Spectral compensation for flow cytometry: visualization artifacts, limitations, and caveats.

By Mario Roederer. Cytometry, 2001

572 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/3a697aa7257c68cd5c5b1f5efd90e6f923e4540a

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Citations in the corpus

Flow cytometry controls, instrument setup, and the determination of positivity (2006, background): “While compensation can result in visual spread of negative populations in one or more compensated fluorochrome dimensions (2,3), the display is still easier to interpret than an uncompensated display.”
Flow cytometry: basic principles and applications (2017, background): “This process is named as color compensation, that also calculates how much interference (as a percent) a fluorochrome will have a channel that was not assigned specifically to measure it (Roederer, 2001).”
OMIP‐037: 16‐color panel to measure inhibitory receptor signatures from multiple human immune cell subsets (2017, methodology): “All reagents were initially titrated as single color stains, then tested in Fluorescence Minus One (FMO) combinations (42) to evaluate spillover and staining artifacts in the channel of interest emerging from secondary channels.”
Background fluorescence and spreading error are major contributors of variability in high‐dimensional flow cytometry data visualization by t‐distributed stochastic neighboring embedding (2018, background): “…of point 2 but also possibly caused by some sort of batch effect, as well as differences in background values (i.e., the biological negative fraction not containing ﬂ uorochrome-conjugated antibodies), and (4) SE generated by errors in the measurement of photons at red/far red wavelengths (15).”
Two physically, functionally, and developmentally distinct peritoneal macrophage subsets (2010, methodology): “1; Alexa700labeled anti-IgD (11-26); APCCy7-labeled anti-CD11b (M1/70); Pacific Blue– labeled anti-F4/80 (BM8) or Gr-1 (RB6-8C5) and biotin-labeled anti-CD11c (HL3).”
Commensal microbiota affects ischemic stroke outcome by regulating intestinal γδT cells (2016, unknown): “Isotype controls, single antibody-stained samples and Fluorescence Minus One controls were used to establish compensation and gating parameters 63 .”
Seventeen-colour flow cytometry: unravelling the immune system (2004, background): “However, even with computer-assisted compensation, inescapable measurement errors lead to a broadening of the distribution of the fluorescence of cells that have low or no fluorescence, particularly in the far-red channels (APC, Alexa Fluor 680 and Cy7APC”