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Fourier Ptychography Microscopy Based on Super-Resolution Adversarial Network

Laser and Optoelectronics Progress, ISSN: 1006-4125, Vol: 60, Issue: 20
2023
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Article Description

Fourier ptychography microscopy (FPM) is limited by hardware and algorithm, and its overall performance needs to be improved. To address the issues of slow imaging speed and low imaging quality of traditional FPM technology, the FPM image reconstruction approach integrated with depth learning has been widely explored. Herein, based on this, a superresolution countermeasure generation networkbased FPM model is proposed. Furthermore, global feature fusion is obtained by adding dense block connections using the original network, and a weighted loss function is used to enhance the quality of image reconstruction. The reconstruction results of the resolution plate image demonstrate that the proposed depth learning method has a better reconstruction effect and faster reconstruction speed than the conventional method.

Bibliographic Details

范滇元 范滇元; 王一 Wang Yi; 魏晓雨 Wei Xiaoyu; 刘保辉 Liu Baohui; 苏皓 Su Hao

Shanghai Institute of Optics and Fine Mechanics

Physics and Astronomy; Engineering

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