Panos Symvoulidis

Email: symvou, followed by @mit.edu

Panos is a postdoctoral associate in the Synthetic Neurobiology group at MIT. He acquired his Electrical and Computer Engineering Diploma from the NTUA (Greece). During his Ph.D. at the TU Munich (Germany), he worked on (pre-)clinical cancer imaging using optical methods. Later on, Panos focused on the transparent brains of zebrafish larvae and he engineered a novel tracking microscope. Intrigued by the neural circuits that give rise to behaviour, he joined the Synthetic Neurobiology group to expand and use novel tools to understand the structure and function of the larval zebrafish brain.

Publications

Dense, Continuous Membrane Labeling and Expansion Microscopy Visualization of Ultrastructure in Tissues

bioRxiv | 2024

Tay Won Shin, Hao Wang*, Chi Zhang*, Bobae An, Yangning Lu, Elizabeth Zhang, Xiaotang Lu, Emmanouil D Karagiannis, Jeong Seuk Kang, Amauche Emenari, Panagiotis Symvoulidis, Shoh Asano, Leanne Lin, Emma K Costa; IMAXT Grand Challenge Consortium; Adam H Marblestone, Narayanan Kasthuri, Li-Huei Tsai, Edward S Boyden (2024) Dense, Continuous Membrane Labeling and Expansion Microscopy Visualization of Ultrastructure in Tissues, bioRxiv 2024.03.07.583776; doi: https://doi.org/10.1101/2024.03.07.583776 (*, equal contribution)

Autism genes converge on asynchronous development of shared neuron classes

Nature | 2022

Paulsen B, Velasco S, Kedaigle AJ, Pigoni M, Quadrato G, Deo AJ, Adiconis X, Uzquiano A, Sartore R, Yang SM, Simmons SK, Symvoulidis P, Kim K, Tsafou K, Podury A, Abbate C, Tucewicz A, Smith SN, Albanese A, Barrett L, Sanjana NE, Shi X, Chung K, Lage K, Boyden ES, Regev A, Levin JZ, Arlotta P (2022) Autism genes converge on asynchronous development of shared neuron classes, Nature 602(7896):268-273.

Real-Time Light Field 3D Microscopy via Sparsity-Driven Learned Deconvolution

2021 IEEE International Conference on Computational Photography (ICCP) | 2021

Vizcaino, Josue Page, Zeguan Wang, Panagiotis Symvoulidis, Paolo Favaro, Burcu Guner-Ataman, Edward S. Boyden, and Tobias Lasser (2021) Real-time light field 3D microscopy via sparsity-driven learned deconvolution, IEEE International Conference on Computational Photography (ICCP) 1-11.

Sparse decomposition light-field microscopy for high speed imaging of neuronal activity

Optica | 2020

Young-Gyu Yoon*, Zeguan Wang*, Nikita Pak, Demian Park, Peilun Dai, Jeong Seuk Kang, Ho-Jun Suk, Panagiotis Symvoulidis, Burcu Guner-Ataman, Kai Wang**, and Edward S. Boyden** (2020) Sparse decomposition light-field microscopy for high speed imaging of neuronal activity, Optica 7(10):1457-1468. (* equal contributors, ** equal contributors)