Abstract：
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.
摘要：
这项研究介绍了一种创新的光学相干断层扫描（OCT）成像系统，专用于使用离体组织培养的高通量筛选应用。利用OCT的非侵入性，高分辨率功能，该系统配备了定制设计的机动平台和自动组织检测能力，跨样品的连续成像。基于Transformer的深度学习分割算法进一步确保健壮、一致,和符合筛选测定标准的有效读数。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验证，该系统提供了强大的，快速,可靠,没有偏见,以及组织对治疗反应的全面读数。这种基于OCT的全自动系统标志着组织筛查的重大进步，承诺改变药物发现，以及其他相关研究领域。
