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BIT 495/595: Robots and Automation in Biotechnology

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Overview:

  • Introduction to laboratory automation and automated liquid handling for the life sciences — no prior coding experience required
  • Hands-on training across three platforms: Opentrons Flex, Opentrons OT-2, and Eppendorf epMotion
  • A graduated protocol-building toolset: drag-and-drop Protocol Designer, AI-assisted drafting, and lightly hand-edited Python
  • Experimental design at scale: plate maps, controls, dead volume and reagent excess, and combinatorial layouts

Lecture Topics:

  • Why automate? Reproducibility, throughput, and the platform landscape
  • Anatomy of a liquid handler: decks, labware, pipettes, tips, and modules
  • Building protocols without syntax: Protocol Designer and OpentronsAI
  • Reading and parameterizing Python; spreadsheet-driven protocols
  • Designing automated experiments: plate maps, controls at scale, and combinatorial design
  • Bead-based and complex workflows: magnetic modules, heater-shakers, and the gripper
  • Applications across the ecosystem: NGS prep, ELISA, screening, and quality control
  • Integration and futures: workcells, schedulers, and AI-assisted protocol generation

Lab Topics:

  • Deck setup, tip handling, and a colored-dye serial dilution — on all three instruments
  • Accuracy and precision challenge: quantifying your own pipetting error by plate reader
  • Combinatorial media screen in simulated wastewater — automated setup, readout, and analysis
  • Sample normalization and cherrypicking from a self-designed plate map
  • Automated UBE3A ubiquitination assay — Opentrons Flex and OT-2, head to head
  • Capstone: design (undergraduate) or execute (graduate) a self-chosen automated protocol