Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation
NIBIB - National Institute of Biomedical Imaging and Bioengineering
About This Grant
Abstract Laboratory automation is reshaping scientific discovery by enabling high-throughput, precise, and scalable experimentation. Yet, unlike fields such as manufacturing, transportation, and agriculture—where robotics has driven rapid advances in innovation—laboratory automation has lagged behind. Most commercial lab robots are still built to mimic human pipetting rather than enabling experiments that were previously impossible to execute manually. Closed, proprietary platforms prevent researchers from fully leveraging their computational skills and severely limit training opportunities for students and early-stage investigators. This project addresses those gaps by expanding PyLabRobot (PLR), a free, open-source, Python-based framework for designing, simulating, and executing complex liquid handling protocols across a wide range of robotic systems. PLR is software- and hardware-agnostic, supports complete virtual simulation, and can be run in the cloud, making it accessible to anyone with basic Python skills—no expensive equipment required. By enabling users to develop and debug protocols entirely in simulation, PLR allows students, educators, and researchers to build automation expertise before ever stepping into a physical lab. This significantly lowers the entry barrier and ensures that trainees enter the workforce ready to contribute immediately to automation-driven projects. Python’s ubiquity across STEM and engineering makes PLR a natural training tool for modern science. In a recent graduate-level class piloting PLR in full simulation mode, students with no prior robotics background programmed highly sophisticated workflows running from CRISPRi screening, AlphaLISA and TR-FRET assays, small molecule synthesis, FISH staining, and cell line manufacturing—demonstrating both the accessibility and real-world relevance of the platform. These examples highlight PLR’s potential not just to replicate existing workflows, but to unlock new experimental designs that would be infeasible with manual techniques. This R03 proposal supports three focused aims: (1) Create a web-based repository of validated, sharable protocols and documentation to enable reproducibility, benchmarking, and AI-driven method development; (2) Integrate PLR into cloud platforms like Google Colab and develop a dedicated IDE for real-time visualization, debugging, and seamless protocol execution; (3) Build a digital twin simulation engine that models labware, deck layouts, and liquid handling to support predictive optimization before execution. This project is supported by letters of support from the entire PyLabRobot development team and multiple industry stakeholders, including leading automation companies. By removing the barriers that have long constrained laboratory robotics programming, this work will accelerate discovery, lower costs, and build a highly skilled U.S. workforce ready to lead in bioengineering, automation, and advanced manufacturing.
Grant Summary
Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation is a NIBIB - National Institute of Biomedical Imaging and Bioengineering grant providing up to $78K for university, nonprofit, healthcare org. Applications are due 2028-07-31 (open). Check eligibility and apply with FindGrants.
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Focus Areas
Eligibility
How to Apply
Up to $78K
2028-07-31
- 1Confirm your organization is eligible for Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation from NIBIB - National Institute of Biomedical Imaging and Bioengineering, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIBIB - National Institute of Biomedical Imaging and Bioengineering before the deadline.
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Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation: Frequently Asked Questions
Who is eligible for the Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation?
Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation is offered by NIBIB - National Institute of Biomedical Imaging and Bioengineering and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation provide?
Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation provides up to $78K per award from NIBIB - National Institute of Biomedical Imaging and Bioengineering. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation deadline?
Applications for Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation are due 2028-07-31 (open). Because deadlines can change, verify the date with the funder, NIBIB - National Institute of Biomedical Imaging and Bioengineering, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation?
To apply for Enhancing PyLabRobot for Scalable and Accessible Open-Source Laboratory Automation, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIBIB - National Institute of Biomedical Imaging and Bioengineering.