Cell DIVE
Year: 2026
Type: standard
Abstract: Cell DIVE is a highly multiplexed fluorescence imaging assay that enables quantification of more than 60 protein biomarkers within a single, intact fixed tissue section. The workflow consists of iterative cycles of antibody staining, multi-channel fluorescence imaging, and chemical dye inactivation, with each cycle adding additional protein targets to the cumulative dataset. This approach provides high-dimensional, spatially resolved protein expression profiles at single-cell resolution without destroying the tissue.
Authors: Fisher, Stephen A, Hardi, Josef, Morgan, Richard, Musen, Mark A, Silverstein, Jonathan C, Nordgren, Erik, Kant, Peter M, Honick, Brendan John, O'Connor, Martin J, Rosario, Jean G, Gehlenborg, Nils, Blood, Philip D, Ahn, Kyung Jin, Anderton, Christopher R, Bandyopadhyay, Shovik, Bedi, Kenneth C, Brusko, Maigan, Campbell-Thompson, Martha, Carson, James, Carver, Chase M, Chen, Jing, Corbett, Anthony M, Cuaycal, Alexandra E, Cuda, Penny, Diep, Dinh, Domanskyi, Sergii, Donahue, Sean, Duffy, Michael P, Eadon, Michael T, Fan, Jean, Farrow, Melissa A, Fisch, Kathleen M, Flynn, William F, Fulcher, James M, Ghose, Soumya, Ginty, Fiona, Gonçalves, Joana P, He, Yongqun, Hu, Po, Jain, Sanjay, Karathanos, Thomas V, Kaushal, Madhurima, Kruse, Angela RS, Kwon, Yumi, Lake, Blue B, Lardenoije, Roy, Lin, Shin, Lin, Yiing, Lindsay, Scott A, Lu, Peiran, Mathews, Clayton, McDonough, Elizabeth, Melo Ferreira, Ricardo, Monte, Emma M, O'Neill, Kathleen, Pang, Minxing, Parast, Mana, Pei, Liming, Peters, Samuel, Pillai, Ajay, Pryhuber, Gloria, Qin, Ling, Rajbhandari, Presha, Ruffalo, Matthew M, Sarder, Pinaki, Saunders, Diane C, Schneider, Kevin, Shi, Lingyan, Sivajothi, Santhosh, Smith, David, Spraggins, Jeff M, Stanley, Valentina, Tan, Kai, Thadi, Anusha, Tian, Hua, Turner, Morgan L, Vlachos, Ioannis S, Winfree, Seth, Wu, Pei-Hsun, Zemaitis, Kevin J, Zhou, Mowei, Zhu, Chenchen
Institutions: University of Pennsylvania, Stanford University, University of Pittsburgh, Otsuka (United States), Pittsburgh Supercomputing Center, Carnegie Mellon University, Harvard University, Children's Hospital of Philadelphia, Pacific Northwest National Laboratory, Brigham and Women's Hospital, University of Florida, The University of Texas at Austin, Mayo Clinic, University of Rochester Medicine, University of Rochester, University of California San Diego, Altos Labs, The Jackson Laboratory for Genomic Medicine, Indiana University School of Medicine, Johns Hopkins University, Vanderbilt University, Delft University of Technology, University of Michigan, Washington University in St. Louis, The Ohio State University, Emory University, University of Minnesota, National Institutes of Health, Columbia University, Northwestern University, Lurie Children's Hospital, Buck Institute for Research on Aging, Columbia University Irving Medical Center, Broad Institute, Beth Israel Deaconess Medical Center, University of Nebraska Medical Center, Zhejiang University
Language: EN
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7213580110
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