pylabrobot

Automate liquid handling by writing protocols once in Python and deploying them across supported robots or simulation backends. This hardware-agnostic approach lets you script pipetting, serial dilutions, and equipment control uniformly without rewriting code for each device.

Manage deck state, labware coordinates, and tip tracking by programmatically assigning plates, tips, and troughs to a virtual deck. Python scripts maintain reproducible protocol state, tracking volumes and tip usage throughout the automated liquid handling workflow.

Simulate lab automation protocols using a simulation backend to validate pipetting sequences and deck operations before hardware execution. This simulation-first development catches errors in resource assignment and operational sequencing without consuming physical reagents or labware.

Integrate plate readers, incubators, centrifuges, scales, and heater shakers into automated workflows using the Python SDK. Multi-device automation coordinates these ancillary instruments alongside liquid handlers to execute end-to-end sample preparation and analysis protocols.

Script liquid transfers by initializing a liquid handler with a chosen backend, assigning resources to the deck, and defining source and destination well ranges. The Python code then executes aspirate and dispense operations to move volumes between the specified plate locations.

Specific backend configurations are required to run multi-device laboratory automation sequences. You must initialize appropriate Python backends for each target robot or device, ensuring the operational sequencing mirrors hardware constraints like coordinate systems and equipment control limits.