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  Fast volume imaging with bessel beam tomography and machine learning

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

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-F59E-F Version Permalink: https://hdl.handle.net/21.11116/0000-000C-7682-C
Genre: Journal Article

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https://analyticalscience.wiley.com/do/10.1002/was.00010002 (Publisher version)
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 Creators:
Flores Valle, Andres1, Author                 
Seelig, Johannes D.2, Author                 
Affiliations:
1International Max Planck Research School (IMPRS) for Brain and Behavior, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society, ou_3481421              
2Max Planck Research Group Neural Circuits, Center of Advanced European Studies and Research (caesar), Max Planck Society, ou_2237639              

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 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.

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Language(s): eng - English
 Dates: 2020-01
 Publication Status: Published online
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Title: Wiley Analytical Science Magazine
Source Genre: Journal
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Publ. Info: Weinheim : Wiley-VCH
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -