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HD Flow Cytometry: An Improved Way to Quantify Cellular Interactions with Nanoparticles
Author(s) -
Selby Laura I.,
Kongkatigumjorn Nachnicha,
Such Georgina K.,
Johnston Angus P. R.
Publication year - 2016
Publication title -
advanced healthcare materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.288
H-Index - 90
eISSN - 2192-2659
pISSN - 2192-2640
DOI - 10.1002/adhm.201600445
Subject(s) - flow cytometry , deconvolution , population , histogram , fluorescence , biological system , cytometry , nanoparticle , flow (mathematics) , materials science , nanomaterials , biomedical engineering , nanotechnology , biophysics , computer science , biology , microbiology and biotechnology , mathematics , artificial intelligence , algorithm , medicine , physics , optics , image (mathematics) , geometry , environmental health
Histogram deconvolution flow cytometry enables improved quantification of nanomaterial–cell interactions. The algorithm identifies the positive cells in highly overlapped populations and calculates the fluorescence intensity of the positive population. This technique performs better than commercially available methods with the additional benefit of visualizing the output.