Existing resources

• Python code to control Luigs and Neumann SM-5
• The autopatcher project and code (check Autopatcher IG). Check also Neuromatic devices
• The robotpatch project, Matlab code for autopatching.
• Image processing can be done with OpenCV.
• Kivy allows writing multitouch GUIs in Python.
• ACQ4, Python software for electrophysiology. Includes code for Scientifica and Sutter manipulators.
• Joysticks (eg XBox controller) can be accessed with Pygame and Inputs. Also some simple Python module for the XBox 360 controller.

Papers:

• Perin and Markram (2013) A Computer-assisted Multi-electrode Patch-clamp System.
• Wu et al (2016) Integration of autopatching with automated pipette and cell detection in vitro. Check out the references in that paper.
• Kodandaramaiah et al (2016) - Assembly and operation of the autopatcher for automated intracellular neural recording in vivo.
• Kodandaramaiah et al (2012) - Automated whole-cell patch-clamp electrophysiology of neurons in vivo.
• Novak and Zahradnick (2005) - Computer-Aided Formation of the Whole-Cell Patch-Clamp Recording Configuration.
• Kolb et al (2016) - Cleaning patch-clamp pipettes for immediate reuse.
• Desai et al. (2015) - [MATLAB-based automated patch-clamp system for awake behaving mice] (http://jn.physiology.org/content/jn/114/2/1331.full.pdf).