A computer-assisted multi-electrode patch-clamp system
- PMID: 24192529
- PMCID: PMC3948366
- DOI: 10.3791/50630
A computer-assisted multi-electrode patch-clamp system
Abstract
The patch-clamp technique is today the most well-established method for recording electrical activity from individual neurons or their subcellular compartments. Nevertheless, achieving stable recordings, even from individual cells, remains a time-consuming procedure of considerable complexity. Automation of many steps in conjunction with efficient information display can greatly assist experimentalists in performing a larger number of recordings with greater reliability and in less time. In order to achieve large-scale recordings we concluded the most efficient approach is not to fully automatize the process but to simplify the experimental steps and reduce the chances of human error while efficiently incorporating the experimenter's experience and visual feedback. With these goals in mind we developed a computer-assisted system which centralizes all the controls necessary for a multi-electrode patch-clamp experiment in a single interface, a commercially available wireless gamepad, while displaying experiment related information and guidance cues on the computer screen. Here we describe the different components of the system which allowed us to reduce the time required for achieving the recording configuration and substantially increase the chances of successfully recording large numbers of neurons simultaneously.
Similar articles
-
Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices.J Vis Exp. 2017 Jul 31;(125):56010. doi: 10.3791/56010. J Vis Exp. 2017. PMID: 28784955 Free PMC article.
-
Integration of autopatching with automated pipette and cell detection in vitro.J Neurophysiol. 2016 Oct 1;116(4):1564-1578. doi: 10.1152/jn.00386.2016. Epub 2016 Jul 6. J Neurophysiol. 2016. PMID: 27385800 Free PMC article.
-
Automated in vivo patch-clamp evaluation of extracellular multielectrode array spike recording capability.J Neurophysiol. 2018 Nov 1;120(5):2182-2200. doi: 10.1152/jn.00650.2017. Epub 2018 Jul 11. J Neurophysiol. 2018. PMID: 29995597 Free PMC article.
-
Advanced real-time recordings of neuronal activity with tailored patch pipettes, diamond multi-electrode arrays and electrochromic voltage-sensitive dyes.Pflugers Arch. 2021 Jan;473(1):15-36. doi: 10.1007/s00424-020-02472-4. Epub 2020 Oct 13. Pflugers Arch. 2021. PMID: 33047171 Free PMC article. Review.
-
Methods for single-cell recording and labeling in vivo.J Neurosci Methods. 2019 Sep 1;325:108354. doi: 10.1016/j.jneumeth.2019.108354. Epub 2019 Jul 11. J Neurosci Methods. 2019. PMID: 31302156 Review.
Cited by
-
Closed-Loop Real-Time Imaging Enables Fully Automated Cell-Targeted Patch-Clamp Neural Recording In Vivo.Neuron. 2017 Aug 30;95(5):1037-1047.e11. doi: 10.1016/j.neuron.2017.08.011. Neuron. 2017. PMID: 28858614 Free PMC article.
-
Patch-walking, a coordinated multi-pipette patch clamp for efficiently finding synaptic connections.Elife. 2024 Nov 18;13:RP97399. doi: 10.7554/eLife.97399. Elife. 2024. PMID: 39556439 Free PMC article.
-
A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation.Hippocampus. 2020 Apr;30(4):314-331. doi: 10.1002/hipo.23148. Epub 2019 Aug 31. Hippocampus. 2020. PMID: 31472001 Free PMC article.
-
High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp.Elife. 2019 Nov 19;8:e48178. doi: 10.7554/eLife.48178. Elife. 2019. PMID: 31742558 Free PMC article.
-
Single neuron recording: progress towards high-throughput analysis.Bioelectron Med (Lond). 2020 Aug;3(3):33-36. doi: 10.2217/bem-2020-0011. Epub 2020 Sep 17. Bioelectron Med (Lond). 2020. PMID: 33169092 Free PMC article. No abstract available.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources