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Related Experiment Video

Updated: May 11, 2026

Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring

Automated Production of Human Induced Pluripotent Stem Cell-Derived Cortical and Dopaminergic Neurons with Integrated Live-Cell Monitoring

Published on: August 6, 2020

PaR-PaR laboratory automation platform.

Gregory Linshiz¹, Nina Stawski, Sean Poust

¹Fuels Synthesis Division, Joint BioEnergy Institute , Emeryville, California 94608, United States.

ACS Synthetic Biology

|May 10, 2013

Summary

This summary is machine-generated.

Researchers developed Programming a Robot (PaR-PaR), a simple, biology-friendly language for automating complex DNA cloning tasks. This innovation significantly reduces the effort needed for robotic lab work, making advanced experiments accessible.

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Last Updated: May 11, 2026

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Published on: August 6, 2020

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Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT)

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Published on: December 18, 2020

Area of Science:

Biotechnology
Laboratory Automation
Bioinformatics

Background:

Complex biological tasks like DNA construction and cloning are labor-intensive and benefit from automation.
Successful integration of robotic equipment in biological labs requires flexible, user-friendly operation.
Existing methods for programming lab robots are often complex, hindering widespread adoption by biologists.

Purpose of the Study:

To develop a high-level, biology-friendly programming language for laboratory robots.
To simplify the operation of liquid-handling robots for complex biological workflows.
To enable biologists to independently program robotic systems with minimal training.

Main Methods:

Development of a novel programming language, "Programming a Robot" (PaR-PaR), with a syntax and compiler based on computer science principles.
Experimental validation of the PaR-PaR language in executing biological tasks.
Focus on creating a language that is intuitive for biologists with an understanding of biological workflows.

Main Results:

PaR-PaR enables effective utilization of liquid-handling robots for previously unfeasible experiments.
Biologists can independently write complex robotic protocols within an hour after minimal training.
The language facilitates the creation of sophisticated DNA construction and cloning protocols.

Conclusions:

PaR-PaR significantly lowers the barrier to entry for laboratory automation in biology.
Adoption of PaR-PaR can streamline and standardize robotic protocol development across research labs.
This programming language empowers biologists to leverage automation for advanced research capabilities.