endylab/opentrons

Code relating to the OpenTrons liquid handling robots.

opentrons's Issues

3D Print tip rack holders

Use cameras to identify labware on the deck

• What labware
• Coarse position (which grid square?)

Using computer vision to control OT-1 robot

Hello,

I'm a research student who recently got his hands on opentrons OT-1 robot. I wanted to implement computer vision using openCV to have feedback control to the robot. I have a couple of questions to ask.

1. I am currently using intelsense intel sense d435i camera but didn't had much success with its integeration. What camera you guys recommend using?
2. For the platform do you guys recomended using Matlab computer vision toolbox or stick to python OpenCV as the OT-1 is meant to work with python.

Thanks,
Jay

3D Print Eppendorf Pipette Holders

Use weight data to calibrate pipettes

Add calibration using existing API to python shell

Investigate hardware hacking microbalances to get data out

Get data out of cheap microbalances using CV

Use computer vision to read screen

Use CV to set pipette top and bottom based on observed stops

Cross validate weight-based calibration using Ricky's spec protocol

Add pipette control to python shell

Reinforce data connection to new ELP camera

So that we don't break it while we're messing around.

Get accuracy / precision data on two microbalances

• Use calibration weights
• Cross-validate with our good microbalances
• Collect and publish data

Create measurements at high and low ends; test discrimination between 1 mg weights.

Can we dead-reckon the bottom of a well plate based on what labware it is?

Figure out where we want cameras and mount them.

Use OpenCV to read numbers from LCD screen

Buy sample cameras

Need to pick a couple of cameras and order them

Based on coarse labware/position information, finely calibrate each piece of labware on the deck

Improve on drop screw for pipette calibration

Not key focus but came up in discussions

Collect image datasets to use for development

Different labware configurations.
With camera positions as we will use
Do we want video or still images?

Collect data on how long it takes each lab member to calibrate the robot.

Run through calibration with each person and time how long it takes them.

Use microbalances to get initial data on pipette accuration

Verification test across a number of plates.

Install and document OpenCV environment

Must work for windows and OS X

Investigate force-sensing pipette tip for well bottom calibration

Use CV to watch someone get from pipette top to first and second stops

Name the robots

We need cool names to distinguish the robots from one another. All suggestions for names or naming themes will be entered into.