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Flow Cytometry

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Updated: Jul 2, 2026

Multicolor Flow Cytometry-based Quantification of Mitochondria and Lysosomes in T Cells

Multicolor Flow Cytometry-based Quantification of Mitochondria and Lysosomes in T Cells

Published on: January 9, 2019

Dial-in flow cytometry data analysis.

Francis L Battye¹

¹The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.

Current Protocols in Cytometry

|September 5, 2008

Summary

This summary is machine-generated.

Large listmode data files are difficult to access remotely. A new Web servlet system extracts data arrays and transmits them efficiently, speeding up remote data analysis while maintaining local access flexibility.

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Area of Science:

Computer Science
Data Science
Network Engineering

Background:

Growing listmode data files generate significant network traffic, hindering remote access and analysis.
Limited modem transmission speeds make analyzing large datasets nearly impossible.

Purpose of the Study:

To present a novel solution for efficient remote access and analysis of large listmode data files.
To introduce a Web servlet-based system that optimizes data transmission over networks.

Main Methods:

Installation of a Web servlet at the central data storage facility.
The servlet extracts display arrays from data files and organizes network transmission.
A remote client program receives and displays the organized data.

Main Results:

The implemented system significantly accelerates access to remotely stored data.
Data transmission efficiency was demonstrated using two typical large data files.
The system successfully retains the flexibility of local data manipulation.

Conclusions:

The Web servlet approach provides an effective solution to challenges posed by large listmode data files.
This method enhances remote data analysis capabilities without compromising data accessibility or flexibility.