Multifunction fluorescence open source in vivo/in vitro imaging system (openIVIS)

PLoS One. 2024 Mar 18;19(3):e0299875. doi: 10.1371/journal.pone.0299875. eCollection 2024.

Abstract

The widespread availability and diversity of open-source microcontrollers paired with off-the-shelf electronics and 3D printed technology has led to the creation of a wide range of low-cost scientific instruments, including microscopes, spectrometers, sensors, data loggers, and other tools that can be used for research, education, and experimentation. These devices can be used to explore a wide range of scientific topics, from biology and chemistry to physics and engineering. In this study, we designed and built a multifunction fluorescent open source in vivo/in vitro imaging system (openIVIS) system that integrates a Raspberry Pi with commercial cameras and LEDs with 3D printed structures combined with an acrylic housing. Our openIVIS provides three excitation wavelengths of 460 nm, 520 nm, and 630 nm integrated with Python control software to enable fluorescent measurements across the full visible light spectrum. To demonstrate the potential applications of our system, we tested its performance against a diverse set of experiments including laboratory assays (measuring fluorescent dyes, using optical nanosensors, and DNA gel electrophoresis) to potentially fieldable applications (plant and mineral imaging). We also tested the potential use for a high school biology environment by imaging small animals and tracking their development over the course of ten days. Our system demonstrated its ability to measure a wide dynamic range fluorescent response from millimolar to picomolar concentrations in the same sample while measuring responses across visible wavelengths. These results demonstrate the power and flexibility of open-source hardware and software and how it can be integrated with customizable manufacturing to create low-cost scientific instruments with a wide range of applications. Our study provides a promising model for the development of low-cost instruments that can be used in both research and education.

MeSH terms

  • Animals
  • Electronics*
  • Light
  • Microscopy*
  • Software
  • Technology

Grants and funding

This project has been made possible in part by grant numbers 2022-251273 to KJC and 2022-251322 to JB from the Chan Zuckerberg Initiative DAF, https://chanzuckerberg.com/, an advised fund of Silicon Valley Community Foundation, by the National Institutes of Health, https://www.nih.gov/, under Award Number R15GM140443 to KJC, and by The MITRE Corporation, https://www.mitre.org/, under their Advanced Graduate Degree Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.