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Embedded parallel Fourier ptychographic microscopy reconstruction system.

Guocheng Zhou, Shaohui Zhang, Yao Hu

|January 6, 2023

Summary

This summary is machine-generated.

Fourier ptychographic microscopy (FPM) achieves fast reconstruction by processing sub-regions in parallel. This computational imaging technique enhances speed for quantitative phase imaging applications.

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Area of Science:

Computational Imaging
Microscopy Techniques
Optics and Photonics

Background:

Fourier ptychographic microscopy (FPM) offers large space-bandwidth product and quantitative phase imaging.
FPM's performance relies on data redundancy and inverse problem algorithms.
Conventional FPM faces challenges with slow imaging speeds due to extensive data processing and complex algorithms.

Purpose of the Study:

To accelerate the reconstruction speed of Fourier ptychographic microscopy.
To develop a fast FPM reconstruction framework utilizing parallel computation.
To implement and validate the proposed framework with an embedded computing module.

Main Methods:

Proposed a three-level parallel computation framework for FPM reconstruction.
Implemented the framework using an embedded computing module.
Divided sample images into sub-regions for parallel digital refocusing and high-resolution reconstruction, followed by stitching.

Main Results:

Successfully accelerated FPM reconstruction speed.
Demonstrated the feasibility of the parallel FPM reconstruction framework.
Verified results with experimental data acquired from a custom-built system.

Conclusions:

The proposed parallel FPM reconstruction framework significantly enhances imaging speed.
This approach maintains the high-quality quantitative phase imaging capabilities of FPM.
The method is validated and applicable for practical FPM implementations.