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{"Abstract":["This repository contains the instructions/code/files for the study "A User's Guide to Your First Self-Driving Liquid Handling Lab". This project repository pertains to the assembly and operations of a Pen Plotter Driven Liquid Handler and Pipette Driven Liquid Handler, as well as a collection of hands-on tutorial notebooks for active learning. Both devices are designed as low-cost automation tools to produce SDLs. The pen plotter-driven liquid handler is created using rigid pre-built spatial components that are modified to fit a user-developed fluidic system. The pipette-driven liquid handler is designed using modular components to provide the most flexibility, paired with a wireless autopipette.In addition to hardware documentation, this repository includes a representative dataset generated using the SDL pipeline implemented here. The dataset was produced fully autonomously, and is used as an example to demonstrate how the design-build-test-learn (DBTL) workflow operates in practice, from experimental design through surrogate model training. We use the optimization of a glucose oxidase (GOx) enzyme assay, which are common in wet-lab environments and is well suited as a representative example."]} 

To contribute towards the democratization of self-driving laboratories, we created a foundation-level guide focusing on Bayesian optimization driven experimentation and low-cost open-source automated liquid handlers.