Opt Lett. 2024 Aug 15;49(16):4481-4484. doi: 10.1364/OL.530281.
This study introduces an innovative optical coherence tomography (OCT) imaging system dedicated to high-throughput screening applications using ex vivo tissue culture. Leveraging OCT's non-invasive, high-resolution capabilities, the system is equipped with a custom-designed motorized platform and tissue detection ability for automated, successive imaging across samples. Transformer-based deep-learning segmentation algorithms further ensure robust, consistent, and efficient readouts meeting the standards for screening assays. Validated using retinal explant cultures from a mouse model of retinal degeneration, the system provides robust, rapid, reliable, unbiased, and comprehensive readouts of tissue response to treatments. This fully automated OCT-based system marks a significant advancement in tissue screening, promising to transform drug discovery, as well as other relevant research fields.
本研究介绍了一种创新的光学相干断层扫描(OCT)成像系统,专门用于使用离体组织培养进行高通量筛选应用。该系统利用 OCT 的非侵入性、高分辨率功能,配备了定制设计的自动化平台和组织检测能力,可实现样本的自动、连续成像。基于变压器的深度学习分割算法进一步确保了稳健、一致和高效的读数,符合筛选测定的标准。该系统使用来自视网膜变性小鼠模型的视网膜外植体培养物进行了验证,可提供对组织对治疗反应的稳健、快速、可靠、无偏和全面的读数。这种完全自动化的基于 OCT 的系统标志着组织筛选的重大进展,有望改变药物发现以及其他相关研究领域。