scholarly journals OpenWSI: a low-cost, high-throughput whole slide imaging system via single-frame autofocusing and open-source hardware

2019 ◽  
Vol 45 (1) ◽  
pp. 260 ◽  
Author(s):  
Chengfei Guo ◽  
Zichao Bian ◽  
Shaowei Jiang ◽  
Michael Murphy ◽  
Jiakai Zhu ◽  
...  
Keyword(s):  
Open Source ◽  
High Throughput ◽  
Imaging System ◽  
Low Cost ◽  
Whole Slide Imaging ◽  
Single Frame ◽  
Open Source Hardware

scholarly journals Democratising “Microscopi”: a 3D printed automated XYZT fluorescence imaging system for teaching, outreach and fieldwork

2020 ◽  
Author(s):  
Matthew Wincott ◽  
Andrew Jefferson ◽  
Ian M. Dobbie ◽  
Martin J. Booth ◽  
Ilan Davis ◽  
...  
Keyword(s):  
Open Source ◽  
Fluorescence Imaging ◽  
Imaging System ◽  
Low Cost ◽  
Dark Field ◽  
List Type ◽  
Image Capture ◽  
Fluorescence Imaging System ◽  
3D Printed ◽  
Open Source Hardware

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

scholarly journals An Open-Source Framework for Automated High-Throughput Cell Biology Experiments

2021 ◽  
Vol 9 ◽  
Author(s):  
Pavel Katunin ◽  
Jianbo Zhou ◽  
Ola M. Shehata ◽  
Andrew A. Peden ◽  
Ashley Cadby ◽  
...  
Keyword(s):  
Open Source ◽  
High Throughput ◽  
Cell Biology ◽  
Large Scale ◽  
Low Cost ◽  
Fluorescent Labeling ◽  
Open Source Framework ◽  
Open Source Hardware ◽  
High Degree ◽  
Data Analysis Methods

Modern data analysis methods, such as optimization algorithms or deep learning have been successfully applied to a number of biotechnological and medical questions. For these methods to be efficient, a large number of high-quality and reproducible experiments needs to be conducted, requiring a high degree of automation. Here, we present an open-source hardware and low-cost framework that allows for automatic high-throughput generation of large amounts of cell biology data. Our design consists of an epifluorescent microscope with automated XY stage for moving a multiwell plate containing cells and a perfusion manifold allowing programmed application of up to eight different solutions. Our system is very flexible and can be adapted easily for individual experimental needs. To demonstrate the utility of the system, we have used it to perform high-throughput Ca2+ imaging and large-scale fluorescent labeling experiments.

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

2017 ◽  
Author(s):  
Nuñez Isaac ◽  
Matute Tamara ◽  
Herrera Roberto ◽  
Keymer Juan ◽  
Marzullo Tim ◽  
...  
Keyword(s):  
Genetic Resources ◽  
Open Source ◽  
Fluorescence Imaging ◽  
Imaging System ◽  
Fluorescent Proteins ◽  
Low Cost ◽  
Fluorescent Imaging ◽  
Diverse Range ◽  
Fluorescence Imaging System ◽  
Open Source Hardware

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.

scholarly journals Computer Numerically Controlled Drawing Robot Based on Computer-Aided Design

2021 ◽  
Author(s):  
Antor Mahamudul Hashan ◽  
Abdullah Haidari ◽  
Srishti Saha ◽  
Titas Paul
Keyword(s):  
Open Source ◽  
Computer Aided Design ◽  
Low Cost ◽  
Rapid Development ◽  
Main Idea ◽  
Numerical Control ◽  
Computer Aided ◽  
Complex Circuits ◽  
Open Source Hardware ◽  
Aided Design

Due to the rapid development of technology, the use of numerically controlled machines in the industry is increasing. The main idea behind this paper is computer-aided design (CAD) based low-cost computer numerical control 2D drawing robot that can accurately draw complex circuits, diagrams, logos, etc. The system is created using open-source hardware and software, which makes it available at a low cost. The open-source LibreCAD application has been used for computer-aided design. Geometric data of a CAD model is converted to coordinate points using the python-based F-Engrave application. This system uses the Arduino UNO board as a signal generator of the universal g-code sender without compromising the performance. The proposed drawing robot is designed as a low-cost robot for educational purposes and aims to increase the student's interest in robotics and computer-aided design (CAD) skills to the next level. The drawing robot structure has been developed, and it meets the requirements of low cost with satisfactory experimental results.

scholarly journals micrIO: an open-source autosampler and fraction collector for automated microfluidic input–output

Lab on a Chip ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 93-106 ◽  
Author(s):  
Scott A. Longwell ◽  
Polly M. Fordyce
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Microfluidic Devices ◽  
Input Output ◽  
Fraction Collector ◽  
Open Source Hardware ◽  
Multiwell Plates

MicrIO is a low-cost, open-source hardware and software solution for automated sample input/output, bridging the gap between microfluidic devices and standard multiwell plates.

scholarly journals A LOW-COST OPEN SOURCE HARDWARE IN CONTROL EDUCATION. CASE STUDY: ARDUINO-FEEDBACK MS-150

2015 ◽  
Vol 48 (29) ◽  
pp. 117-122 ◽  
Author(s):  
P. Reguera ◽  
D. García ◽  
M. Domínguez ◽  
M.A. Prada ◽  
S. Alonso
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Control Education ◽  
Open Source Hardware
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