Pioreactor / Pioreactor/pioreactor
Implement calibration monitoring during dosing automations
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- Dominant language
- Python
- Stars
- 149
- Forks
- 18
- PR merge metrics
- No merged PRs in 30d
Description
Idea: pump/OD calibrations can be tracked for drift or errors during dosing automations. That is, (assuming vial volumes are accurate), if a given dilution fails to produce the predicted OD +/- some margin, it can throw a warning.
Might be simplest to add this to DosingAutomationJob - thoughts?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading DosingAutomationJob and the existing pump and OD calibration flows. Define how predicted OD, measured OD, vial-volume assumptions, and the allowed margin should be represented before implementing monitoring; done means dosing automations detect drift or errors and emit a warning when a dilution falls outside the margin.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- embedded-iot
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100