Effectiveness evaluation of fluorescent compensation in multicolor flow cytometry: A quantitative study

In fluorescence flow cytometry, spectral overlap among multiple fluorescent labels cannot be avoided, and thus detected fluorescent intensities need to be compensated. Although fluorescent compensation in flow cytometry has been widely used for many years, it still lacks quantitative evaluations to validate its effectiveness. Using a home-developed nine-color fluorescence flow cytometer, this study first obtains calibration curves by assaying gradient concentrations of nine different fluorochromes individually, with the fluorescent intensities of the highest concentrations of each fluorochrome being used to obtain a spillover matrix. Mixed fluorescent solutions are analyzed by flow cytometry in which the obtained fluorescent intensities are compensated by the spillover matrix, translated to specific concentrations based on calibration curve and compared with nominal values. Three mixed solutions of Brilliant Violet 650 and Brilliant Violet 711, of Alexa Fluor 488 and PE, and of Pacific Orange, Alexa Fluor 488, and PE are tested, with fluorescent compensation being observed to reduce excessive signals due to spectral overlap. Specifically, concentration deviations (before vs after compensation) in comparison with nominal values for Brilliant Violet 711 and Alexa Fluor 488 are quantified as 40.6% vs 14.9% and 6.7% vs 1.9%, respectively. The results presented here provide a quantitative reference for fluorescent compensation that can be used to effectively address the issue of spectral overlap in fluorescence flow cytometry.

Authors

Institutions

Publication Details

Journal
Nanotechnology and Precision Engineering
Published
2025-05-20
DOI
https://doi.org/10.1063/5.0253825
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effectiveness evaluation of fluorescent compensation in multicolor flow cytometry: A quantitative study

Xiaoye Huo, Chiyuan Gao, Jian Chen, Junbo Wang et al.
Nanotechnology and Precision Engineering
Microfluidic and Bio-sensing Technologies
article

Effectiveness evaluation of fluorescent compensation in multicolor flow cytometry: A quantitative study

Xiaoye Huo, Chiyuan Gao, Jian Chen, Junbo Wang, Long Fan
article en

Abstract

In fluorescence flow cytometry, spectral overlap among multiple fluorescent labels cannot be avoided, and thus detected fluorescent intensities need to be compensated. Although fluorescent compensation in flow cytometry has been widely used for many years, it still lacks quantitative evaluations to validate its effectiveness. Using a home-developed nine-color fluorescence flow cytometer, this study first obtains calibration curves by assaying gradient concentrations of nine different fluorochromes individually, with the fluorescent intensities of the highest concentrations of each fluorochrome being used to obtain a spillover matrix. Mixed fluorescent solutions are analyzed by flow cytometry in which the obtained fluorescent intensities are compensated by the spillover matrix, translated to specific concentrations based on calibration curve and compared with nominal values. Three mixed solutions of Brilliant Violet 650 and Brilliant Violet 711, of Alexa Fluor 488 and PE, and of Pacific Orange, Alexa Fluor 488, and PE are tested, with fluorescent compensation being observed to reduce excessive signals due to spectral overlap. Specifically, concentration deviations (before vs after compensation) in comparison with nominal values for Brilliant Violet 711 and Alexa Fluor 488 are quantified as 40.6% vs 14.9% and 6.7% vs 1.9%, respectively. The results presented here provide a quantitative reference for fluorescent compensation that can be used to effectively address the issue of spectral overlap in fluorescence flow cytometry.

Nanotechnology and Precision EngineeringVol. 8(4)
Chinese Academy of Sciences (CN), State Key Laboratory of Transducer Technology (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 90%
Microfluidic and Bio-sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.