High-resolution, large field-of-view, label-free computational imaging using all analytical reconstruction algorithm

Ruizhi Cao; Cheng Shen; Changhuei Yang

doi:10.1117/12.3000253

13 March 2024 High-resolution, large field-of-view, label-free computational imaging using all analytical reconstruction algorithm

Ruizhi Cao, Cheng Shen, Changhuei Yang

Author Affiliations +

Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC128570Y (2024) https://doi.org/10.1117/12.3000253
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

For imaging, an ideal lens should give images with high-resolution across a large field-of-view (FOV). However, designing and manufacturing such lens is almost impossible due to the intrinsic properties of real materials. Fourier ptychography microscopy (FPM), a computational imaging method, attracts board interests as it improves over imperfections of a real objective. With the aid of computation, FPM can provide aberration-free, high-resolution images over a large FOV. However, its iterative reconstruction is non-convex and may not converge to a real solution. Moreover, its aberration correction algorithm does not work well under large aberrations. In this talk, I will present a new imaging method, termed analytical multiangle illumination microscopy (AMIM), that performs complex field reconstructions using all analytical methods. By using critical-angle and darkfield measurements, AMIM extracts the aberration and reconstructs the complex field in a purely analytical way. We show that AMIM works well with extremely large aberrations and can reconstruct the complex field in a non-iterative way.

Conference Presentation

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Ruizhi Cao, Cheng Shen, and Changhuei Yang "High-resolution, large field-of-view, label-free computational imaging using all analytical reconstruction algorithm", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570Y (13 March 2024); https://doi.org/10.1117/12.3000253

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KEYWORDS

Reconstruction algorithms

Computational imaging

Aberration correction

Angle measurement

Fourier transforms

Image restoration

Imaging systems

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