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AI to the rescue of voltage imaging.
Lecoq, Jérôme A; Podgorski, Kaspar; Grewe, Benjamin F.
Afiliação
  • Lecoq JA; Allen Institute, MindScope program, Seattle, USA.
  • Podgorski K; Allen Institute, Neural Dynamics program, Seattle, USA.
  • Grewe BF; Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland.
Cell Rep Methods ; 3(6): 100505, 2023 06 26.
Article em En | MEDLINE | ID: mdl-37426751
ABSTRACT
In a recent issue of Nature Methods, Platisa et al. present an approach for long-term, in vivo population voltage imaging with single spike resolution across a local population of 100 neurons.1 Key to this step forward was the combination of a customized high-speed two-photon microscope with an optimized, positive-going, genetically encoded voltage indicator and a tailored machine learning denoising algorithm.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Neurônios Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Neurônios Idioma: En Ano de publicação: 2023 Tipo de documento: Article