title: HD Flow Cytometry: An Improved Way to Quantify Cellular Interactions with Nanoparticles.
abstract: 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.
authors.affiliation: Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria, 3052, Australia.
authors.forename: Laura I
authors.initials: LI
authors.lastname: Selby
authors.affiliation: Department of Chemistry, The University of Melbourne, Parkville, Victoria, 3010, Australia.
authors.forename: Nachnicha
authors.initials: N
authors.lastname: Kongkatigumjorn
authors.affiliation: Department of Chemistry, The University of Melbourne, Parkville, Victoria, 3010, Australia.
authors.forename: Georgina K
authors.initials: GK
authors.lastname: Such
authors.affiliation: Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria, 3052, Australia. angus.johnston@monash.edu.
authors.forename: Angus P R
authors.initials: AP
authors.lastname: Johnston
mesh_terms: D000465:Algorithms; D000818:Animals; D005434:Flow Cytometry / Q000295:instrumentation / Q000379:methods*; D005453:Fluorescence; D006801:Humans
keywords: cell interactions; deconvolution; flow cytometry; nanoparticles