A method for sample structure customization and experimental image generation

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.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1117/12.3039991
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

A method for sample structure customization and experimental image generation

Gan Xiang, Junle Qu, Heng Li, Bin Yu et al.
Image Processing Techniques and Applications
article

A method for sample structure customization and experimental image generation

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

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.

Shenzhen University (CN), Tsinghua University (CN)
Openalex Percentile: Top 78%
Image Processing Techniques and Applications
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