Javascript must be enabled to continue!
A gain and dynamic range independent index to quantify spillover spread to aid panel design in flow cytometry
View through CrossRef
AbstractIn 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.
Cold Spring Harbor Laboratory
Title: A gain and dynamic range independent index to quantify spillover spread to aid panel design in flow cytometry
Description:
AbstractIn 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.
Related Results
ANALISIS SPILLOVER TERHADAP PASAR EKUITAS NEGARA BERKEMBANG DAN NEGARA MAJU PERIODE 2003-2011
ANALISIS SPILLOVER TERHADAP PASAR EKUITAS NEGARA BERKEMBANG DAN NEGARA MAJU PERIODE 2003-2011
Abstract
This study analyzes spillover effect which occurred in emerging and advanced economies, resulting from the US financial crisis and Greece sovereign debt crisis, coverin...
Multiphase Flow Metering:An Evaluation of Discharge Coefficients
Multiphase Flow Metering:An Evaluation of Discharge Coefficients
Abstract
The orifice discharge coefficient (CD) is the constant required to correct theoretical flow rate to actual flow rate. It is known that single phase orifi...
Determinants of Cerebrovascular Reserve in Patients with Significant Carotid Stenosis
Determinants of Cerebrovascular Reserve in Patients with Significant Carotid Stenosis
AbstractIntroductionIn patients with 70% to 99% diameter carotid artery stenosis cerebral blood flow reserve may be protective of future ischemic cerebral events. Reserve cerebral ...
Study on the volatility spillover effect and nonlinear dynamic evolution mechanism of economic policy uncertainty and asset prices--an analysis of futures prices of oil and grease agricultural products based on the VAR-BEKK-GARCH-VS model
Study on the volatility spillover effect and nonlinear dynamic evolution mechanism of economic policy uncertainty and asset prices--an analysis of futures prices of oil and grease agricultural products based on the VAR-BEKK-GARCH-VS model
Abstract
In recent years, the uncertainty of the domestic and foreign economic environment on China's futures and financial markets is increasingly significant, this paper ...
Promoting Spillover: How Past Behaviors Increase Environmental Intentions by Cueing Self-Perceptions
Promoting Spillover: How Past Behaviors Increase Environmental Intentions by Cueing Self-Perceptions
Behavioral spillover theory has potential for promoting meaningful behavior change. Spillover occurs when engagement in environmental behaviors affects the adoption of other enviro...
Characterization of Oil-Water Two-phase Flow Patterns in Vertical Upward Flow Pipes Based on Fractal and Chaotic Time Series Analysis
Characterization of Oil-Water Two-phase Flow Patterns in Vertical Upward Flow Pipes Based on Fractal and Chaotic Time Series Analysis
Abstract
Characterization of oil-water two-phase flow patterns in vertical upward oil-water two-phase flow having an inner diameter 18mm are elucidated based on f...
Pressure Analysis of DST Flow Period Or Slug Flow For Horizontal Wells In Homogeneous Reservoir
Pressure Analysis of DST Flow Period Or Slug Flow For Horizontal Wells In Homogeneous Reservoir
Abstract
By the transient pressure for horizontal well with constant flow rate and Duhamel's principle, this paper presents the method to calculate the transient ...

