Multi-neuron intracellular recording in vivo via interacting autopatching robots

Suhasa B. Kodandaramaiah, Francisco J. Flores, Gregory L. Holst, Annabelle C. Singer, Xue Han, Emery N. Brown, Edward S. Boyden, Craig R. Forest

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


The activities of groups of neurons in a circuit or brain region are important for neuronal computations that contribute to behaviors and disease states. Traditional extracellular recordings have been powerful and scalable, but much less is known about the intracellular processes that lead to spiking activity. We present a robotic system, the multipatcher, capable of automatically obtaining blind whole-cell patch clamp recordings from multiple neurons simultaneously. The multipatcher significantly extends automated patch clamping, or ’autopatching’, to guide four interacting electrodes in a coordinated fashion, avoiding mechanical coupling in the brain. We demonstrate its performance in the cortex of anesthetized and awake mice. A multipatcher with four electrodes took an average of 10 min to obtain dual or triple recordings in 29% of trials in anesthetized mice, and in 18% of the trials in awake mice, thus illustrating practical yield and throughput to obtain multiple, simultaneous whole-cell recordings in vivo.

Original languageEnglish (US)
Article numbere24656
StatePublished - Jan 3 2018

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© Kodandaramaiah et al.


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