References
- Hamill OP , MartyA, NeherE, SakmannB, SigworthFJ. Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches. Pflügers Arch.391(2), 85–100 (1981).
- Cadwell CR , PalasantzaA, JiangXet al. Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq. Nat. Biotechnol.34(2), 199–203 (2016).
- Dunlop J , BowlbyM, PeriR, VasilyevD, AriasR. High-throughput electrophysiology: an emerging paradigm for ion-channel screening and physiology. Nat. Rev. Drug Discov.7(4), 358–368 (2008).
- Kodandaramaiah SB , FranzesiGT, ChowBY, BoydenES, ForestCR. Automated whole-cell patch-clamp electrophysiology of neurons in vivo. Nat. Methods9(6), 585–587 (2012).
- Desai NS , SiegelJJ, TaylorW, ChitwoodRA, JohnstonD. MATLAB-based automated patch-clamp system for awake behaving mice. J. Neurophysiol.114(2), 1331–1345 (2015).
- Kodandaramaiah SB , HolstGL, WickershamIRet al. Assembly and operation of the autopatcher for automated intracellular neural recording in vivo. Nat. Protoc.11(4), 634–654 (2016).
- Wu Q , KolbI, CallahanBMet al. Integration of autopatching with automated pipette and cell detection in vitro. J. Neurophysiol.116(4), 1564–1578 (2016).
- Suk HJ , van WelieI, KodandaramaiahSB, AllenB, ForestCR, BoydenES. Closed-loop real-time imaging enables fully automated cell-targeted patch-clamp neural recording in vivo. Neuron95(5), 1037–1047.e11 (2017).
- Annecchino LA , MorrisAR, CopelandCS, AgabiOE, ChaddertonP, SchultzSR. Robotic automation of in vivo two-photon targeted whole-cell patch-clamp electrophysiology. Neuron95(5), 1048–1055.e3 (2017).
- Koos K , OláhG, BalassaTet al. Automatic deep learning driven label-free image guided patch clamp system for human and rodent in vitro slice physiology. bioRxiv doi: 10.2020/05.05.078162 (2020) ( Epub ahead of print) ( Preprint).
- Shull G , HaffnerC, HuttnerWB, KodandaramaiahSB, TavernaE. Robotic platform for microinjection into single cells in brain tissue. EMBO Rep.20(10), e47880 (2019).
- Perin R , MarkramH. A computer-assisted multi-electrode patch-clamp system. J. Vis. Exp. (80), 1–13 (2013).
- Peng Y , MittermaierFX, PlanertH, SchneiderUC, AlleH, GeigerJRP. High-throughput microcircuit analysis of individual human brains through next-generation multineuron patch-clamp. Elife8, 1–52 (2019).
- Kolb I , LandryCR, YipMCet al. PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices. J. Neural Eng.16(4), 046003 (2019).
- Kodandaramaiah SB , FloresFJ, HolstGLet al. Multi-neuron intracellular recording in vivo via interacting autopatching robots. Elife7, 1–19 (2018).
- Holst GL , StoyW, YangBet al. Autonomous patch-clamp robot for functional characterization of neurons in vivo: development and application to mouse visual cortex. J. Neurophysiol.121(6), 2341–2357 (2019).
- Harrison RR , KolbI, KodandaramaiahSBet al. Microchip amplifier for in vitro, in vivo, and automated whole cell patch-clamp recording. J. Neurophysiol.113(4), 1275–1282 (2015).
- Shekar S , JayantK, RabadanMA, TomerR, YusteR, ShepardKL. A miniaturized multi-clamp CMOS amplifier for intracellular neural recording. Nat. Electron.2(8), 343–350 (2019).
- Ghanbari L , RynesML, HuJet al. Craniobot: a computer numerical controlled robot for cranial microsurgeries. Sci. Rep.9(1), 1–12 (2019).
- Rynes ML , GhanbariL, SchulmanDSet al. Assembly and operation of an open-source, computer numerical controlled (CNC) robot for performing cranial microsurgical procedures. Nat. Protoc.15(6), 1992–2023 (2020).