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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

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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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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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Cyclone: an accessible pipeline to analyze, evaluate and optimize multiparametric cytometry data.

Ravi K Patel, Rebecca G Jaszczak, Im Kwok

    Biorxiv : the Preprint Server for Biology
    |March 22, 2023
    PubMed
    Summary

    Cyclone is a new computational pipeline that simplifies the analysis of complex single-cell data. This tool optimizes clustering and visualization for cytometry data, aiding immunology research and discovery.

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    Area of Science:

    • Immunology
    • Computational Biology
    • Bioinformatics

    Background:

    • High-dimensional single-cell technologies are crucial for immunology research.
    • Analyzing cytometry data requires computationally intensive clustering and dimensionality reduction.
    • Optimizing and evaluating these analyses presents significant challenges.

    Conclusions:

    • Cyclone is a versatile and accessible pipeline for cytometry data analysis.
    • It streamlines the performance, optimization, and evaluation of clustering.
    • The tool supports immunological research and facilitates biological discovery.