Dynamic monitoring neuronal fingerprints in a novel 3D engineered brain tissue model using two-photon, label-free imaging — Yang Zhang (2021) | RDL Network
Engineered brain tissue models with human derived cells are a promising platform for improving our understanding of brain function. Our study aims to develop a label-free, two-photon imaging focused approach that enables us to assess important morphological and functional changes that occur in such brain tissue models over time. We acquired spectral, intensity, and lifetime images of the same tissues over two months. Our results indicate that such dynamic monitoring of the cellular and matrix/scaffold components of such tissues is feasible, but complex because multiple fluorophores are present. Thus, a multi-modal, multi-wavelength approach is necessary to quantify meaningful functional changes.
Yang Zhang, Maria G. Savvidou, Volha Liaudanskaya, V. D. Ramanathan, Thi Tho Bui, Matthew Lindley, Yuhang Fu, Ash Sze, Ugochukwu O. Ugwu, Matthew E. Dilsizian, Xinjie Chen, Sevara Nasritdinova, Aonkon Dey, Eric L. Miller, David Kaplan, Irene Georgakoudi
Yang Zhang, Maria G. Savvidou, Volha Liaudanskaya, V. D. Ramanathan, Thi Tho Bui, Matthew Lindley, Ash Sze, Ugochukwu O. Ugwu, Yuhang Fu, Matthew E. Dilsizian, Xinjie Chen, Sevara Nasritdinova, Aonkon Dey, Eric L. Miller, David Kaplan, Irene Georgakoudi
Irene Georgakoudi, Afshin Beheshti, Yuhang Fu, Elizabeth M. Genega, David Kaplan, Olga Liaudanskaya, Matthew Lindley, Nima Najafi-Ghalehlou, Abani Patra, Christopher Polleys, Maria G. Savvidou, Pramesh Singh, Hong-Thao Thieu, Yang Zhang
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