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[Value of computer processing of data acquired by cytofluorometry for biological analyses]
G Merdrignac-Lenoan1, J P le Pichon, P Pellen
1Groupe Universitaire de Recherche en Immunologie Fondamentale et Appliquée, Centre Régional de Transfusion Sanguine, France.
Pathologie-Biologie
|December 1, 1987
Summary
This study details a new computer system for flow cytometry data analysis, enabling efficient processing of immunofluorescence and DNA data for accurate cell analysis. The system enhances complex signal distribution evaluation.
Area of Science:
- Biomedical Engineering
- Computational Biology
- Cell Biology
Context:
- Flow cytometry generates large datasets requiring computational analysis.
- Accurate and efficient processing is crucial for complex signal distributions.
- Traditional methods may lack the power for advanced data interpretation.
Purpose:
- To describe a computer-assisted system for flow cytometry data analysis.
- To present a configuration using an Ortho 50H flow cytometer and a Persona 1600 microcomputer.
- To showcase the system's capability in processing immunofluorescence and DNA analyses.
Summary:
- A microcomputer system was integrated with a flow cytometer to process cell analysis data.
- The system simultaneously processes three primary signals, yielding six parameters per cell.
- Programs developed in Turbo Pascal facilitate immediate or delayed data analysis, including cell selection based on two parameters.
Impact:
- Enables more accurate and efficient analysis of flow cytometry data.
- Provides a powerful tool for complex signal distribution evaluation in cell analysis.
- Facilitates advanced immunofluorescence and DNA analyses with enhanced data processing capabilities.