2017
DOI: 10.1038/544125a
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The DIY electronics transforming research

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Cited by 64 publications
(50 citation statements)
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“…Affordability and portability in fluorescence microscopy has been accomplished by retrofitting optical elements (objectives, filters, LEDS, lasers, lenses, mirrors) and 3D-printed parts to smartphones cameras [3,5,1113]. However, smartphones, although extremely powerful and unique, are difficult to reconfigure and take apart [14]; evolve at a rapid pace which may render them obsolete; constant software updates on the operating systems may disrupt their performance [15]; their size hampers further miniaturization and interferes in the integration with other additaments or sensors; and are not optimized for long-term biological experimentation [16]. A different approach has been to use regular cameras (webcams or digital cameras) placed in a framework made of plastic parts, metallic hardware, and 3D-printed parts [5,6,16,17]; however, in some cases, the complexity of their designs encumbers downstream integration with other 3D printed parts and the amount of pieces needed to put it together may be overwhelming for a newcomer or for technologists trying to develop affordable instrumentation in low-resource settings.…”
Section: Introductionmentioning
confidence: 99%
“…Affordability and portability in fluorescence microscopy has been accomplished by retrofitting optical elements (objectives, filters, LEDS, lasers, lenses, mirrors) and 3D-printed parts to smartphones cameras [3,5,1113]. However, smartphones, although extremely powerful and unique, are difficult to reconfigure and take apart [14]; evolve at a rapid pace which may render them obsolete; constant software updates on the operating systems may disrupt their performance [15]; their size hampers further miniaturization and interferes in the integration with other additaments or sensors; and are not optimized for long-term biological experimentation [16]. A different approach has been to use regular cameras (webcams or digital cameras) placed in a framework made of plastic parts, metallic hardware, and 3D-printed parts [5,6,16,17]; however, in some cases, the complexity of their designs encumbers downstream integration with other 3D printed parts and the amount of pieces needed to put it together may be overwhelming for a newcomer or for technologists trying to develop affordable instrumentation in low-resource settings.…”
Section: Introductionmentioning
confidence: 99%
“…While, the miniaturization of PCR technologies currently allows in-field nucleic acid amplification, for both metagenetics and qPCR (Marx, 2015). These developments, coupled with easily programmable micro-computers (e.g., Raspberry Pi) (Cressey, 2017), bring the intriguing prospect of fully automated, remote molecular biomonitoring closer to reality (Bohan et al, 2017;Jackson et al, 2016). This has the potential to provide faster identification of environmental perturbations, and thus quicker implementation of remedial actions, while at the same time reducing sample handling and storage issues that could influence microbial community composition (Lauber, Zhou, Gordon, Knight, & Fierer, 2010;Rochelle, Cragg, Fry, Parkes, & Weightman, 1994).…”
Section: The Future Of Molecular Microbial Ecologymentioning
confidence: 99%
“…Conversely, automated cell growth systems can maintain constant growth rates under precisely defined conditions, but are difficult to parallelize due to cost, space-inefficiency, and design complexity [16][17][18] . A recent convergence of several open-source technologies-inexpensive additive manufacturing, do-it-yourself (DIY) software/hardware interface, and cloud computinghas enabled the in-lab fabrication of new custom laboratory platforms [19][20][21][22] . Various examples in automated cell culture include devices designed to perform automated dilution routines for exploring antibiotic resistance acquisition 23 , or that implement design features such as real-time monitoring of bulk fluorescence 7 , light-based feedback control of synthetic gene circuits 24 , and chemostat parallelization 25 .…”
Section: Introductionmentioning
confidence: 99%