Prebiased peak extraction algorithm with linear error compensation for chromatic confocal microscopy
Year: 2025
Type: article
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.
Source: Optics Express
DOI: 10.1364/oe.568393
Authors: Zhiqiang Zhang, Yuetong Chang, Guangming Xia, Shuxian Shang, Han Feng, Yuxiang Cai, Kexin Liu, Biwei Wu, Weibo Wang
Institution: Ministry of Industry and Information Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,270
OpenAlex ID: W4413473113
