Autonomous patch clamp robot for functional characterization of neurons in vivo

Supplemental Video. Autonomous patch clamp robot. This is a fully automated patch clamp robot that can be utilized for functional and consecutive characterization of neurons in vivo. Up to 40 pipettes can be loaded into the carousel before experimentation begins. Pipettes loaded into the carousel are automatically filled, inserted into the brain, localized to a cell, used for patch clamping, and discarded.Supplemental Table S1. Statistical Tests Comparing Properties for Different Cell Types. P-values when comparing populations with a two-tailed Student’s T-test, and the median absolute deviation ratio outlier test r = |(x_i-M)/MAD| for identifying outliers where x_i is the value being tested, M is the median value of the population, and MAD is the median absolute deviation (Leys 2013). A p 3.Supplemental Table S2. Statistical Tests for Evaluating Degree of Visual Drive: Spiking. Data used to test the statistical significance of the spiking behavior. Periods of visual stimulation are compared to periods of blank stimuli using a Poisson rate ratio exact test with a null hypothesis that the spike rates are equal between the two groups.Supplemental Table S3. Statistical Tests for Evaluating Degree of Visual Drive: Subthreshold. P-values when comparing the integral of the subthreshold activity during the 500 ms before and after stimulus onset. Integral was performed after spikes were removed.