This study introduces a groundbreaking optical coherence tomography (OCT) imaging system dedicated for 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.
@article{arxiv.2405.09601,
title = {Fully Automated OCT-based Tissue Screening System},
author = {Shaohua Pi and Razieh Ganjee and Lingyun Wang and Riley K. Arbuckle and Chengcheng Zhao and Jose A Sahel and Bingjie Wang and Yuanyuan Chen},
journal= {arXiv preprint arXiv:2405.09601},
year = {2024}
}