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Determination of Lipid Raft Partitioning of Fluorescently-tagged Probes in Living Cells by Fluorescence Correlation Spectroscopy (FCS)

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Published on: April 6, 2012

FCS 3.1 Implementation guidance.

Chris Bray¹, Josef Spidlen, Ryan R Brinkman

¹Verity Software House, Topsham, Maine, USA.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology

|January 27, 2012

Summary

This summary is machine-generated.

The Flow Cytometry Standard (FCS) file format, essential for flow cytometry data, has faced implementation challenges. This note provides guidance on FCS 3.1 to ensure compatibility and prevent issues with spillover and display keywords.

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Determination of Lipid Raft Partitioning of Fluorescently-tagged Probes in Living Cells by Fluorescence Correlation Spectroscopy (FCS)

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IP-FCM: Immunoprecipitation Detected by Flow Cytometry

IP-FCM: Immunoprecipitation Detected by Flow Cytometry

Published on: December 2, 2010

Area of Science:

Biotechnology
Computational Biology
Data Science

Background:

The Flow Cytometry Standard (FCS) format, established in 1984, is the universal standard for flow cytometry data.
Updates to FCS have occurred over time to align with advancements in flow cytometry and computing.
Inconsistent data storage implementations within the FCS format have caused difficulties for instrument vendors and software developers.

Purpose of the Study:

To provide clear implementation guidance and examples for the latest FCS 3.1 standard.
To address and resolve compatibility issues related to FCS spillover and preferred display keywords.

Main Methods:

Analysis of the FCS 3.1 file format specifications.
Development of implementation examples for key features.
Review of common implementation challenges and discussion points among developers.

Main Results:

Detailed guidance on implementing FCS 3.1, focusing on spillover and display keywords.
Examples illustrating correct data storage and interpretation within the FCS 3.1 standard.
Prevention of potential compatibility issues arising from varied implementations.

Conclusions:

Standardized implementation of FCS 3.1 is crucial for ensuring data integrity and interoperability in flow cytometry.
This technical note serves as a valuable resource for vendors and developers to avoid common pitfalls.
Adherence to the provided guidance will enhance the reliability of flow cytometry data analysis across different platforms.