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Setting a Successful Sorting for Extracellular Vesicle Isolation
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Image-Enabled Cell Sorting Using the BD CellView Technology.

Malte S Paulsen1

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This summary is machine-generated.

Image-enabled cell sorting offers advanced single-cell analysis, detecting phenotypes like Golgi fragmentation missed by conventional flow cytometry. This technology expands the single-cell toolbox for biological research.

Keywords:
Chemically induced Golgi fragmentationFlow cytometryHigh-speed cell sortingImage-enabled cell sortingOn the fly image analysis parameters

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Area of Science:

  • Cell Biology
  • Biotechnology
  • Analytical Chemistry

Background:

  • The BD CellView technology enables image-enabled, high-speed cell sorting.
  • Previous work established the foundation for this advanced cell sorting method.

Purpose of the Study:

  • To provide a technical summary and implementation guidance for CellView-based image cell sorting.
  • To demonstrate the utility of image-enabled cell sorting using chemically induced Golgi fragmentation in HeLa cells.

Main Methods:

  • Utilized an image-enabled cell sorter based on BD CellView technology.
  • Applied the instrument to analyze Golgi apparatus fragmentation in HeLa cells.
  • Compared image cytometry with conventional flow cytometry for phenotype detection.

Main Results:

  • Chemically induced Golgi fragmentation was clearly visualized and sorted using image-enabled cell sorting.
  • This specific phenotype is undetectable by conventional flow cytometry.
  • The experiment served as a system assurance for image-based cell sorters.

Conclusions:

  • Image-enabled cell sorting significantly expands the single-cell analysis toolbox.
  • This technology is crucial for identifying subtle cellular phenotypes.
  • The described method provides a standard for validating image-based cell sorters.