High-speed low-cost line-field spectral-domain optical coherence tomography for industrial applications
Yang, Xingyu, Zhang, Zijian, Li, Xinhua, Lin, Hungyen, Lawman, Samuel, Stoyanov, Stoyan ORCID: https://orcid.org/0000-0001-6091-1226, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403, Hu, Yihua, Shen, Yaochun and Zheng, Yalin (2024) High-speed low-cost line-field spectral-domain optical coherence tomography for industrial applications. Optics and Lasers in Engineering, 184 (PART 1):108631. ISSN 0143-8166 (Print), 1873-0302 (Online) (doi:10.1016/j.optlaseng.2024.108631)
Preview |
PDF (AAM)
48264 STOYANOV_High-speed_low-cost_line-field_spectral-domain_optical_coherence_tomography_for_industrial_applications_(AAM)_2024.pdf - Accepted Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
The applications of Optical Coherence Tomography (OCT) systems have been extensively explored in clinical settings and have attracted growing interest in other fields. Factors such as speed and cost are often prioritized over high resolution and power efficiency in industrial applications. Modern OCT systems typically operate at speeds between 20k-70k A-scans/s and are priced at least $50k. We report a line-field OCT with a high imaging speed of 430k A-scans/s, by operating a 2D camera in 8-bit mode, at a cost of $3.2k. The reported OCT system provides an axial resolution of 9 μm in air and achieves a maximum on-axis signal-to-noise ratio and sensitivity of 68.8 dB and 88.8 dB, respectively. We demonstrate the practical use of the system by measuring, visualizing, and segmenting samples of Printed Circuit Boards, pharmaceutical tablets, and pea seeds.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | optical coherence tomography, low-cost, non-destructive evaluation, 3D imaging, high-speed, simulation |
Subjects: | H Social Sciences > HD Industries. Land use. Labor Q Science > Q Science (General) T Technology > T Technology (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
Related URLs: | |
Last Modified: | 09 Oct 2024 16:06 |
URI: | http://gala.gre.ac.uk/id/eprint/48264 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year