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[Baseline correction of Raman spectrum based on piecewise linear fitting].
Zhao-Jun Qin1, Zhan-Hua Tao, Jun-Xian Liu
1College of Physics Sciences & Technology, Guangxi Normal University, Guilin 541004, China. qinzhaojun10@gmail.com
Baseline drifts in Raman spectra are common. A new piecewise linear fitting method effectively corrects these shifts, improving data accuracy for analysis of biological samples like cells and beads.
Area of Science:
- Spectroscopy
- Biophysics
- Data Analysis
Context:
- Baseline drift is a common artifact in Raman spectroscopy measurements.
- Accurate baseline correction is crucial for reliable data preprocessing and analysis.
- Existing polynomial fitting methods have limitations in correcting complex baseline drifts.
Purpose:
- To address the limitations of traditional polynomial fitting for Raman spectra baseline correction.
- To propose and validate a modified piecewise linear fitting method for automated baseline elimination.
- To enhance the accuracy of Raman spectral data for subsequent analysis.
Summary:
- This study introduces a modified piecewise linear fitting method to automatically correct baseline drifts in Raman spectra.
- The method was tested on Raman spectra of polystyrene beads, red blood cells, and yeast cells acquired using laser tweezers Raman spectroscopy.
- Results show that piecewise linear fitting effectively corrects baseline shifts, outperforming traditional methods.
Impact:
- Provides a feasible and automated method for Raman spectrum baseline correction.
- Improves the accuracy of spectral data, enabling more reliable downstream analysis.
- Enhances the utility of Raman spectroscopy in various scientific applications, particularly in biological and material sciences.
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