Command Line Start Guide
If you are new to command line / bash, you can start here!
Overview
Reasons you might use command line experiment start:
Doing a custom experiment
Unable to install GUI or getting errors you aren't able to fix easily (post on the forum first)
Protocol
Set your computer to never fall asleep to prevent experiments from being halted.
In a command line window, enter the dpu virtual environment.
Navigate to the DPU directory
Use this command:
cd <path_to_dpu>
Enter the command:
On Mac OS:
source dpu-env/bin/activate
On Windows PowerShell:
dpu-env\Scripts\Activate.ps1
Navigate to your experiment folder
This should be in
dpu/experiment
Copy the template folder and rename it for each experiment
Navigate into your new experiment folder
Alter settings in
custom_script.py
EVOLVER_PORT
= set correct IP of the eVOLVERSet initial temp and stir settings
custom_script.py
has basic settings for running chemostat and turbidostat experiments, but you can also customize. To learn more click here.
Start the experiment using the command:
python3 eVOLVER.py -i <your_evolver's_IP_address>
python3 eVOLVER.py -i 192.168.1.9
Temperature should be fully equilibrated before this
DO NOT add cells before blanking, whatever OD value the cells + media have will be subtracted from future measurements
Stop the experiment using the keyboard shortcut
control+C
One
control+C
pauses the experiment from recording dataTwo
control+C
stops the experiment
To change parameters mid-experiment or restart from blank data files:
Stop the experiment fully
Change parameters in
custom_script.py
Restart the experiment
Continue to keep your data
Overwrite to make new blank data files and throw away your old experiment. NOTE: you will lose your OD blank and will need to make a new one (a hassle if you have already inoculated with cells)
You can run experiments on more than one eVOLVER at a time
Create a new experiment folder (different
custom_script.py
) and change IPFollow this procedure in an additional command line window
You can graph your experiment using the graphing tool here.
Ending an Experiment
Clean up the experiment
Data is in the data files
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