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Related Experiment Video

Updated: Jul 31, 2025

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

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Published on: July 2, 2018

Undersampled Fourier ptychography for reflective-based long range imaging.

Zhiming Tian, Ming Zhao, Sen Wang

|May 9, 2023

Summary

This summary is machine-generated.

Fourier ptychography (FP) enables high-resolution, long-range imaging. This study introduces a novel method using gradient descent for FP phase retrieval with undersampled data, achieving high-fidelity reconstructions with less data.

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Last Updated: Jul 31, 2025

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

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Published on: July 2, 2018

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Published on: July 21, 2018

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Area of Science:

Optics and Photonics
Computational Imaging
Image Reconstruction

Background:

Fourier ptychography (FP) is a powerful imaging technique.
Current FP methods often require extensive data acquisition.
Long-range and high-resolution imaging present unique challenges.

Purpose of the Study:

To develop a novel method for Fourier ptychography (FP) phase retrieval using undersampled data.
To enable meter-scale reflective imaging with reduced data requirements.
To improve the efficiency of FP reconstructions.

Main Methods:

Proposed a novel cost function for FP phase retrieval.
Designed a new optimization algorithm based on gradient descent.
Performed high-fidelity reconstruction with a sampling parameter less than one.

Main Results:

Successfully reconstructed targets using significantly undersampled data.
Achieved high-fidelity imaging comparable to state-of-the-art methods.
Demonstrated reduced data acquisition needs for meter-scale FP imaging.

Conclusions:

The proposed gradient descent-based FP method effectively reconstructs images from undersampled data.
This technique offers a more efficient approach to long-range, high-resolution imaging.
Reduced data requirements make FP more practical for large-scale applications.