pylabrobot

Lab automation equipment from different vendors is controlled through a vendor-agnostic Python framework that provides a unified interface. This framework abstracts backend differences, enabling programmatic control over diverse hardware like liquid handlers, plate readers, and centrifuges.

Yes, you can simulate liquid handling protocols before running them on hardware like an Opentrons OT-2. The framework provides simulation and visualization capabilities to test workflows virtually, ensuring protocols are validated prior to physical execution.

The best way to orchestrate complex laboratory workflows is by using a unified Python interface that supports equipment integration. This allows you to coordinate multi-step processes involving liquid transfers, incubation on a heater shaker, and subsequent plate reading.

Yes, pylabrobot works with Hamilton STAR liquid handlers. It provides resource management features to define deck layouts, manage plates, handle tips, and orchestrate liquid handling tasks through backend abstraction.

Multi-step sample preparation protocols are automated by programmatically controlling robots for pipetting, aspirating, and dispensing. The framework facilitates complex workflow orchestration and resource management to sequence these liquid handling operations.

Integration relies on backend abstraction to support specific devices like Hamilton STAR and Opentrons OT-2. Limitations depend on whether a backend exists for your specific scientific equipment, as the framework requires a compatible integration layer for each device.