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Seventeen-colour flow cytometry: unravelling the immune system
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“This strategy also applies to gating of N barcodes simultaneously in parallel optical channels, which offers file selection sensitivity of 1 in 106N total files, where common commercial FAS systems offer up to N = 17 channels38,39.”
From Random access DNA memory using Boolean search in an archival file storage system (2021) · cites this paper as [38]
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Semiconductor Nanocrystals as Fluorescent Biological Labels
Bruchez, M. P., Moronne, M. M., Gin, P., Weiss, S., & Alivisatos, A. P. (1998) · Science · doi:10.1126/science.281.5385.2013 · Cited by 8,614
Two subsets of memory T lymphocytes with distinct homing potentials and effector functions
Sallusto, F., Lenig, D., Förster, R., Lipp, M., & Lanzavecchia, A. (1999) · Nature · doi:10.1038/44385 · Cited by 5,846
HIV preferentially infects HIV-specific CD4+ T cells
Douek, D. C., Brenchley, J. M., Betts, M. R., Ambrozak, D. R., Hill, B. J., Okamoto, Y., Casazza, J. P., Kuruppu, J. C., Kunstman, K., Wolinsky, S. M., et al. (2002) · Nature · doi:10.1038/417095a · Cited by 1,261
Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients
Lee, P. P., Yee, C., Savage, P. A., Fong, L. H., Brockstedt, D. G., Weber, J. S., Johnson, D. L., Swetter, S. M., Thompson, J. A., Greenberg, P. D., et al. (1999) · Nature Medicine · doi:10.1038/9525 · Cited by 1,117
Self-citationBrenchley, J. M., Karandikar, N. J., Betts, M. R., Ambrozak, D. R., Hill, B. J., Crotty, L. E., Casazza, J. P., Kuruppu, J., Migueles, S. A., Connors, M., et al. (2003) · Blood · doi:10.1182/blood-2002-07-2103 · Cited by 1,073
Self-citationSkewed maturation of memory HIV-specific CD8 T lymphocytes
Champagne, P., Ogg, G. S., King, A. S., Knabenhans, C., Ellefsen, K., Nobile, M., Appay, V., Rizzardi, G. P., Fleury, S., Lipp, M., et al. (2001) · Nature · doi:10.1038/35065118 · Cited by 1,002
Fluorescence Activated Cell Sorting
Bonner, W. A., Hulett, H. R., Sweet, R. G., & Herzenberg, L. A. (1972) · Review of Scientific Instruments · doi:10.1063/1.1685647 · Cited by 777
Persistent immune activation in HIV-1 infection is associated with progression to AIDS
Hazenberg, M. D., Otto, S. A., BENTHEM, B. H. B. V., Roos, M. T. L., Coutinho, R. A., Lange, J. M. A., Hamann, D., Prins, M., & Miedema, F. F. (2003) · AIDS · doi:10.1097/00002030-200309050-00006 · Cited by 764
Herzenberg, L. A., Parks, D. R., Sahaf, B., Perez, O. D., Roederer, M., & Herzenberg, L. A. (2002) · Clinical Chemistry · doi:10.1093/clinchem/48.10.1819 · Cited by 603
Self-citationSpectral compensation for flow cytometry: Visualization artifacts, limitations, and caveats
Roederer, M. (2001) · Cytometry · doi:10.1002/1097-0320(20011101)45:3 · Cited by 561
Self-citation
Research works printed but not linked: 3
- Perfetto, S., De Rosa, S. D. & Roederer, M. in Flow Cytometry (eds Darzynkiewicz, D., Tanke, H. & Roederer, M.) (Elsevier, San Diego, in the press).
- Roederer, M., Moore, W., Treister, A., Hardy, R. R. & Herzenberg, L. A. Probability binning comparison: a metric for quantitating multivariate distribution differences. Cytometry 45, 47–55 (2001). · DOI
- Roederer, M., Treister, A., Moore, W. & Herzenberg, L. A. Probability binning comparison: a metric for quantitating univariate distribution differences. Cytometry 45, 37–46 (2001). · DOI
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Metadata
- Authors
- Perfetto, S. P., Chattopadhyay, P. K., & Roederer, M.
- Affiliations
- National Institutes of Health (US)
- Venue
- Nature Reviews Immunology
- Published
- 2004-08
- Volume
- 4
- Issue
- 8
- Pages
- 648-655
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- OpenAlex
- W1767380958
- Cited by
- 1,019
- References
- 26
- Citations by year
- 2026: 26 · 2025: 33 · 2024: 26 · 2023: 39 · 2022: 40 · 2021: 47 · 2020: 50 · 2019: 39 · 2018: 53 · 2017: 59 · 2016: 62 · 2015: 48 · 2014: 53 · 2013: 65 · 2012: 61
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature reviews. Immunology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Lasten Syöpäsäätiö Väreen
- Suomen Kulttuurirahasto
- National Institutes of Health (Z99 AI999999)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Bio-sensing Technologies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Keywords
- polychromatic flow cytometry, flow cytometry instrumentation, fluorescent reagent
- MeSH terms
- Animals, Flow Cytometry, Fluorescent Dyes, Humans, Immune System, Immunophenotyping
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