PubMed HealthSearch

PubMed · 2675868

[Flow cytometry. Principles and methods for cell studies].

Abstract

Through flow cytometry cells are investigated by optical, electrical and electronic components. On a rate of several hundred cells per second, quantitative multiparametric cells studies are realized on a cell by cell basis. Cells in monodisperse suspension are drawn by a stream of fluid which aligns them before their interception by a beam of light, generally produced by Laser. The generated optical signals (diffused lights and emitted fluorescences), related to biological properties of the cells, are conveyed to photomultipliers which transform light energy into electric currents. The signals are quantified by electronic and processing components which can drive cell sorting. Flow cytometry is playing an increasingly significant role in the practice of the clinical laboratory in several areas i.e. oncology (DNA content measurement) or immunology (lymphocytes phenotyping).

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P Vago, J P Bureau. 1989. [Flow cytometry. Principles and methods for cell studies].. https://pubmed.ncbi.nlm.nih.gov/2675868/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Integration of a barcode reader with a commercial flow cytometer.

This report describes the application and installation of a barcode reader on a standard EPICS Elite flow cytometer. The barcode reader system eliminates keyboard entry of sample information on the cytometer. The system automates the transfer of sample information already present in our laboratory database to the cytometer at run time. The system uses a standard "off-the-shelf" bar code wand with a personal computer keyboard interface and requires no additional software at run time. No typing of sample information is required by the operator at any stage of normal sample operation at the cytometer. All operations are automatically coded into the cytometry software using the macro functions of the software. Tubes are inserted into the tube reader and sample information is transferred automatically into the cytometer. We have found that the system allows rapid and continuous operation of routine clinical and research samples. This automated data entry also reduces the possibility of data input errors.

Electronic Data Processing

Comparison of lymphocyte immunophenotypes obtained simultaneously from two different data acquisition and analysis systems on the same flow cytometer.

Immunophenotyping of different lymphocyte populations was carried out in parallel on 113 consecutively received specimens of human peripheral blood using 2 different data acquisition and analysis systems (EPICS C and 4Cyte-Acmecyte) on the same flow cytometer (EPICS C). The phenotypes analyzed were CD3+, CD4+, CD8+ CD56+ CD16+ CD3-, TCR-gamma delta+ CD8-, and TCR-gamma delta+ CD8+. Both HIV- and HIV+ specimens were used for this study, including some with CD4 levels as low as 2% of all lymphocytes. Despite differences in gating procedures and shapes of bitmap (rectilinear vs. "amorphous"), the 2 methods agreed to within 2% positive cells in 97% of the cases. Although some statistically significant biases in the methods were observed, these were small and not biologically important. We conclude that both methods of data acquisition and analysis, as employed by experienced operators on the EPICS C flow cytometer, gave essentially equivalent results for lymphocyte sub-populations in peripheral blood preparations.

Electronic Data Processing