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Updated: Mar 22, 2026

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Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
Published on: August 22, 2019
8.5K
A symmetrical subtraction combined with interpolated values for eliminating scattering from fluorescence EEM data
Jing Xu1, Xiaofei Liu2, Yutian Wang1
1Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China.
Summary
This study compares nine scattering elimination methods for fluorescence emission-excitation matrix data. Combining results from multiple methods improves analyte concentration prediction accuracy.
Area of Science:
- Analytical Chemistry
- Chemometrics
Background:
- Fluorescence emission-excitation matrices (EEMs) are crucial for analyzing complex mixtures.
- Scattering artifacts in EEMs significantly impact the accuracy of quantitative analysis using parallel factor analysis (PARFACS).
- Existing scattering correction methods have limitations, necessitating improved approaches.
Purpose of the Study:
- To evaluate and compare nine different scattering elimination methods for EEM data.
- To investigate the effectiveness of combining scattering correction methods and their results.
- To enhance the accuracy of analyte quantification using PARFACS.
Main Methods:
- Application of nine distinct scattering correction techniques to EEM data.
- Implementation of parallel factor analysis (PARFACS) for data analysis.
- Comparative assessment of individual and combined scattering correction strategies.
Main Results:
- Scattering significantly interferes with PARFACS-based analyte quantification.
- Combining results from multiple scattering correction methods yields superior concentration predictions compared to individual methods.
- The proposed combination strategy demonstrated improved accuracy across all analyzed components.
Conclusions:
- A combined approach to scattering elimination in EEMs is more effective than single methods.
- Improved scattering correction is vital for accurate PARFACS-based quantitative analysis.
- This study provides a robust strategy for enhancing the reliability of EEM data analysis.
Keywords:
CombinationEliminating scatteringInterpolated valuesParallel factor analysisSymmetrical subtractionMore Related Videos
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