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Research ArticleOpen Source Tools and Methods, Novel Tools and Methods

Simple and Efficient 3D-Printed Superfusion Chamber for Electrophysiological and Neuroimaging Recordings In Vivo

Dmitrii Suchkov, Viktoria Shumkova, Violetta Sitdikova and Marat Minlebaev
eNeuro 28 September 2022, 9 (5) ENEURO.0305-22.2022; https://doi.org/10.1523/ENEURO.0305-22.2022
Dmitrii Suchkov
1Institut de Neurobiologie de la Méditerranée, Institut National de la Santé et de la Recherche Médicale, Aix-Marseille University, Marseille, France
2Laboratory of Neurobiology, Kazan Federal University, Kazan, Russia
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Viktoria Shumkova
2Laboratory of Neurobiology, Kazan Federal University, Kazan, Russia
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Violetta Sitdikova
2Laboratory of Neurobiology, Kazan Federal University, Kazan, Russia
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Marat Minlebaev
1Institut de Neurobiologie de la Méditerranée, Institut National de la Santé et de la Recherche Médicale, Aix-Marseille University, Marseille, France
2Laboratory of Neurobiology, Kazan Federal University, Kazan, Russia
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0305-22.2022
PubMed 
36171056
Published By 
Society for Neuroscience
History 
  • Received July 26, 2022
  • Revision received September 1, 2022
  • Accepted September 8, 2022
  • Published online September 28, 2022.
Copyright & Usage 
Copyright © 2022 Suchkov et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Dmitrii Suchkov1,2,
  2. Viktoria Shumkova2,
  3. Violetta Sitdikova2 and
  4. Marat Minlebaev1,2
  1. 1Institut de Neurobiologie de la Méditerranée, Institut National de la Santé et de la Recherche Médicale, Aix-Marseille University, Marseille, France
  2. 2Laboratory of Neurobiology, Kazan Federal University, Kazan, Russia
  1. Correspondence should be addressed to Marat Minlebaev at marat.minlebaev{at}inserm.fr.
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Author contributions

  1. Author contributions: M.M. designed research; D.S., V.Sh., and V.Si. performed research; D.S. and M.M. analyzed data; M.M. wrote the paper.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by France 2030, the French Government program managed by the French National Research Agency Grant ANR-16-CONV-0001, the Excellence Initiative of Aix-Marseille University - A*MIDEX (D.S.), and by the Russian Science Foundation (RSF) Grant 22-25-00225 (to V.Sh. and V.Si., single-cell recordings in vivo and their analysis) and was within the Program of competitive growth at Kazan Federal University (publication fees).

Funding

  • French National Research Agency

    ANR-16-CONV-0001
  • Russian Science Foundation (RSF)

    22-25-00225
  • Program of competitive growth at Kazan Federal University

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  • You are viewing the most recent version of this article.
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Simple and Efficient 3D-Printed Superfusion Chamber for Electrophysiological and Neuroimaging Recordings In Vivo
Dmitrii Suchkov, Viktoria Shumkova, Violetta Sitdikova, Marat Minlebaev
eNeuro 28 September 2022, 9 (5) ENEURO.0305-22.2022; DOI: 10.1523/ENEURO.0305-22.2022

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Simple and Efficient 3D-Printed Superfusion Chamber for Electrophysiological and Neuroimaging Recordings In Vivo
Dmitrii Suchkov, Viktoria Shumkova, Violetta Sitdikova, Marat Minlebaev
eNeuro 28 September 2022, 9 (5) ENEURO.0305-22.2022; DOI: 10.1523/ENEURO.0305-22.2022
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Keywords

  • 3D printing
  • drugs screening
  • electrophysiology
  • neuroimaging
  • in vivo

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