AutoMonaco

Experiment automation for Coherent's Monaco Laser

Contains extendable, versatile classes to allow easy control of the laser via serial commands as well as scripts using these classes to automate parameter-optimisation protocols for optogentetic stimulation of large populations of neurons.

Dependencies:

pyserial - https://pypi.org/project/pyserial/

https://github.com/clade/ThorlabsPM100

Acknowledgements:

Heavily based on https://github.com/AliSan123/Optogenetics_project

Name		Name	Last commit message	Last commit date
Latest commit History 260 Commits
CHO_june		CHO_june
Docs		Docs
Tests		Tests
__pycache__		__pycache__
arduino_code/sketch_feb17a		arduino_code/sketch_feb17a
choJune2		choJune2
.DS_Store		.DS_Store
1000kHz_pulsing.py		1000kHz_pulsing.py
100kHz_pulsing.py		100kHz_pulsing.py
10kHz_Pulsing.py		10kHz_Pulsing.py
ArduinoGate.py		ArduinoGate.py
Experiementer.py		Experiementer.py
LaserShutdown.py		LaserShutdown.py
LaserStart.py		LaserStart.py
Monaco.py		Monaco.py
ParameterPlotter.py		ParameterPlotter.py
PatchClamp.py		PatchClamp.py
PowerMeter.py		PowerMeter.py
README.md		README.md
RL_test.py		RL_test.py
SET_parameterplotter.py		SET_parameterplotter.py
SET_test.py		SET_test.py
SerialCommander.py		SerialCommander.py
burstTest.py		burstTest.py
experiment_script.py		experiment_script.py
floatPower.py		floatPower.py
gateTest.py		gateTest.py
gateTest2.py		gateTest2.py
lookup.csv		lookup.csv
lookup.xltx		lookup.xltx
single_pulses.py		single_pulses.py
unlock.py		unlock.py

N0AHt/AutoMonaco

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