The 100 € lab: A 3-D printable open source platform for fluorescence microscopy, optogenetics and accurate temperature control during behaviour of zebrafish,<i>Drosophila</i>and<i>C. elegans</i>

Chagas, André Maia; Godino, Lucia Prieto; Arrenberg, Aristides B.; Baden, Tom

doi:10.1101/122812

Cited by 10 publications

(3 citation statements)

References 31 publications

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“…This would also allow increasing the image resolution from 5Mp to 8Mp. Our modular design approach will also help in accommodating further improvements such as multi-wavelength LED fast multicolor illumination switching [36], temperature control, or automated focus control [26].…”

Section: Distinguishing Multiple Fluorescent Proteins From Rgb Colomentioning

confidence: 99%

“…[16 -20]). Some of these include advanced features such as light-sheet illumination [21 , 22], two photon scanning [23], a motorized stage [24,25], optogenetic stimulation [26], cell phone adaptability (e.g. [27 -31]), wireless connectivity [32], and cost as little as US$1 [33].…”

Section: Introductionmentioning

confidence: 99%

“…Open source devices for in vivo fluorescence imaging of whole organisms and cell populations are of special interest for spatio-temporal studies [26,34,35]. Fluorescence imaging has traditionally relied on broad-spectrum illumination systems, such as mercury lamps, that require channel separation for multicolor imaging.…”

Section: Introductionmentioning

confidence: 99%

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

Núñez

Matute

Herrera

et al. 2017

Preprint

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(FF) ¶ These authors contributed equally to this work. 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 for STEM teaching in a high school environment, using it 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 STEM education, scientific research and bioengineering. All the resources developed here are available under open source licenses.

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Section: Distinguishing Multiple Fluorescent Proteins From Rgb Colomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Núñez

Matute

Herrera

et al. 2017

Preprint

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Phenotyping of Drosophila Melanogaster—A Nutritional Perspective

et al. 2022

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The model organism Drosophila melanogaster was increasingly applied in nutrition research in recent years. A range of methods are available for the phenotyping of D. melanogaster, which are outlined in the first part of this review. The methods include determinations of body weight, body composition, food intake, lifespan, locomotor activity, reproductive capacity and stress tolerance. In the second part, the practical application of the phenotyping of flies is demonstrated via a discussion of obese phenotypes in response to high-sugar diet (HSD) and high-fat diet (HFD) feeding. HSD feeding and HFD feeding are dietary interventions that lead to an increase in fat storage and affect carbohydrate-insulin homeostasis, lifespan, locomotor activity, reproductive capacity and stress tolerance. Furthermore, studies regarding the impacts of HSD and HFD on the transcriptome and metabolome of D. melanogaster are important for relating phenotypic changes to underlying molecular mechanisms. Overall, D. melanogaster was demonstrated to be a valuable model organism with which to examine the pathogeneses and underlying molecular mechanisms of common chronic metabolic diseases in a nutritional context.

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Open Hardware for Microfluidics: Exploiting Raspberry Pi Singleboard Computer and Camera Systems for Customisable Laboratory Instrumentation

Sarıyer,

Edwards,

Needs

2023

Biosensors

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The integration of Raspberry Pi miniature computer systems with microfluidics has revolutionised the development of low-cost and customizable analytical systems in life science laboratories. This review explores the applications of Raspberry Pi in microfluidics, with a focus on imaging, including microscopy and automated image capture. By leveraging the low cost, flexibility and accessibility of Raspberry Pi components, high-resolution imaging and analysis have been achieved in direct mammalian and bacterial cellular imaging and a plethora of image-based biochemical and molecular assays, from immunoassays, through microbial growth, to nucleic acid methods such as real-time-qPCR. The control of image capture permitted by Raspberry Pi hardware can also be combined with onboard image analysis. Open-source hardware offers an opportunity to develop complex laboratory instrumentation systems at a fraction of the cost of commercial equipment and, importantly, offers an opportunity for complete customisation to meet the users’ needs. However, these benefits come with a trade-off: challenges remain for those wishing to incorporate open-source hardware equipment in their own work, including requirements for construction and operator skill, the need for good documentation and the availability of rapid prototyping such as 3D printing plus other components. These advances in open-source hardware have the potential to improve the efficiency, accessibility, and cost-effectiveness of microfluidic-based experiments and applications.

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The 100 € lab: A 3-D printable open source platform for fluorescence microscopy, optogenetics and accurate temperature control during behaviour of zebrafish,DrosophilaandC. elegans

Cited by 10 publications

References 31 publications

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

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

Phenotyping of Drosophila Melanogaster—A Nutritional Perspective

Open Hardware for Microfluidics: Exploiting Raspberry Pi Singleboard Computer and Camera Systems for Customisable Laboratory Instrumentation

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