Prebiased peak extraction algorithm with linear error compensation for chromatic confocal microscopy

Chromatic confocal microscopy (CCM) suffers spectral peak localization errors due to nonlinear coupling between physical peak shifts and centroid estimates. These inaccuracies arise from discrete sampling by finite-sized pixels and non-ideal peak extraction, presenting inherent limitations in conventional methods (e.g., centroid algorithms). To overcome this, we propose a pre-biased peak extraction algorithm (PPEA) that realigns spectral peaks to a zero-reference position. This linearizes residual errors relative to true displacement, enabling closed-form analytical error compensation. Simulations confirm robustness for symmetric/asymmetric spectra. Experiments show 12-fold accuracy improvement: error reduced from 0.5 μm to 0.04 μm within a 1 mm range, demonstrating strong potential for precision measurements.

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Publication Details

Journal
Optics Express
Published
2025-08-14
DOI
https://doi.org/10.1364/oe.568393
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Prebiased peak extraction algorithm with linear error compensation for chromatic confocal microscopy

Feng Han, Kexin Liu, Zhiqiang Zhang, Weibo Wang et al.
Optics Express
Advanced Fluorescence Microscopy Techniques
article

Prebiased peak extraction algorithm with linear error compensation for chromatic confocal microscopy

Feng Han, Kexin Liu, Zhiqiang Zhang, Weibo Wang, Biwei Wu, Yuxiang Cai, Guangming Xia, Yuetong Chang, Shuxian Shang
article en

Abstract

Chromatic confocal microscopy (CCM) suffers spectral peak localization errors due to nonlinear coupling between physical peak shifts and centroid estimates. These inaccuracies arise from discrete sampling by finite-sized pixels and non-ideal peak extraction, presenting inherent limitations in conventional methods (e.g., centroid algorithms). To overcome this, we propose a pre-biased peak extraction algorithm (PPEA) that realigns spectral peaks to a zero-reference position. This linearizes residual errors relative to true displacement, enabling closed-form analytical error compensation. Simulations confirm robustness for symmetric/asymmetric spectra. Experiments show 12-fold accuracy improvement: error reduced from 0.5 μm to 0.04 μm within a 1 mm range, demonstrating strong potential for precision measurements.

Optics ExpressVol. 33(17)
Vehicle Control Technologies (United States) (US)
Key Research and Development Program of Heilongjiang, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Heilongjiang Province
Openalex Percentile: Top 84%
Advanced Fluorescence Microscopy Techniques
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