patchclamp

Scripts for python analysis of patch-clamp recordings.

Currently contains:

• memtest.ipynb
• action_spectra.ipynb

Installation

1. Clone the repo

$ git clone https://github.com/deisseroth-lab/patchclamp.git
$ cd patchclamp

2. Create conda environment

$ conda env create -f environment.yml

3. Activate the conda environment

$ conda activate patchclamp

4. Run the Jupyter notebooks (e.g.

$ jupyter-lab

Reference for pyABF:

"Analysis of electrophysiological recordings was performed with custom software written for this project using Python 3.7 and the pyABF module¹." [1] Harden, SW (2020). pyABF 2.2.3. [Online]. Available: https://pypi.org/project/pyabf/, Accessed on: Sep. 24, 2019.