Presentation
7 March 2023 Monitoring of cell metabolic interactions in engineered brain tissue models using two-photon label-free imaging
Author Affiliations +
Abstract
In this project, we aim to build an unlabeled, two-photon imaging-based approach to identify cellular biomarkers in the context of traumatic brain injuries with subcellular imaging resolutions. So far, we have identified NAD(P)H, FAD, LipDH, and Lipofuscin, four main contributors from the brain cells. And we built a math model to quantify the fluorophore contributions directly from the two photon images. Therefore, we can calculate cellular redox state, the lipofuscin level, which is associated with oxidative stress, as well as the mitochondrial organization, cell-matrix interactions using established optical biomarkers in the lab in a more robust way.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Zhang, Volha Liaudanskaya, Maria T. Savvidou, Varshini Ramanathan, Ash Sze, Xinjie Chen, Thi Bui, Sevara Nasritdinova, Aonkon Dey, Aviva J. Symes, David L. Kaplan, and Irene Georgakoudi "Monitoring of cell metabolic interactions in engineered brain tissue models using two-photon label-free imaging", Proc. SPIE PC12377, Optical Interactions with Tissue and Cells XXXIV, PC1237709 (7 March 2023); https://doi.org/10.1117/12.2651024
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KEYWORDS
Brain

Two photon imaging

Neuroimaging

Tissues

Cognitive modeling

Data modeling

Luminescence

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