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Building a "Hello World" for self-driving labs: The Closed-loop Spectroscopy Lab Light-mixing demo.

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  • 1Materials Science & Engineering Department, University of Utah, Salt Lake City, UT 84108, USA.

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Summary
This summary is machine-generated.

Build an affordable Closed-loop Spectroscopy Lab (CLSLab:Light) for color matching using RGB LEDs and a light sensor. This tutorial details setup, software, and an optimization algorithm comparison for under $100 and an hour.

Keywords:
ChemistryComputer sciencesHigh Throughput ScreeningMaterial sciences

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Area of Science:

  • Spectroscopy
  • Optical Engineering
  • Educational Laboratories

Background:

  • Traditional spectroscopy labs can be expensive and time-consuming to set up.
  • There is a need for accessible, low-cost experimental setups for color matching and optical experiments.
  • DIY approaches can democratize scientific instrumentation.

Purpose of the Study:

  • To provide a step-by-step guide for building a functional Closed-loop Spectroscopy Lab: Light-mixing demo (CLSLab:Light).
  • To demonstrate color matching using readily available components like RGB LEDs and a light sensor.
  • To achieve a low-cost (<$100) and quick (<1 hour setup) experimental setup.

Main Methods:

  • Utilized a Pico W microcontroller with MicroPython firmware for control.
  • Implemented secure IoT-style communication using MQTT protocol.
  • Developed a Python package (self-driving-lab-demo) for data acquisition and control.
  • Integrated RGB LEDs for light generation and a light sensor for feedback.
  • Included an optimization algorithm comparison tutorial.

Main Results:

  • Successfully demonstrated a functional CLSLab:Light system for color matching.
  • Achieved setup in under one hour and a total cost under $100.
  • Validated the use of secure IoT communication for lab automation.
  • Provided a comprehensive tutorial including parts ordering, software setup, and testing.

Conclusions:

  • The CLSLab:Light system offers a cost-effective and rapid solution for hands-on spectroscopy education.
  • This DIY approach makes advanced optical experiments, like color matching, accessible to a wider audience.
  • The integration of MicroPython, MQTT, and Python enables flexible and secure control of the experimental setup.