Protocol Citation: Clarence Yapp, Ajit Johnson Nirmal, Felix Zhou, Zoltan Maliga, Juliann Tefft, Paula Montero Llopis, George F. Murphy, Christine G. Lian, Gaudenz Danuser, Sandro Santagata, Peter Sorger 2025. 3D Tissue Cyclic Immunofluorescence (3D CyCIF). protocols.io https://dx.doi.org/10.17504/protocols.io.261ge59m7g47/v1 Manuscript citation: Yapp C, Nirmal AJ, Zhou FY, Maliga Z, Tefft J, Montero Llopis P, Murphy GF, Lian C, Danuser G, Santagata S, Sorger PK. Multiplexed 3D Analysis of Immune States and Niches in Human Tissue. bioRxiv, 2023. DOI: 10.1101/2023.11.10.566670. PMCID: PMC10680601
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Protocol status: WorkingWe use this protocol and it's working.
Created: August 06, 2024
Last Modified: April 09, 2025
Protocol Integer ID: 104754
Keywords: cyclic immunofluorescence, multiplexed imaging, cycif, 3D imaging, dimensional cyclic immunofluorescence, multiplexed 3d analysis of immune state, original cyclic immunofluorescence, 3d cycif, immunofluorescence, cycif method, precise analysis of cell phenotype, micron thick tissue sample, multiplexed 3d analysis, images of human tissue, thick tissue sample, cell phenotype, multiple layers of intact cell, original method for confocal imaging, cell, confocal imaging, niches in human tissue, cell interaction
Funders Acknowledgements:NIH National Cancer Institute
Grant ID: U2C-CA233262
NIH National Cancer Institute
Grant ID: R00CA256497
NIH National Cancer Institute
Grant ID: R50-CA252138
NIH National Cancer Institute
Grant ID: U54-CA268072