Durable ex vivo mouse retina 3D tissue models for optical coherence tomography

Álvaro Barroso; Peter Heiduschka; Gerburg Nettels-Hackert; Steffi Ketelhut; Rocío del Amor; Fernando García-Torres; Sandra Morales-Martínez; Valery Naranjo; Björn Kemper; Jürgen Schnekenburger

doi:10.1117/12.3002538

12 March 2024 Durable ex vivo mouse retina 3D tissue models for optical coherence tomography

Álvaro Barroso, Peter Heiduschka, Gerburg Nettels-Hackert, Steffi Ketelhut, Rocío del Amor, Fernando García-Torres, Sandra Morales-Martínez, Valery Naranjo, Björn Kemper, Jürgen Schnekenburger

Author Affiliations +

Proceedings Volume 12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024; 1285405 (2024) https://doi.org/10.1117/12.3002538
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Durable phantoms with optical properties and layered structures like healthy and diseased tissues are highly desirable for reliable performance testing of novel high-resolution optical coherence tomography (HR-OCT) systems. In this context, we performed investigations on the establishment of durable 3D retina models from eyes dissected ex vivo from control mice and eyes from animals treated with N-methyl-D-aspartate (NMDA) which induces glaucoma-like tissue alterations. The comparison of data from resin-embedded tissue with native murine retina in gels demonstrates that by utilization of appropriate preparation protocols highly stable 3D samples with layered structures equivalent to native tissues can be fabricated which are suitable for reliable HR-OCT performance characterization.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Álvaro Barroso, Peter Heiduschka, Gerburg Nettels-Hackert, Steffi Ketelhut, Rocío del Amor, Fernando García-Torres, Sandra Morales-Martínez, Valery Naranjo, Björn Kemper, and Jürgen Schnekenburger "Durable ex vivo mouse retina 3D tissue models for optical coherence tomography", Proc. SPIE 12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024, 1285405 (12 March 2024); https://doi.org/10.1117/12.3002538

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