Fast volume imaging with bessel beam tomography and machine learning

Flores Valle, Andres; Seelig, Johannes D.

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Journal Article

Fast volume imaging with bessel beam tomography and machine learning

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Flores Valle, Andres
International Max Planck Research School (IMPRS) for Brain and Behavior, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society;

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Seelig, Johannes D.
Max Planck Research Group Neural Circuits, Center of Advanced European Studies and Research (caesar), Max Planck Society;

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https://analyticalscience.wiley.com/do/10.1002/was.00010002
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Citation

Flores Valle, A., & Seelig, J. D. (2020). Fast volume imaging with bessel beam tomography and machine learning. Wiley Analytical Science Magazine.

Cite as: https://hdl.handle.net/21.11116/0000-000B-F59E-F

Abstract

Neural activity in the brain propagates at high rates in three spatial dimensions. This is challenging for microscopy which typically only monitors a single two-dimensional focal plane at a time. To address this problem, we developed a fluorescence tomography approach that records volume information at high frame rates.