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Related Concept Videos

Flow Cytometry01:23

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.
In...
Flow Sheet01:17

Flow Sheet

Flowsheets are valuable tools in nursing documentation. They enable healthcare professionals to efficiently record and monitor various patient assessments and measurements in a consolidated format.
Here's a closer look at the examples of flowsheets commonly used by nurses:
Graphic Sheet Documentation:
Flow Table Test01:12

Flow Table Test

The flow table test is an established method used to assess the workability of concrete, particularly useful for evaluating highly flowable concrete mixes. This test employs an apparatus that consists of a wooden board topped with a steel plate, collectively weighing 35 pounds. The board is connected to a base via a hinge and measures 27.6 inches on each side.
Concrete is placed within a truncated cone mold that is 8 inches high with an 8-inch base diameter and a 5-inch top diameter. The...

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Updated: Jun 17, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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iFlow: A Graphical User Interface for Flow Cytometry Tools in Bioconductor.

Kyongryun Lee1, Florian Hahne, Deepayan Sarkar

  • 1Program in Computational Biology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N M2-B876, P.O. Box 19024, Seattle, WA 98109-1024, USA.

Advances in Bioinformatics
|January 6, 2010
PubMed
Summary
This summary is machine-generated.

Flow cytometry (FCM) generates large datasets, challenging computational tools. A new graphical interface, iFlow, simplifies FCM data analysis for researchers, integrating with existing Bioconductor software.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Medical Research Technology

Background:

  • Flow cytometry (FCM) is crucial for health and medical research, but high-throughput experiments generate massive data volumes.
  • Existing FCM computational analysis tools, often console-driven and R-based, require significant programming expertise.
  • This poses a barrier to entry for researchers not proficient in programming or the R language.

Purpose of the Study:

  • To develop an accessible software solution for flow cytometry data analysis.
  • To create a graphical user interface (GUI) that simplifies complex FCM analyses.
  • To build upon the existing Bioconductor framework for seamless integration and extensibility.

Main Methods:

  • Developed iFlow, an open-source, extensible graphical user interface (GUI).
  • iFlow is built on the Bioconductor software suite, leveraging its analytical capabilities.
  • The GUI provides menu-driven options and wizards for basic FCM data analysis.

Main Results:

  • iFlow enables basic flow cytometry data analyses through an intuitive graphical interface.
  • The software facilitates the use of statistical graphics and novel analytical methods for nonprogrammers.
  • The platform is designed for easy extension to incorporate future methodological advancements.

Conclusions:

  • iFlow effectively addresses the computational challenges posed by large FCM datasets.
  • It democratizes access to advanced flow cytometry analysis tools for a broader research community.
  • The extensible nature of iFlow ensures its continued relevance and utility in biomedical research.