nathandtrone / piphys

Light-weight electrophysiology hardware and software platform for cloud-based neural recording experiments

piphys

Update: The latest manuscript about Piphys has been published in IOP Journal of Neural Engineering!

Peer-reviewed journal article:

Light-weight electrophysiology hardware and software platform for cloud-based neural recording experiments

The original preprint can still be accessed on bioRxiv.

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Overview

Piphys is an inexpensive open source neurophysiological recording platform based on Raspberry Pi. It is easily accessed and controlled via a standard web interface through Internet of Things (IoT) protocols.

Piphys modules can be used in a fleet to enable long-term observations of neural development, organization, and activity at scale.

Design Files

Hardware

• Raspberry Pi expansion circuit board for and Intan RHD2000 bioamplifier chip.
• Electrode adapter circuit board for Axion CytoView MEA Plate.

Source files, documentation, and files for manufacturing each circuit board are in ./Hardware.

Electrode mapping

There are 64 electrodes in a well B2 of the Axion CytoView MEA Plate. The electrode adapter circuit board allows 32 of the 64 electrodes to be recorded by Piphys. The green dots are the recorded channels, labeled with their channel number in the data file sampling sequence.

Mechanical

CAD files in for the electrode plate holder are in ./Mechanical/AxionPlateHolder.

Assembly Order:

AxionPlateHolder_CNC_ClampTop_Aluminum
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[Axion CytoView MEA Plate]
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AxionPlateHolder_CNC_ClampBottom_Plastic
AxionPlateHolder_CNC_ClampBottom_Aluminum

Software

Software to enable voltage sampling and user interaction, with accopmanying documentation are in ./Software.

See braingeneerpy Python package for IoT communication library.

Test Data

System validation data with sine wave are available at the Piphys Google Drive folder.

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© 2021 Braingeneers