Paper
27 March 2022 Subsurface damage reconstruction technology of fused silica based on CdSe/ZnS quantum dots three-dimensional reconstruction
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Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121699D (2022) https://doi.org/10.1117/12.2625213
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China
Abstract
This paper proposes a CdSe/ZnS quantum dot-based reconstruction technique for fused silica subsurface damage to obtain accurate information on subsurface damage, since the current fused silica subsurface damage reconstruction detection method cannot accurately obtain information on the depth and distribution of subsurface damage and cannot make a more accurate assessment of the quality of fused silica optical elements. The technique uses CdSe/ZnS quantum dots to enhance the fluorescence at the subsurface damage of fused silica, and uses the Marching Cubes (MC) algorithm to realize the 3D reconstruction of subsurface damage of fused silica by analyzing the characteristics of the fluorescence section images of subsurface damage of fused silica acquired by fluorescence confocal microscopy, which solves the problem of incomplete acquisition of subsurface damage information by the 3D reconstruction technique of subsurface damage. The problem of incomplete information acquisition of subsurface damage by subsurface damage 3D reconstruction technique is solved. By comparing the 3D reconstruction results of fluorescence slices with and without the addition of quantum dots, it was verified that the addition of CdSe/ZnS quantum dots could obtain more subsurface damage information and achieve a more accurate assessment of the quality of fused silica elements.
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Tiantian Li, Chunyang Wang, Xuelian Liu, Yana Cui, and Rongting Gao "Subsurface damage reconstruction technology of fused silica based on CdSe/ZnS quantum dots three-dimensional reconstruction", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121699D (27 March 2022); https://doi.org/10.1117/12.2625213
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KEYWORDS
Quantum dots

Luminescence

Reconstruction algorithms

Silica

Fused quartz

3D modeling

3D image processing

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