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

PLoS ONE ◽  
2017 ◽  
Vol 12 (11) ◽  
pp. e0187163 ◽  
Author(s):  
Isaac Nuñez ◽  
Tamara Matute ◽  
Roberto Herrera ◽  
Juan Keymer ◽  
Timothy Marzullo ◽  
...  
2020 ◽  
Author(s):  
Matthew Wincott ◽  
Andrew Jefferson ◽  
Ian M. Dobbie ◽  
Martin J. Booth ◽  
Ilan Davis ◽  
...  

ABSTRACTCommercial fluorescence microscope stands and fully automated XYZt fluorescence imaging systems are generally beyond the limited budgets available for teaching and outreach. We have addressed this problem by developing “Microscopi”, an accessible, affordable, DIY automated imaging system that is built from 3D printed and commodity off-the-shelf hardware, including electro-mechanical, computer and optical components. Our design features automated sample navigation and image capture with a simple web-based graphical user interface, accessible with a tablet or other mobile device. The light path can easily be switched between different imaging modalities. The open source Python-based control software allows the hardware to be driven as an integrated imaging system. Furthermore, the microscope is fully customisable, which also enhances its value as a learning tool. Here, we describe the basic design and demonstrate imaging performance for a range of easily sourced specimens.HighlightsPortable, low cost, self-build from 3D printed and commodity componentsMultimodal imaging: bright field, dark field, pseudo-phase and fluorescenceAutomated XYZt imaging from a tablet or smartphone via a simple GUIWide ranging applications in teaching, outreach and fieldworkOpen source hardware and software design, allowing user modification


2017 ◽  
Author(s):  
Nuñez Isaac ◽  
Matute Tamara ◽  
Herrera Roberto ◽  
Keymer Juan ◽  
Marzullo Tim ◽  
...  

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.


2019 ◽  
Vol 31 (2) ◽  
pp. 279-284 ◽  
Author(s):  
Ahmed Mansour ◽  
Toshiki Endo ◽  
Tomoo Inoue ◽  
Kenichi Sato ◽  
Hidenori Endo ◽  
...  

The authors report the case of a 78-year-old man with a craniocervical junction epidural arteriovenous fistula who presented with subarachnoid hemorrhage from a ruptured anterior spinal artery (ASA) aneurysm. Because endovascular embolization was difficult, a posterolateral approach was chosen and a novel endoscopic fluorescence imaging system was utilized to clip the aneurysm. The fluorescence imaging system provided clear and magnified views of the ventral spinal cord simultaneously with the endoscope-integrated indocyanine green videoangiography, which helped safely obliterate the ASA aneurysm. With the aid of this novel imaging system, surgeons can appreciate and manipulate complex vascular pathologies of the ventral spinal cord through a posterolateral approach, even when the lesion is closely related to the ASA.


2014 ◽  
Vol 106 (2) ◽  
pp. 400a
Author(s):  
Sohail Jahid ◽  
Alexander S. Dvornikov ◽  
Michelle Digman ◽  
Enrico Gratton

2013 ◽  
Vol 77 (5) ◽  
pp. AB553
Author(s):  
Hiroko Inomata ◽  
Naoto Tamai ◽  
Daisuke Ide ◽  
Tomohiko R. Ohya ◽  
Hiroyuki Aihara ◽  
...  

2006 ◽  
Vol 11 (1) ◽  
pp. 014007 ◽  
Author(s):  
Alec M. De Grand ◽  
Stephen J. Lomnes ◽  
Deborah S. Lee ◽  
Matthew Pietrzykowski ◽  
Shunsuke Ohnishi ◽  
...  

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