
Article
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License
cc_by_nc_nd
Abstract
Exploring tissue heterogeneity on a single-cell level by imaging mass cytometry (IMC) remains challenging because of its limiting resolution. We previously demonstrated that combining higher resolution fluorescence with IMC data in the analysis pipeline resulted in high-quality single-cell segmentation. Here, we provide a step-by-step workflow of this MATISSE pipeline, including instructions regarding the staining procedure, and the analysis route to generate single-cell data. For complete details on the use and execution of this protocol, please refer to Baars et al., 2021.
Keywords
Antibody, Bioinformatics, Biotechnology and bioengineering, Cell Biology, Flow Cytometry/Mass Cytometry, Microscopy, Single Cell, Image Cytometry, Staining and Labeling, Workflow, Microscopy, Fluorescence, General Biochemistry,Genetics and Molecular Biology, General Immunology and Microbiology, General Neuroscience, Research Support, Non-U.S. Gov't, Journal Article
Citation
Krijgsman, D, Sinha, N, Baars, M J D, van Dam, S, Amini, M & Vercoulen, Y 2022, 'MATISSE : An analysis protocol for combining imaging mass cytometry with fluorescence microscopy to generate single-cell data', STAR protocols, vol. 3, no. 1, 101034, pp. 1-36. https://doi.org/10.1016/j.xpro.2021.101034