ArticleNature communications2017
A robot for high yield electrophysiology and morphology of single neurons in vivo.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Immediate reuse of patch-clamp pipettes after ultrasonic cleaning.Scientific reports · 2024Article
- Brain-wide projection reconstruction of single functionally defined neurons.Nature communications · 2022Article
- Automatic deep learning-driven label-free image-guided patch clamp system.Nature communications · 2021Article
- Article
- A highly efficient method for single-cell electroporation in mouse organotypic hippocampal slice culture.Journal of neuroscience methods · 2020Article
- Impaired Cortical Cytoarchitecture and Reduced Excitability of Deep-Layer Neurons in the Offspring of Diabetic Rats.Frontiers in cell and developmental biology · 2020Article
- Autonomous patch-clamp robot for functional characterization of neurons in vivo: development and application to mouse visual cortex.Journal of neurophysiology · 2019Article
- Objective Morphological Classification of Neocortical Pyramidal Cells.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
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Authors and funding
8 authors.
Funding
Abstract
Single-cell characterization and perturbation of neurons provides knowledge critical to addressing fundamental neuroscience questions including the structure-function relationship and neuronal cell-type classification. Here we report a robot for efficiently performing in vivo single-cell experiments in deep brain tissues optically difficult to access. This robot automates blind (non-visually guided) single-cell electroporation (SCE) and extracellular electrophysiology, and can be used to characterize neuronal morphological and physiological properties of, and/or manipulate genetic/chemical contents via delivering extraneous materials (for example, genes) into single neurons in vivo. Tested in the mouse brain, our robot successfully reveals the full morphology of single-infragranular neurons recorded in multiple neocortical regions, as well as deep brain structures such as hippocampal CA3, with high efficiency. Our robot thus can greatly facilitate the study of in vivo full morphology and electrophysiology of single neurons in the brain.
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Registered trials
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