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

Zhiqiang Zhang, Yuetong Chang, Guangming Xia

|September 23, 2025

Summary

This summary is machine-generated.

Chromatic confocal microscopy (CCM) has peak localization errors. A new pre-biased peak extraction algorithm (PPEA) significantly improves accuracy by realigning spectral peaks, reducing errors 12-fold for precision measurements.

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Area of Science:

Optics and Photonics
Metrology
Biomedical Imaging

Background:

Chromatic confocal microscopy (CCM) is susceptible to spectral peak localization errors.
Inaccuracies stem from nonlinear coupling, discrete sampling, and non-ideal peak extraction in conventional methods like centroid algorithms.

Purpose of the Study:

To develop a novel algorithm to overcome spectral peak localization errors in CCM.
To linearize residual errors and enable analytical error compensation for improved measurement precision.

Main Methods:

Proposed a pre-biased peak extraction algorithm (PPEA) to realign spectral peaks to a zero-reference position.
Linearized residual errors relative to true displacement for closed-form analytical error compensation.
Validated the algorithm using simulations for various spectra and experimental measurements.

Main Results:

The PPEA demonstrated robustness for both symmetric and asymmetric spectral peaks.
Achieved a 12-fold improvement in accuracy, reducing measurement error from 0.5 μm to 0.04 μm within a 1 mm range.
The method effectively compensates for inherent limitations of conventional CCM techniques.

Conclusions:

The pre-biased peak extraction algorithm (PPEA) significantly enhances the accuracy of chromatic confocal microscopy.
This advancement holds strong potential for high-precision metrology and biomedical imaging applications.
The proposed method offers a robust solution for spectral peak localization errors in CCM.