A method for sample structure customization and experimental image generation

Yihong Ji; Danni Chen; Hanzhe Wu; Gan Xiang; Heng Li; Bin Yu; Junle Qu

doi:10.1117/12.3039991

16 August 2024 A method for sample structure customization and experimental image generation

Yihong Ji, Danni Chen, Hanzhe Wu, Gan Xiang, Heng Li, Bin Yu, Junle Qu

Proceedings Volume 13231, 4th International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2024); 132312J (2024) https://doi.org/10.1117/12.3039991
Event: 4th International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2024), 2024, Chongqing, China

Abstract

New super-resolution optical imaging methods are emerging, but there are still deficiencies in the experiments to verify these methods. The problem is that when we need to image and verify experimental samples, we do not know the Ground Truth of the samples. Therefore, we propose a method to generate experimental samples with known Ground Truth. For imaging optical methods, we introduce a super-resolution nanoprobe that can scan in two dimensions, and in the detection optical path of the actual wide-field experiment, we modify the point spread function of the system to a single helix point spread function. By using a series of single helix point spread function samples collected from the wide-field imaging experiment, combined with the scanning of the optical needle, we finally generate images scanned by the optical needle using this generation method. These images are composed of single helix point spread functions, and their Ground Truth is known. Therefore, it is proved that using our method to generate images of some samples captured by imaging systems with known Ground Truth is a feasible scheme for imaging technology verification.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yihong Ji, Danni Chen, Hanzhe Wu, Gan Xiang, Heng Li, Bin Yu, and Junle Qu "A method for sample structure customization and experimental image generation", Proc. SPIE 13231, 4th International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2024), 132312J (16 August 2024); https://doi.org/10.1117/12.3039991

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