Three-dimensional reconstruction of subsurface defects in fused silica optical components using cadmium selenide/zinc sulphide quantum dots

Xiao, Bo; Cui, Yana; Wang, Chunyang; Li, Tiantian

doi:10.1007/s12596-022-01025-5

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…In-depth research on the sub-surface structural damages of optical components and mastering the detection technology of SSD are of great value to improve the performance of optical components, prolong their service life, and guide the processing process of optical components and the removal of damages. At present, the detection techniques of SSD can be classified into destructive and non-destructive detection techniques according to whether they produce damage to the specimen, and some SSD prediction techniques [5][6] . Existing destructive detection methods can destroy the integrity of optical components and are prone to introduce new subsurface damages.…”

Section: Introductionmentioning

confidence: 99%

The study on subsurface damage detection technology of optical components based on high efficiency tagging of carbon quantum dots

Li,

Wang,

Liu

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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Optical elements are widely used in large optical systems such as laser inertial confinement fusion and astronomical telescopes, but subsurface damage (SSD) generated in the processing of optical components can cause degradation of their performance such as laser damage threshold and imaging quality. Accurate detection of SSDs is necessary to guide the processing of optical components and improve their performance. NDT technology for SSD inspection of optical components based on quantum dots (QDs) tagging breaks through the limitation of traditional NDT process requiring low roughness of optical surfaces and has a broad development prospect in the field of SSD inspection of optical components. Efficient tagging of SSD with QDs can be a key factor to improve the accuracy of SSD detections, but there is a lack of research on how to efficiently tag SSDs with QDs. To solve the above problems, this paper proposes a nondestructive detection technique for SSD of optical components based on high efficiency tagging of CQDs. Firstly, we analyze the characteristics of optical component processing and quantum dot-based detection technology, and determine the factors affecting the effect of QDs on the labeling of optical component SSDs. The effects of different factors on QDs-labeled SSDs were analyzed according to the distribution and fluorescence intensity of SSDs. The results showed that: (1) the changes of pressure and temperature during the process did not have significant effects on the fluorescence properties of CQDs; (2) the excitation wavelength, fluorescence emission peak, solution concentration, solution dose, excitation light power and the pH of the environment in which CQDs are located have certain effects on their fluorescence properties and SSD tagging results. This study provides a useful reference for the efficient labeling and accurate detection of optical components SSD.

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Section: Introductionmentioning

confidence: 99%

The study on subsurface damage detection technology of optical components based on high efficiency tagging of carbon quantum dots

Li,

Wang,

Liu

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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A review of subsurface damage detection methods for optical components

Cui

Wang

et al. 2023

AIP Advances

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Subsurface damage (SSD) induced during the processing of optical components, which are key parts of large optical systems, can deteriorate optical system performance or damage the complete system. To eliminate the SSD of optical components in subsequent processing, it must be accurately detected. This paper presents a review of the principle, characteristics, research status, and development trends of SSD detection methods for optical components. This review finds that destructive detection methods can damage the components and cannot detect SSD online, but they are reliable and accurate and characterized by facile principles, easy implementation, and inexpensive equipment. Consequently, such methods are widely used for the validation of non-destructive methods and quality control of components in industrial production. In comparison, non-destructive detection methods can detect SSD online without destroying the components, shorten the detection cycle, increase the overall production efficiency, and decrease the cost. Therefore, non-destructive detection methods have promising development prospects.

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Super-resolution reconstruction for subsurface defects of optical elements based on CdSe/ZnS quantum dots fluorescence dichroism

Li,

Wang,

et al. 2024

AIP Advances

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The subsurface defects (SSD) of optical elements have a significant impact on the service life and laser damage threshold of the inertial confinement nuclear fusion optical system. Due to the optical diffraction limit, fluorescence microscopy has limited image resolution for detecting SSD in optical elements, making it challenging to meet the requirements for precision detection. A super-resolution method is proposed in this paper for detecting SSD in optical elements based on the fluorescence polarization characteristics of CdSe/ZnS quantum dots fluorescence dichroism. By enhancing the imaging sparsity of adjacent fluorophores through a polarization modulated excitation laser and utilizing the fluorescence polarization modulation algorithm, the resolution is achieved beyond the optical diffraction limit. The results demonstrate that the proposed method in this paper can obtain super-resolution images of SSD in optical elements with at least a two-fold increase in lateral resolution. This approach effectively improves detection accuracy for SSD and holds significant guiding significance. In addition, it also has application value for assessing the quality of high-precision optical elements.

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Three-dimensional reconstruction of subsurface defects in fused silica optical components using cadmium selenide/zinc sulphide quantum dots

Cited by 5 publications

References 10 publications

The study on subsurface damage detection technology of optical components based on high efficiency tagging of carbon quantum dots

The study on subsurface damage detection technology of optical components based on high efficiency tagging of carbon quantum dots

A review of subsurface damage detection methods for optical components

Super-resolution reconstruction for subsurface defects of optical elements based on CdSe/ZnS quantum dots fluorescence dichroism

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