Center for Life Nano- & Neuro-Science , Istituto Italiano di Tecnologia, Viale Regina Elena, 291, 00161, Rome, Italy.
D-Tails s.r.l. BCorp, Via di Torre Rossa, 66, 00165, Rome, Italy.
Sci Rep. 2023 Jul 6;13(1):10983. doi: 10.1038/s41598-023-37806-6.
Many human neural or neurodegenerative diseases strongly affect the ocular and retinal environment showing peculiar alterations which can be employed as specific disease biomarkers. The noninvasive optical accessibility of the retina makes the ocular investigation a potentially competitive strategy for screening, thus the development of retinal biomarkers is rapidly growing. Nevertheless, a tool to study and image biomarkers or biological samples in a human-like eye environment is still missing. Here we report on a modular and versatile eye model designed to host biological samples, such as retinal cultures differentiated from human induced pluripotent stem cells and ex-vivo retinal tissue, but also suited to host any kind of retinal biomarkers. We characterized the imaging performance of this eye model on standard biomarkers such as Alexa Fluor 532 and Alexa Fluor 594.
许多人类神经或神经退行性疾病强烈影响眼部和视网膜环境，表现出特定的改变，这些改变可以作为特定疾病的生物标志物。视网膜具有非侵入性的光学可及性，使眼部检查成为一种具有潜力的筛查策略，因此视网膜生物标志物的开发正在迅速发展。然而，仍然缺乏一种用于在类似于人眼的环境中研究和成像生物标志物或生物样本的工具。在这里，我们报告了一种模块化和多功能的眼睛模型，该模型旨在容纳生物样本，如源自人诱导多能干细胞的视网膜培养物和离体视网膜组织，同时也适合容纳任何类型的视网膜生物标志物。我们对这种眼睛模型的成像性能进行了表征，包括对 Alexa Fluor 532 和 Alexa Fluor 594 等标准生物标志物的检测。
