Master student practical course in laboratory automation completed successfully

This year the master student practical course in laboratory automation was performed using the Opentrons OT-2 liquid handling robots and their Python programming interface. We had the impression the students really enjoyed working with the robots and achieved some fantastic results. Thanks to the ETH Innovedum project, for making this possible!

by Gregor Schmidt
Enlarged view: Marilyn_PipettingRobot
As one of the advanced challenges, the students "print" their favourite picture inside a 384-well plate using water colours. After selecting an image, it is first cropped to the right aspect ratio. In the next step, the image image is resized such that each well in the 384-well plate corresponds to one pixel of the image. Last, the colour information is extracted from each pixel and translated into volumes of each color to be added.
JavaScript has been disabled in your browser