Inspiration
Tedious tasks in labs
What it does
Automates decision making based on sensor data for the OpenTrons One platform (OT1).
How I built it
Adapted an optical spectroscopy device to the OT1. Implemented control system with feedback from a classifier using a Support Vector Machine and spectral data gathered from samples in the lab as training samples.
Challenges I ran into
Tuning of the classification algorithm. Talking to the OT1 in a consistent manner and integrating the decision into the protocol to be uploaded to the machine.
Accomplishments that I'm proud of
It works!
What I learned
Don't overengineer. We basically reimplemented some of the OpenTrons SDK for this task, duplicating efforts unnecessarily, in particular for a demo
What's next for Pipette
Integration into the SDK, abstraction of the classifier and sensor in order to enable easier addition of new sensors, methods, etc.
Built With
- gcode
- nano-drop
- opentrons-one
- python
- support-vector-machines
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