Nature Communications (Feb 2021)
Automatic deep learning-driven label-free image-guided patch clamp system
- Krisztian Koos,
- Gáspár Oláh,
- Tamas Balassa,
- Norbert Mihut,
- Márton Rózsa,
- Attila Ozsvár,
- Ervin Tasnadi,
- Pál Barzó,
- Nóra Faragó,
- László Puskás,
- Gábor Molnár,
- József Molnár,
- Gábor Tamás,
- Peter Horvath
Affiliations
- Krisztian Koos
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network
- Gáspár Oláh
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged
- Tamas Balassa
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network
- Norbert Mihut
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged
- Márton Rózsa
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged
- Attila Ozsvár
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged
- Ervin Tasnadi
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network
- Pál Barzó
- Department of Neurosurgery, University of Szeged
- Nóra Faragó
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged
- László Puskás
- Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre
- Gábor Molnár
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged
- József Molnár
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network
- Gábor Tamás
- MTA-SZTE Research Group for Cortical Microcircuits of the Hungarian Academy of Sciences, Department of Physiology, Anatomy and Neuroscience, University of Szeged
- Peter Horvath
- Synthetic and Systems Biology Unit, Biological Research Centre, Eötvös Loránd Research Network
- DOI
- https://doi.org/10.1038/s41467-021-21291-4
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 11
Abstract
Patch clamp recording of neurons is slow and labor-intensive. Here the authors present a method for automated deep learning driven label-free image guided patch clamp physiology to perform measurements on hundreds of human and rodent neurons.
