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Flow Cytometry01:23

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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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Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
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Related Experiment Video

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Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells
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GateFinder: projection-based gating strategy optimization for flow and mass cytometry.

Nima Aghaeepour1,2, Erin F Simonds3, David J H F Knapp4

  • 1Baxter Laboratory in Stem Cell Biology.

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|June 1, 2018
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Summary

GateFinder simplifies complex cell population identification using high-dimensional data. This algorithm uses simple, two-marker gates for efficient cell enrichment and biomarker discovery.

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Area of Science:

  • Immunology
  • Computational Biology
  • Bioinformatics

Background:

  • High-parameter single-cell technologies enable discovery of novel cell populations.
  • Analyzing and validating these populations with lower-parameter methods is challenging.

Purpose of the Study:

  • To present GateFinder, an algorithm for enriching high-dimensional cell types.
  • To demonstrate simplified enrichment strategies for efficient assays and biomarker discovery.

Main Methods:

  • GateFinder utilizes simple, stepwise polygon gates requiring only two markers at a time.
  • The algorithm is implemented as a free and open-source package for BioConductor.

Main Results:

  • GateFinder successfully enriches high-dimensional cell types.
  • Case studies illustrate simplified enrichment strategies for complex cell types.
  • The approach facilitates efficient assays, novel biomarker identification, and biological clarification.

Conclusions:

  • GateFinder offers an efficient method for analyzing and validating cell populations identified by high-parameter technologies.
  • The algorithm aids in uncovering novel biomarkers and understanding complex cellular biology.