Multi-channel FourierNet for large-scale shift variant reconstruction

Qianwan Yang; Ruipeng Guo; Guorong Hu; Adelina Chau; Jamin Xie; Lei Tian

doi:10.1117/12.3001718

13 March 2024 Multi-channel FourierNet for large-scale shift variant reconstruction

Qianwan Yang, Ruipeng Guo, Guorong Hu, Adelina Chau, Jamin Xie, Lei Tian

Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC128570T (2024) https://doi.org/10.1117/12.3001718
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Traditional fluorescence microscopy with conventional optics suffers from the trade-off between the resolution, field-of-view (FOV) and miniaturization. Computational imaging techniques overcome these limitations by leveraging miniature optics and enabling strong multiplexing. However, the shift-variant degradation caused by miniaturized lenses poses computational and memory challenges. In this work, we developed a Multi-channel FourierNet that learns the global shift variant filters in the frequency domain without any prior knowledge, providing consistent performance on a large-scale FOV. Additionally, we validate the effectiveness of our network by visualizing the correspondence between the saliency map and the truncated PSFs from different viewpoints. We demonstrate the network fueled by simulation data can perform real-time reconstruction on biological samples. We believe this innovative approach holds great promise for advancing computational imaging techniques across diverse applications.

Conference Presentation

Citation Download Citation

Qianwan Yang, Ruipeng Guo, Guorong Hu, Adelina Chau, Jamin Xie, and Lei Tian "Multi-channel FourierNet for large-scale shift variant reconstruction", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570T (13 March 2024); https://doi.org/10.1117/12.3001718

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KEYWORDS

Blind deconvolution

Education and training

Point spread functions

Computational imaging

Data modeling

Miniaturization

Prior knowledge

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