The technique of tagging lapping and polishing slurries with fluorescent material is a promising subsurface damage (SSD) detection method for detecting SSD of optical component and perceiving its formation. However, currently only CdSe/ZnS QDs, CdSSe/ZnS QDs and Rhodamine 6G (R6G) were used to detect SSD, the feasibility of other types of QDs for SSD detection is not been analyzed in detail. And compared with QDs, R6G have a lower fluorescence intensity and is prone to photobleaching. Therefore, in this paper, we not only investigated the feasibility of various types of QDs for SSD detection theoretically and experimentally, but also used the anti-fluorescence quenching agent to enhance the fluorescence of R6G solution, and further studied the influence of anti-fluorescence quenching agent on the fluorescence of SSD tagged by R6G. It is found that (1) no matter how excitation intensity changes, the InP/ZnS QDs, CuInS2/ZnS QDs, R6G, R6G containing anti-fluorescence quenching agent and C QDs can be used to detect SSD; (2)CdSe/ZnS QDs can be used to detect SSD when the excitation intensity is higher than 33 mW; (3)Si QDs, Perovskite QDs, CdSe QDs, and InP QDs can’t be used to detect SSD; (4) The influence of anti-fluorescence quenching agent on the fluorescence of R6G in SSD is related to excitation intensity. This study lays a foundation for detecting the distribution and depth of SSD and perceiving the formation mechanism of SSD in brittle optical materials.
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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