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Fully Automated OCT-based Tissue Screening System

Authors :
Pi, Shaohua
Ganjee, Razieh
Wang, Lingyun
Arbuckle, Riley K.
Zhao, Chengcheng
Sahel, Jose A
Wang, Bingjie
Chen, Yuanyuan
Publication Year :
2024

Abstract

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2405.09601
Document Type :
Working Paper
Full Text :
https://doi.org/10.1364/OL.530281