Research on nondestructive measurement of sea pearls using optical coherence tomography technique

Junqing, 董俊卿 Dong; Qinghui, 李青会 Li

doi:10.3788/irla201847.0417004

Cited by 2 publications

(1 citation statement)

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“…Among these elements, M00 is independent of the system's polarization characteristics and incident light, reflecting only the intensity attenuation of the optical system for the incident light, while the other 15 elements represent the birefringent properties of biological tissues. This PS-OCT technique accurately describes the local polarization characteristics and attenuation properties of the sample [16,17] . By observing the intensity contrast of the intensity element M00 in the Mueller matrix, we can examine the texture structure of pearl layers.…”

Section: Introductionmentioning

confidence: 99%

Polarization-sensitive OCT-based pearl feature detection

Cao,

Li,

et al. 2023

Third International Computing Imaging Conference (CITA 2023)

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In this study, a detection system based on Polarization-Sensitive Optical Coherence Tomography (PS-OCT) using Mueller Matrix Optical Coherence Tomography (MM-OCT) was developed. By employing PS-OCT technology, the system was able to fully detect all sixteen elements of the Mueller matrix. By comparing the intensity element M00 among the sixteen elements of the Mueller matrix, the texture structure of the pearl layers could be observed. This allowed for differentiation between freshwater and saltwater pearls, identification of genuine and fake pearls, detection of internal flaws in pearls, and differentiation between nucleated and non-nucleated pearls. The study also involved the labeling of connected regions in binary images, where pixels within the same connected region were assigned the same label. The labeled images were displayed to facilitate more intuitive qualitative analysis, and quantitative analysis was performed using gray-level co-occurrence matrices. Subsequently, pearl layer pixels were extracted from multiple angles in the images, and the thickness of the pearl layer was calculated using the extracted pixels and axial resolution. Finally, detection and classification of unknown pearls were conducted, yielding results consistent with the actual outcomes. The measured thickness results after sectioning matched the calculated results, providing evidence for the feasibility of the experimental method proposed in this study.

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Section: Introductionmentioning

confidence: 99%

Polarization-sensitive OCT-based pearl feature detection

Cao,

Li,

et al. 2023

Third International Computing Imaging Conference (CITA 2023)

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Optical coherence tomography with balanced signal strength across the depth for pearl inspection

et al. 2020

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Optical coherence tomography (OCT) relies on the reflection of light from structures in different layers to interferometrically reconstruct the volumetric image of the sample. However, light returned from multiple layers suffers from imbalanced attenuation owing to the optical path difference and inhomogeneous tissue absorption. We report an optimization algorithm to improve signal strength in deep tissue for swept-source (SS)-OCT imaging. This algorithm utilizes the attenuation coefficient of consecutive layers within the sample and combines them to compensate for the signal intensity loss from deep tissue. We stacked 170-µm thick cover slides as a standard sample for benchmark testing. The optimized OCT image provides a 30% increase in signal intensity in the deep structure compared with the conventional images. We applied this method for pearl inspection, whose layered structure demonstrates a great application for our optimized OCT imaging. In contrast to X-ray micro-CT scan and scanning electron microscope (SEM) imaging modalities, the optimized OCT imaging provides great potential for pearl quality inspection. The proposed improvement algorithm for SS-OCT could also be applied to diverse biomedical imaging scenarios, including label-free tissue imaging.

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Research on nondestructive measurement of sea pearls using optical coherence tomography technique

Cited by 2 publications

References 0 publications

Polarization-sensitive OCT-based pearl feature detection

Polarization-sensitive OCT-based pearl feature detection

Optical coherence tomography with balanced signal strength across the depth for pearl inspection

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