24 June 2021: Customisation of the Opentrons OT-2 Robot and the Use of 3D-Printed Labware

Eventbrite: https://www.eventbrite.co.uk/e/customisation-of-the-opentrons-ot-2-robot-and-the-use-of-3d-printed-labware-tickets-157795489557

The OT-2 is a liquid handling robot that is low-cost, programmable, and customisable. This workshop is the first session of two OT-2 workshops. In this workshop, the OT-2 platform will be briefly introduced and the use of custom labware options including 3D printing to customise this platform will be discussed.

    • Two speakers will be chairing this session. The first speaker will introduce the platform and will talk about the customisation options.
    • The second speaker share their experience/tips using the Ultimaker 3D printer, Utimaker Cura and Autodesk Meshmixer software
    • The attendees will be able to bring their own designs and the speakers will demonstrate how local attendees can 3D print them at the uCreate Studio, https://www.ucreatestudio.is.ed.ac.uk, University of Edinburgh.

 

8 July 2021: Python Programming the Opentrons OT-2 Robot

Eventbrite: https://www.eventbrite.co.uk/e/python-programming-the-opentrons-ot-2-tickets-157708483319

Image: https://opentrons.com

Slides: programming-opentrons-workshop.pdf
Code: code-workshop.zip

  • The OT-2 is a liquid handling robot that is low cost, programmable, and customisable.  This workshop will include:
    • an introduction to the robot,
    • a short review of Python,
    • the Opentrons API,
    • how to use the Opentrons protocol designer,
    • custom versus standard labware,
    • how to implement a protocol in Python and test it with the simulator, and
    • how to use the library of open source protocols.

 

22 July 2021: Design of Experiments

Eventbrite: https://www.eventbrite.co.uk/e/design-of-experiments-tickets-157788265951

 

Despite being largely discredited, the ‘one-factor-at-a-time’ approach to experimental design remains the method of choice for many synthetic biologists. Design of Experiments is a statistical approach to experimental design and analysis, which enables researchers to efficiently and systematically explore complex design spaces. In addition to dramatically reducing time and resource requirements, DoE facilitates evaluation of interaction effects, which are ubiquitous in biological systems and neglected in one-factor-at-a-time studies.

This workshop will cover the following:

  • Introduction to DoE, and its applications in synthetic biology and bioprocess development
  • Potential for automated DoE guided high-throughput optimisation.
  • Introduction to Minitab for DoE
  • Interactive session providing an opportunity to design, execute and analyse a design of experiments using Minitab and the Virtual PCR simulator [1].
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[1]         H. Fellermann et al., “Design of experiments and the virtual PCR simulator: An online game for pharmaceutical scientists and biotechnologists,” Pharm. Stat., vol. 18, no. 4, pp. 402–406, Jul. 2019.