title: A stochastic model for cell debris in flow cytometry.
abstract: An important problem in analyzing flow cytometry DNA measurements, especially for tumor samples, is the presence of background noise, mainly resulting from cellular debris. Several models have been proposed for subtracting this contribution from DNA content histograms. In the present paper we propose a model for background debris distribution based on a specific mechanism for the DNA fragmentation process of the cell nucleus. In particular, we suggest that the fragmentation is more likely to occur in the sites which are closer to the end points of the DNA chain. This accounts for the observed higher frequency of small-sized fragments in experimental DNA distribution. The proposed model depends on two parameters describing the intensity and the shape of the background. It has been successfully validated against four series of experimental data of DNA distribution with increasing level of background.
authors.affiliation: Dip. di Informatica e Sistemistica, Università di Roma La Sapienza, Italy.
authors.forename: C
authors.initials: C
authors.lastname: Bruni
authors.forename: L
authors.initials: L
authors.lastname: Ferrante
authors.forename: G
authors.initials: G
authors.lastname: Koch
authors.forename: C
authors.initials: C
authors.lastname: Scoglio
authors.forename: G
authors.initials: G
authors.lastname: Starace
mesh_terms: D002458:Cell Fractionation; D003198:Computer Simulation; D004247:DNA / Q000032:analysis*; D005434:Flow Cytometry / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D013269:Stochastic Processes
chemical_list: D004247:DNA