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Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering

The advent of easy-to-use open source microcontrollers, off-the-shelf electronics and customizable manufacturing technologies has facilitated the development of inexpensive scientific devices and laboratory equipment. In this study, we describe an imaging system that integrates low-cost and open-sou...

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Autores principales: Nuñez, Isaac, Matute, Tamara, Herrera, Roberto, Keymer, Juan, Marzullo, Timothy, Rudge, Timothy, Federici, Fernán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5687719/
https://www.ncbi.nlm.nih.gov/pubmed/29140977
http://dx.doi.org/10.1371/journal.pone.0187163
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author Nuñez, Isaac
Matute, Tamara
Herrera, Roberto
Keymer, Juan
Marzullo, Timothy
Rudge, Timothy
Federici, Fernán
author_facet Nuñez, Isaac
Matute, Tamara
Herrera, Roberto
Keymer, Juan
Marzullo, Timothy
Rudge, Timothy
Federici, Fernán
author_sort Nuñez, Isaac
collection PubMed
description The advent of easy-to-use open source microcontrollers, off-the-shelf electronics and customizable manufacturing technologies has facilitated the development of inexpensive scientific devices and laboratory equipment. In this study, we describe an imaging system that integrates low-cost and open-source hardware, software and genetic resources. The multi-fluorescence imaging system consists of readily available 470 nm LEDs, a Raspberry Pi camera and a set of filters made with low cost acrylics. This device allows imaging in scales ranging from single colonies to entire plates. We developed a set of genetic components (e.g. promoters, coding sequences, terminators) and vectors following the standard framework of Golden Gate, which allowed the fabrication of genetic constructs in a combinatorial, low cost and robust manner. In order to provide simultaneous imaging of multiple wavelength signals, we screened a series of long stokes shift fluorescent proteins that could be combined with cyan/green fluorescent proteins. We found CyOFP1, mBeRFP and sfGFP to be the most compatible set for 3-channel fluorescent imaging. We developed open source Python code to operate the hardware to run time-lapse experiments with automated control of illumination and camera and a Python module to analyze data and extract meaningful biological information. To demonstrate the potential application of this integral system, we tested its performance on a diverse range of imaging assays often used in disciplines such as microbial ecology, microbiology and synthetic biology. We also assessed its potential use in a high school environment to teach biology, hardware design, optics, and programming. Together, these results demonstrate the successful integration of open source hardware, software, genetic resources and customizable manufacturing to obtain a powerful, low cost and robust system for education, scientific research and bioengineering. All the resources developed here are available under open source licenses.
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spelling pubmed-56877192017-11-30 Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering Nuñez, Isaac Matute, Tamara Herrera, Roberto Keymer, Juan Marzullo, Timothy Rudge, Timothy Federici, Fernán PLoS One Research Article The advent of easy-to-use open source microcontrollers, off-the-shelf electronics and customizable manufacturing technologies has facilitated the development of inexpensive scientific devices and laboratory equipment. In this study, we describe an imaging system that integrates low-cost and open-source hardware, software and genetic resources. The multi-fluorescence imaging system consists of readily available 470 nm LEDs, a Raspberry Pi camera and a set of filters made with low cost acrylics. This device allows imaging in scales ranging from single colonies to entire plates. We developed a set of genetic components (e.g. promoters, coding sequences, terminators) and vectors following the standard framework of Golden Gate, which allowed the fabrication of genetic constructs in a combinatorial, low cost and robust manner. In order to provide simultaneous imaging of multiple wavelength signals, we screened a series of long stokes shift fluorescent proteins that could be combined with cyan/green fluorescent proteins. We found CyOFP1, mBeRFP and sfGFP to be the most compatible set for 3-channel fluorescent imaging. We developed open source Python code to operate the hardware to run time-lapse experiments with automated control of illumination and camera and a Python module to analyze data and extract meaningful biological information. To demonstrate the potential application of this integral system, we tested its performance on a diverse range of imaging assays often used in disciplines such as microbial ecology, microbiology and synthetic biology. We also assessed its potential use in a high school environment to teach biology, hardware design, optics, and programming. Together, these results demonstrate the successful integration of open source hardware, software, genetic resources and customizable manufacturing to obtain a powerful, low cost and robust system for education, scientific research and bioengineering. All the resources developed here are available under open source licenses. Public Library of Science 2017-11-15 /pmc/articles/PMC5687719/ /pubmed/29140977 http://dx.doi.org/10.1371/journal.pone.0187163 Text en © 2017 Nuñez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nuñez, Isaac
Matute, Tamara
Herrera, Roberto
Keymer, Juan
Marzullo, Timothy
Rudge, Timothy
Federici, Fernán
Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering
title Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering
title_full Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering
title_fullStr Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering
title_full_unstemmed Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering
title_short Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering
title_sort low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5687719/
https://www.ncbi.nlm.nih.gov/pubmed/29140977
http://dx.doi.org/10.1371/journal.pone.0187163
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