title: New tools in cytometry.
abstract: Cytometry aims to analyze cells, of any type, using dedicated instruments. The quantitative aspect makes flow cytometry (FCM) a good complementary tool for morphology. Most of the identification tools are based on immunostaining of cell structure details and more and more tools are available in terms of specificities and labels. FCM is under exponential development thanks to technical, immunological and data analysis progresses. Actual generations are now routinely using 6 to 10 simultaneous immuno-labeling on 20 to 100,000 cells, at high speed and short sample preparation and can easily detect rare events at frequency below 10-4cells. Data interpretation is complex and requires expertise. Mathematical tools are available to support analysis and classification of cells based. Cells from tissues can also be analyzed by FCM after mechanical and or enzymatic separation, but in situ cells can also be analyzed with the help of cytometry. Very new instruments bring spectral analysis, image in flow and mass spectrometry. Medical applications are very broad, notably in hemopathies, immunology, solid tumors, but also microbiology, toxicology, drug discovery, food and environmental industry. But, the limit of FCM is its dependence on operator from sample preparation, instrument settings up to data analysis and a strong effort is now under progress for standardization and constitution of international data bank for references and education.
authors.affiliation: Immunology Laboratory, CNRS, UMR5307, Laboratoire Georges-Friedel (LGF), Biology-Pathology Department, University Hospital, CHU de Saint-Étienne, 42055 Saint-Étienne cedex 2, France.
authors.forename: A-E
authors.initials: AE
authors.lastname: Depince-Berger
authors.affiliation: Haematology Laboratory; Biology-Pathology Department, University Hospital, 42055 Saint-Étienne cedex 2, France.
authors.forename: C
authors.initials: C
authors.lastname: Aanei
authors.affiliation: Haematology Laboratory, General hospital, CS 80511, 42328 Roanne cedex, France.
authors.forename: C
authors.initials: C
authors.lastname: Iobagiu
authors.affiliation: Immunology Laboratory, CNRS, UMR5307, Laboratoire Georges-Friedel (LGF), Biology-Pathology Department, University Hospital, CHU de Saint-Étienne, 42055 Saint-Étienne cedex 2, France.
authors.forename: M
authors.initials: M
authors.lastname: Jeraiby
authors.affiliation: Immunology Laboratory, CNRS, UMR5307, Laboratoire Georges-Friedel (LGF), Biology-Pathology Department, University Hospital, CHU de Saint-Étienne, 42055 Saint-Étienne cedex 2, France. Electronic address: claude.lambert@chu-st-etienne.fr.
authors.forename: C
authors.initials: C
authors.lastname: Lambert
mesh_terms: D003627:Data Interpretation, Statistical; D055808:Drug Discovery / Q000295:instrumentation; D005434:Flow Cytometry / Q000295:instrumentation* / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D012680:Sensitivity and Specificity
keywords: Analyse cellulaire quantitative; Cell analysis; Cytométrie en flux; Flow cytometry; New technology; Nouvelles technologies; Quantitative cytometry