This is a Python package to control a patch-clamp amplifier. It works with National Instruments acquision boards. Three amplifiers are implemented:
- Axoclamp 2B (just the gains)
- Multiclamp 700B
- Axoclamp 900A
It can be interfaced with the neural simulator Brian to run the protocols on a model.
An example setup for the Axoclamp 900A and an NI board would be:
amplifier = Axoclamp900A()
board = NI()
board.set_analog_input('output1', channel=0, deviceID='SCALED OUTPUT 1', gain=amplifier.get_gain)
board.set_analog_input('output2', channel=1, deviceID='SCALED OUTPUT 2', gain=amplifier.get_gain)
board.set_analog_output('Ic1', channel=0, deviceID='I-CLAMP 1', gain=amplifier.get_gain)
amplifier.configure_scaled_outputs(board, 'output1', 'output2')
board.set_aliases(V='10V1', Ic='Ic1')
A typical acquisition protocol reads:
amplifier.current_clamp()
V = board.acquire('V', Ic=my_pulse)
where my_pulse is an array representing the current waveform.