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Related Experiment Video

Updated: Jul 19, 2025

Author Spotlight: Advancing Optogenetics Research Using Lustro
03:26

Author Spotlight: Advancing Optogenetics Research Using Lustro

Published on: August 4, 2023

730

High-Throughput Optogenetics Experiments in Yeast Using the Automated Platform Lustro.

Zachary P Harmer1, Megan N McClean2

  • 1Department of Biomedical Engineering, University of Wisconsin-Madison.

Journal of Visualized Experiments : Jove
|August 17, 2023
PubMed
Summary
This summary is machine-generated.

We developed Lustro, an automated platform for high-throughput screening of optogenetic systems. This system combines light stimulation and laboratory automation to accelerate the optimization of optogenetic tools for gene expression control.

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Last Updated: Jul 19, 2025

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Area of Science:

  • Synthetic biology
  • Biotechnology
  • Molecular biology

Background:

  • Optogenetics enables precise control of cellular functions using light-sensitive proteins.
  • Optimizing optogenetic systems typically involves laborious and time-consuming design-build-test cycles.
  • High-throughput screening methods are needed to accelerate the development of novel optogenetic tools.

Purpose of the Study:

  • To present Lustro, a novel platform integrating laboratory automation and light stimulation for efficient optogenetic system characterization.
  • To provide a detailed protocol for utilizing Lustro in high-throughput screening of optogenetic systems.
  • To demonstrate the application of Lustro for optimizing gene expression control in Saccharomyces cerevisiae.

Main Methods:

  • Lustro utilizes an automation workstation with integrated illumination, shaking, and plate reading devices.
  • A robotic arm automates microwell plate movement between devices for sequential stimulation and measurement.
  • The protocol details the setup, component integration, and programming of Lustro for automated experimental workflows.

Main Results:

  • Lustro enables efficient high-throughput screening and characterization of optogenetic systems.
  • Automated workflows reduce the time and labor required for optogenetic system optimization.
  • The platform facilitates precise data acquisition for evaluating optogenetic system performance.

Conclusions:

  • Lustro significantly enhances the efficiency of developing and optimizing optogenetic tools.
  • Automated platforms like Lustro are crucial for advancing synthetic biology applications.
  • This protocol serves as a valuable resource for researchers working with optogenetics in yeast.