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Fast and robust Fourier ptychographic microscopy with position misalignment correction.

Zicong Luo¹, Ruofei Wu¹, Hanbao Chen¹

¹Foshan University, School of Physics and Optoelectronic Engineering, Foshan, China.

Journal of Biomedical Optics

|December 11, 2023

Summary

This summary is machine-generated.

This study introduces an improved algorithm for Fourier ptychographic microscopy (FPM) to correct LED array misalignment. The new method enhances reconstruction efficiency and robustness, crucial for high-resolution imaging.

Keywords:

Fourier ptychographic microscopy LED position misalignment correction phase retrieval

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Area of Science:

Computational imaging
Optical microscopy
Image reconstruction

Background:

Fourier ptychographic microscopy (FPM) enables simultaneous wide-field, high-resolution quantitative phase imaging.
Accurate LED array positioning is critical for FPM image quality, but misalignment poses a significant challenge.
Existing LED position correction algorithms in FPM require improvements in efficiency and robustness.

Purpose of the Study:

To develop an improved position misalignment correction method for LED arrays in FPM.
To enhance the reconstruction efficiency and robustness of FPM systems facing LED position errors.

Main Methods:

Proposed an adaptive annealing-based correction (AA-C) algorithm for LED position misalignment.
Implemented an improved phase recovery strategy with an optimized spectrum function update, incorporating an adaptive control factor.
Utilized simulated annealing (SA) principles for position correction.

Main Results:

The AA-C algorithm demonstrated effectiveness and robustness in correcting LED array position misalignment in FPM.
Achieved significant improvements in convergence speed: 21.2% over SC-FPM and 54.9% over PC-FPM.
Experimental validation confirmed the proposed method's performance.

Conclusions:

The developed AA-C algorithm effectively addresses LED array misalignment in FPM.
The method reduces system requirements for LED array accuracy and enhances overall robustness.
Improved reconstruction efficiency contributes to more practical FPM applications.