Design and implementation of a low cost, modular, adaptable and open-source XYZ positioning system for neurophysiology

• Main Authors: Thomas Campbell, James F.X. Jones
• Format: Article
• Language: English
• Published: Elsevier 2020-04-01
• Series: HardwareX
• Subjects: Neurophysiology; Mechanotransduction; XYZ positioning system; Automated microscopy; Raspberry Pi; Arduino
• Online Access: http://www.sciencedirect.com/science/article/pii/S2468067220300079

In recent years, open-source 3D printing technologies have become increasingly applied to biological research. We have created a fully open-source, versatile and low cost XYZ positioning system using 3D printer components. As this system is controlled by a Python3 based operating system running on a Raspberry Pi 3 Model B, its behaviour can be adapted to meet multiple needs in neurophysiology. We have developed two main applications of this system. First, we have created an automated microscopy script that links seamlessly with image stitching plugins in ImageJ (Fiji) allowing the user to create high resolution montages. Second, we have created a series of movement scripts allowing the application of graded rates of stretch to muscle spindles. Here we outline the construction and implementation of this system and discuss how we have utilised this tool in our research.