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

Simple item page
dc.contributor.authorNúñez Quijada, Isaac Natán
dc.contributor.authorMatute Torres, Tamara Francisca
dc.contributor.authorHerrera, Roberto
dc.contributor.authorKeymer, Juan MI.
dc.contributor.authorMarzullo, Timothy
dc.contributor.authorRudge, Timothy
dc.contributor.authorFederici, Fernán
dc.date.accessioned2020-05-07T21:05:26Z
dc.date.available2020-05-07T21:05:26Z
dc.date.issued2017
dc.date.updated2020-05-07T14:47:59Z
dc.description.abstractThe 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.
dc.identifier.doi10.1371/journal.pone.0187163
dc.identifier.issn1932-6203
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0187163
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/28878
dc.issue.numeroNo. 11
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final21
dc.pagina.inicio1
dc.relation.isformatofPLoS ONE, vol.12, no. 11 (2017), 21 p.
dc.revistaPLoS ONEes_ES
dc.rightsacceso abierto
dc.subject.ddc570
dc.subject.deweyBiologíaes_ES
dc.subject.otherBiologíaes_ES
dc.subject.otherBioingenieríaes_ES
dc.subject.otherGenéticaes_ES
dc.titleLow cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineeringes_ES
dc.typeartículo
dc.volumenVol. 12
sipa.codpersvinculados186256
sipa.codpersvinculados93580
sipa.codpersvinculados1031921
sipa.codpersvinculados123357
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Low cost and open source multi-fluorescence.pdf
Size:
41.79 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de revistas