pyPhotometry 2.0
Founding developer Thomas Akam
$399.00 USD
pyPhotometry is an open-source hardware and software system for fiber photometry data acquisition in neuroscience.
The pyPhotometry acquisition board utilizes a MicroPython microcontroller to acquire two digital and two analog signals, while also generating analog control signals for its two built-in LED driver circuits. The board is powered directly via the microcontroller’s USB connector, eliminating the need for an additional power supply.
EXPERIMENTAL CAPABILITIES
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1-Color and 2-Color Fiber Photometry: Enables recording of one or two fluorescent signals (e.g., GCaMP + isosbestic, or GCaMP + tdTomato)
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Time-Division Multiplexing (TDM): Alternating LED illumination provides clean separation of overlapping signals for multi-color experiments
KEY FEATURES
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Two-channel LED driver with independent modulation and current control
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High-speed analog signal acquisition (up to 130 Hz sampling rate)
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Integrated MicroPython-based microcontroller for real-time processing
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USB-powered and PC-controlled via a graphical user interface (GUI)
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Compact PCB design for benchtop or embedded setups
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Digital I/O for synchronization with external systems
CONTENTS
- PCB with enclosure (peripherals not included)
PUBLICATION
T Akam, M E Walton (2019). pyPhotometry: Open source Python based hardware and software for fiber photometry data acquisition. Scientific Reports
