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A gain and dynamic range independent index to quantify spillover spread to aid panel design in flow cytometry
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Abstract
In conventional flowcytometry one detector (primary) is dedicated for one fluorochrome. However, photons usually end up in other detectors too (fluorescence spillover). ‘Compensation’ is a process that corrects the spillover signal from all detectors except the primary detector. Post ‘compensation’, the photon counting error of spillover signals become evident as spreading of the data. The spreading induced by spillover impairs the ability to resolve stained cell population from the unstained one, potentially reducing or completely losing cell populations. For successful multi-color panel design, it is important to know the expected spillover to maximize the data resolution. The Spillover Spreading Matrix (SSM) can be used to estimate the spread, but the outcome is dependent on detector sensitivity. Simply, the same single stained sample produces different spillover spread values when detector(s) sensitivity is altered. Many researchers mistakenly use this artifact to “reduce” the spread by decreasing detector sensitivity. This can result in diminished capacity to resolve dimly expressing cell populations. Here, we introduce SQI (Spread Quantification Index), that can quantify the spillover spread independent of detector sensitivity and independent of dynamic range. This allows users to compare spillover spread between instruments having different types of detectors, which is not possible using SSM.
Title: A gain and dynamic range independent index to quantify spillover spread to aid panel design in flow cytometry
Description:
Abstract
In conventional flowcytometry one detector (primary) is dedicated for one fluorochrome.
However, photons usually end up in other detectors too (fluorescence spillover).
‘Compensation’ is a process that corrects the spillover signal from all detectors except the primary detector.
Post ‘compensation’, the photon counting error of spillover signals become evident as spreading of the data.
The spreading induced by spillover impairs the ability to resolve stained cell population from the unstained one, potentially reducing or completely losing cell populations.
For successful multi-color panel design, it is important to know the expected spillover to maximize the data resolution.
The Spillover Spreading Matrix (SSM) can be used to estimate the spread, but the outcome is dependent on detector sensitivity.
Simply, the same single stained sample produces different spillover spread values when detector(s) sensitivity is altered.
Many researchers mistakenly use this artifact to “reduce” the spread by decreasing detector sensitivity.
This can result in diminished capacity to resolve dimly expressing cell populations.
Here, we introduce SQI (Spread Quantification Index), that can quantify the spillover spread independent of detector sensitivity and independent of dynamic range.
This allows users to compare spillover spread between instruments having different types of detectors, which is not possible using SSM.
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