 Flow Cytometry
"Flow Cytometry" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Technique using an instrument system for making, processing, and displaying one or more measurements on individual cells obtained from a cell suspension. Cells are usually stained with one or more fluorescent dyes specific to cell components of interest, e.g., DNA, and fluorescence of each cell is measured as it rapidly transverses the excitation beam (laser or mercury arc lamp). Fluorescence provides a quantitative measure of various biochemical and biophysical properties of the cell, as well as a basis for cell sorting. Other measurable optical parameters include light absorption and light scattering, the latter being applicable to the measurement of cell size, shape, density, granularity, and stain uptake.
| Descriptor ID |
D005434
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| MeSH Number(s) |
E01.370.225.500.363.342 E01.370.225.500.386.350 E05.196.712.516.600.240.350 E05.200.500.363.342 E05.200.500.386.350 E05.242.363.342 E05.242.386.350
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| Concept/Terms |
Flow Cytometry- Flow Cytometry
- Microfluorometry, Flow
- Flow Microfluorometries
- Flow Microfluorometry
- Microfluorometries, Flow
- Flow Microfluorimetry
- Microfluorimetry, Flow
- Cytofluorometry, Flow
- Cytofluorometries, Flow
- Flow Cytofluorometries
- Flow Cytofluorometry
- Cytometry, Flow
- Cytometries, Flow
- Flow Cytometries
Fluorescence-Activated Cell Sorting- Fluorescence-Activated Cell Sorting
- Cell Sorting, Fluorescence-Activated
- Cell Sortings, Fluorescence-Activated
- Fluorescence Activated Cell Sorting
- Fluorescence-Activated Cell Sortings
- Sorting, Fluorescence-Activated Cell
- Sortings, Fluorescence-Activated Cell
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Below are MeSH descriptors whose meaning is more general than "Flow Cytometry".
Below are MeSH descriptors whose meaning is more specific than "Flow Cytometry".
This graph shows the total number of publications written about "Flow Cytometry" by people in this website by year, and whether "Flow Cytometry" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 1 | 8 | 9 | | 1997 | 0 | 7 | 7 | | 1998 | 0 | 8 | 8 | | 1999 | 0 | 11 | 11 | | 2000 | 0 | 12 | 12 | | 2001 | 0 | 14 | 14 | | 2002 | 2 | 27 | 29 | | 2003 | 0 | 20 | 20 | | 2004 | 3 | 33 | 36 | | 2005 | 1 | 23 | 24 | | 2006 | 3 | 32 | 35 | | 2007 | 3 | 18 | 21 | | 2008 | 4 | 24 | 28 | | 2009 | 6 | 37 | 43 | | 2010 | 6 | 46 | 52 | | 2011 | 3 | 49 | 52 | | 2012 | 1 | 46 | 47 | | 2013 | 3 | 40 | 43 | | 2014 | 4 | 44 | 48 | | 2015 | 7 | 44 | 51 | | 2016 | 6 | 22 | 28 | | 2017 | 5 | 21 | 26 | | 2018 | 14 | 18 | 32 | | 2019 | 10 | 20 | 30 | | 2020 | 5 | 17 | 22 | | 2021 | 3 | 7 | 10 | | 2022 | 0 | 10 | 10 | | 2023 | 1 | 5 | 6 | | 2024 | 5 | 9 | 14 | | 2025 | 5 | 3 | 8 | | 2026 | 1 | 1 | 2 |
To return to the timeline, click here.
Below are the most recent publications written about "Flow Cytometry" by people in Profiles.
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Marschner S, Lee D, Rugg N, Brown B, Nestheide S, Wellington M, Kanias T, Tatari-Calderone Z, Bhujbal R, Finlon J, Rahman M, Cancelas JA. Multi-center development and validation of a standardized protocol for biotinylated red blood cell analysis. Transfusion. 2026 May; 66(5):923-932.
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Jackson G, Islam H, de Souza Teixeira AA, Boultbee J, Marcotte-Chénard A, DeSouza C, Li ITS, Little J. Extracellular vesicles in type 2 diabetes exhibit elevated miR-155 cargo and Annexin A1 concentration. Life Sci. 2026 May 01; 392:124297.
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Lee B, Chou WW, Chen HY, Mossad D, Hsu M, Bowman B, Patra K, Zhang H, Lay FY, Villamena FA, Xin G, Bruno RS, Levine M, Zhu J, Novais F, Lio CJ. SALSA: a novel flow cytometry assay to detect ascorbate at the single-cell level. Redox Biol. 2025 10; 86:103823.
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Le PN, Keysar SB, Miller B, Morton JJ, Chimed TS, Alzofon N, Nieto C, Davies KD, Thomas CM, Weaver AN, Jimeno A. Improved Methods for the Stable Generation of Human Papillomavirus-Driven Head and Neck Cancer Cell Lines. Mol Carcinog. 2025 Nov; 64(11):1813-1822.
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Salatino R, Franco M, Romero-Toledo A, Blomqvist EK, Wang Y, Tsuda S, Burke JM, Szentirmai O, Janiszewska M. Cell sorting based on single nucleotide variation enables characterization of mutation-dependent transcriptome and chromatin states. Nucleic Acids Res. 2025 Aug 11; 53(15).
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Ray S, Jacques S, Ettah U, Dai S, Gaikwad HK, Scheinman RI, Mallela KMG, Simberg D. Magnetic Nanoworm-Based Screening of Yeast Library for Anti-PEG Nanobodies. Mol Pharm. 2025 Aug 04; 22(8):4909-4918.
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Teng KWW, Khoo WH, Ho NCW, Yang SJ, Wilson DC, Chua E, Ho SWS. Diving Deep: Profiling Exhausted T Cells in the Tumor Microenvironment Using Spectral Flow Cytometry. Cytometry A. 2025 04; 107(4):271-280.
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Zhao Y, Brandon-Coatham M, Yazdanbakhsh M, Mykhailova O, William N, Osmani R, Kanias T, Acker JP. Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning. Sci Rep. 2025 Mar 05; 15(1):7735.
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Chen J, Ionita M, Feng Y, Lu Y, Orzechowski P, Garai S, Hassinger K, Bao J, Wen J, Duong-Tran D, Wagenaar J, McKeague ML, Painter MM, Mathew D, Pattekar A, Meyer NJ, Wherry EJ, Greenplate AR, Shen L. Automated cytometric gating with human-level performance using bivariate segmentation. Nat Commun. 2025 Feb 12; 16(1):1576.
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Knight V. Phospho-flow cytometry assays for diagnostic use - A discussion of assay utility and assay development and validation challenges. J Immunol Methods. 2025 02; 537:113818.
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