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

Learn how to build a Closed-loop Spectroscopy Lab: Light-mixing demo (CLSLab:Light) to perform color matching via RGB LEDs and a light sensor for under 100 USD and less than an hour of setup. Our tutorial covers ordering parts, verifying prerequisites, software setup, sensor mounting, testing, and a...

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Vydáno v:STAR protocols Ročník 4; číslo 2; s. 102329
Hlavní autoři: Baird, Sterling G., Sparks, Taylor D.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 16.06.2023
Elsevier
Témata:
Chemistry
Computer sciences
High Throughput Screening
Material sciences
Protocol
High Throughput Screening
Material sciences
Chemistry
Computer sciences
ISSN:2666-1667, 2666-1667
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Shrnutí:Learn how to build a Closed-loop Spectroscopy Lab: Light-mixing demo (CLSLab:Light) to perform color matching via RGB LEDs and a light sensor for under 100 USD and less than an hour of setup. Our tutorial covers ordering parts, verifying prerequisites, software setup, sensor mounting, testing, and an optimization algorithm comparison tutorial. We use secure IoT-style communication via MQTT, MicroPython firmware on a pre-soldered Pico W microcontroller, and the self-driving-lab-demo Python package. A video tutorial is available at https://youtu.be/D54yfxRSY6s. For complete details on the use and execution of this protocol, please refer to Baird et al.1 [Display omitted] •Learn self-driving laboratories and lab automation with a simple demo•Use in hands-on classroom settings and as an example for public outreach•Use as a prototyping tool for research applications and self-driving lab concepts•Accompanied by a video build tutorial on YouTube Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Learn how to build a Closed-loop Spectroscopy Lab: Light-mixing Demo (CLSLab:Light) to perform color matching via RGB LEDs and a light sensor for under 100 USD and less than an hour of setup. Our tutorial covers ordering parts, verifying prerequisites, software setup, sensor mounting, testing, and an optimization algorithm comparison tutorial. We use secure IoT-style communication via MQTT, MicroPython firmware on a pre-soldered Pico W microcontroller, and the self-driving-lab-demo Python package. A video tutorial is available at https://youtu.be/D54yfxRSY6s.
Bibliografie:ObjectType-Article-1
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ISSN:2666-1667
2666-1667
DOI:10.1016/j.xpro.2023.102329