scholarly journals An Open-Source Add-On EVOM® Device for Real-Time Transepithelial/Endothelial Electrical Resistance Measurements in Multiple Transwell Samples

Micromachines ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 282
Author(s):  
Bibek Raut ◽  
Li-Jiun Chen ◽  
Takeshi Hori ◽  
Hirokazu Kaji
Keyword(s):  
Open Source ◽  
Electrical Resistance ◽  
Low Cost ◽  
Large Data ◽  
Electrode Placement ◽  
Time Interval ◽  
Data Logger ◽  
Electronic Board ◽  
Digitally Controlled ◽  
Medium Change

This study provides design of a low-cost and open source add-on device that enhances the functionality of the popular EVOM® instrument for transepithelial/endothelial electrical resistance (TEER) measurement. The original EVOM® instrument is designed for measuring TEER in transwell samples manually using a pair of Ag/AgCl electrodes. The inconsistency in electrode placement, temperature variation, and a typically large (12–24 h) time interval between measurements result in large data variabilities. Thus, to solve the current limitation of the EVOM® instrument, we built an add-on device using a custom designed electronic board and a 3D printed electrode holder that allowed automated TEER measurements in multiple transwell samples. To demonstrate the functionality of the device prototype, we monitored TEER in 4 transwell samples containing retinal cells (ARPE-19) for 67 h. Furthermore, by monitoring temperature of the cell culture medium, we were able to detect fluctuations in TEER due to temperature change after the medium change process, and were able to correct the data offset. Although we demonstrated the use of our add-on device on EVOM® instrument only, the concept (multiplexing using digitally controlled relays) and hardware (custom data logger) presented here can be applied to more advanced TEER instruments to improve the performance of those devices.

Low-cost Open-source 12-channel MPPT Data Logger for Solar Cell Research

2021 ◽  
Author(s):  
Michael D. Kelzenberg ◽  
Samuel P. Loke ◽  
Harry A. Atwater
Keyword(s):  
Solar Cell ◽  
Open Source ◽  
Low Cost ◽  
Data Logger

scholarly journals Open-source Arduino-compatible data loggers designed for field research

2019 ◽  
Vol 23 (4) ◽  
pp. 2065-2076 ◽  
Author(s):  
Andrew D. Wickert ◽  
Chad T. Sandell ◽  
Bobby Schulz ◽  
Gene-Hua Crystal Ng
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Field Research ◽  
Environmental Sensors ◽  
Data Logger ◽  
Alkaline Batteries ◽  
Data Loggers ◽  
Open Source Data ◽  
Source Data ◽  
The Usa

Abstract. Automated electronic data loggers revolutionized environmental monitoring by enabling reliable high-frequency measurements. However, the potential to monitor the complex environmental interactions involved in global change has not been fully realized due to the high cost and lack of modularity of commercially available data loggers. Responding to this need, we developed the ALog (Arduino logger) series of three open-source data loggers, based on the popular and easy-to-program Arduino microcontroller platform. ALog data loggers are low cost, lightweight, and low power; they function between −30 and +60 ∘C, can be powered by readily available alkaline batteries, and can store up to 32 GB of data locally. They are compatible with standard environmental sensors, and the ALog firmware library may be expanded to add additional sensor support. The ALog has measured parameters linked to weather, streamflow, and glacier melt during deployments of days to years at field sites in the USA, Canada, Argentina, and Ecuador. The result of this work is a robust and field-tested open-source data logger that is the direct descendant of dozens of individuals' contributions to the growing open-source electronics movement.

scholarly journals A Low-Cost, Open Source Monitoring System for Collecting High Temporal Resolution Water Use Data on Magnetically Driven Residential Water Meters

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3655 ◽  
Author(s):  
Camilo J. Bastidas Pacheco ◽  
Jeffery S. Horsburgh ◽  
Robb J. Tracy
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
Water Use ◽  
Temporal Resolution ◽  
Low Cost ◽  
High Temporal Resolution ◽  
Time Interval ◽  
Residential Water Use ◽  
Water Meters ◽  
Residential Water

We present a low-cost (≈$150) monitoring system for collecting high temporal resolution residential water use data without disrupting the operation of commonly available water meters. This system was designed for installation on top of analog, magnetically driven, positive displacement, residential water meters and can collect data at a variable time resolution interval. The system couples an Arduino Pro microcontroller board, a datalogging shield customized for this specific application, and a magnetometer sensor. The system was developed and calibrated at the Utah Water Research Laboratory and was deployed for testing on five single family residences in Logan and Providence, Utah, for a period of over 1 month. Battery life for the device was estimated to be over 5 weeks with continuous data collection at a 4 s time interval. Data collected using this system, under ideal installation conditions, was within 2% of the volume recorded by the register of the meter on which they were installed. Results from field deployments are presented to demonstrate the accuracy, functionality, and applicability of the system. Results indicate that the device is capable of collecting data at a temporal resolution sufficient for identifying individual water use events and analyzing water use at coarser temporal resolutions. This system is of special interest for water end use studies, future projections of residential water use, water infrastructure design, and for advancing our understanding of water use timing and behavior. The system’s hardware design and software are open source, are available for potential reuse, and can be customized for specific research needs.

scholarly journals Low Cost High Altitude Automatic Weather Station Design

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Khaled M Dadesh ◽  
Saif M Ben Rhouma
Keyword(s):  
Wind Speed ◽  
High Altitude ◽  
Open Source ◽  
Meteorological Data ◽  
Low Cost ◽  
Real Data ◽  
Data Logger ◽  
Wind Speed Data ◽  
Resource Data ◽  
Wind Resource

When looking at installing a renewable energy generator, you need to be confident of the resource (solar, wind) at your particular location as this affects the energy generated at the selected site. With solar photovoltaic (PV) systems, this can be done by looking at historic data, generally from satellite readings, for the particular latitude. This will yield pretty accurate resource data. However, the wind resource is incredibly variable and depends upon the exact topology of the area. Houses, trees, and valleys all can affect the local wind resource. For this reason, wind speed data is collected at a potential wind turbine installation site. This gives real data which can be used to assess the wind speed. When installing a number of very expensive large wind turbines, one must be very confident about the wind speed data. The data must be robust and reliable and the developer will be willing to spend a lot of money on accurate industrial equipment to have lots of confidence in the data. This project intends to overcome this barrier by providing a low-cost, reusable, open-source wind speed recording unit, which can be left at high altitude in a remote location to record data and help improve the site’s wind speed assessment. We have proposed and developed a low-cost hardware module based on Arduino open source platform, which measures the meteorological data, including air, temperature, relative humidity, wind speed and solar radiation, with two options: The first is the wireless option at which it sends the measured information to Excel spreadsheet running on a PC through wireless link. The second is the data logger option at which it records the measured data to SD card as Excel file with date and time every 10 seconds..

scholarly journals A low-cost, open-source autonomous surface vehicle as a multipurpose waste stabilization pond monitoring platform

2018 ◽  
Vol 9 (1) ◽  
pp. 172-180
Author(s):  
A. Cuppens ◽  
G. Menesse ◽  
E. Caligaris ◽  
O. Marecos ◽  
G. Wyseure
Keyword(s):  
Open Source ◽  
Autonomous Navigation ◽  
Low Cost ◽  
Construction Materials ◽  
Working Environment ◽  
Monitoring Data ◽  
Data Logging ◽  
Data Logger ◽  
Autonomous Surface Vehicle ◽  
Waste Stabilization

Abstract Although waste stabilization ponds (WSPs) are widely used in developing countries, monitoring data on their operational performance are scarce. Traditional methods for monitoring in-pond conditions, i.e. conducting hand held measurements from a small boat or installing fixed sensor networks, are not straightforward to realize and create an unhealthy working environment for field workers. A promising technology for the safe and efficient collection of monitoring data is a compact autonomous surface vehicle (ASV), capable of autonomous navigation along a predefined trajectory based on geographic coordinates and measurements in different places and depths. In this practical paper, the development process, technical details and functional testing results of a low-cost ASV for WSP monitoring are presented. Commonly available construction materials and electronic components were used to ensure affordability and reparability. The access to online tutorials and peer-support was crucial for assembling the open-source autopilot and data logger. The ASV demonstrated satisfactory performance for both the autonomous navigation as well as the georeferenced data logging of measurements at a real-scale WSP in Paraguay. This study demonstrates how the adoption of open-source hardware and software offers the flexibility for the wastewater professionals to develop customized DIY solutions for specific monitoring applications and working environments.

scholarly journals Low-Cost Open-Source Voltage and Current Monitor for Gas Metal Arc Weld 3D Printing

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
A. Pinar ◽  
B. Wijnen ◽  
G. C. Anzalone ◽  
T. C. Havens ◽  
P. G. Sanders ◽  
...  
Keyword(s):  
3D Printing ◽  
Open Source ◽  
Low Cost ◽  
Power Measurement ◽  
Sensor System ◽  
Data Logger ◽  
Source Power ◽  
Entry Level ◽  
Sensor Applications ◽  
3D Printers

Arduino open-source microcontrollers are well known in sensor applications for scientific equipment and for controlling RepRap 3D printers. Recently low-cost open-source gas metal arc weld (GMAW) RepRap 3D printers have been developed. The entry-level welders used have minimal controls and therefore lack any real-time measurement of welder voltage or current. The preliminary work on process optimization of GMAW 3D printers requires a low-cost sensor and data logger system to measure welder current and voltage. This paper reports on the development of a low-cost open-source power measurement sensor system based on Arduino architecture. The sensor system was designed, built, and tested with two entry-level MIG welders. The full bill of materials and open source designs are provided. Voltage and current were measured while making stepwise adjustments to the manual voltage setting on the welder. Three conditions were tested while welding with steel and aluminum wire on steel substrates to assess the role of electrode material, shield gas, and welding velocity. The results showed that the open source sensor circuit performed as designed and could be constructed for <$100 in components representing a significant potential value through lateral scaling and replication in the 3D printing community.

scholarly journals An Open-Source, Durable, and Low-Cost Alternative to Commercially Available Soil Temperature Data Loggers

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 148
Author(s):  
Salvatore R. Curasi ◽  
Ian Klupar ◽  
Michael M. Loranty ◽  
Adrian V. Rocha
Keyword(s):  
Soil Temperature ◽  
Open Source ◽  
Low Cost ◽  
Absolute Error ◽  
Temperature Data ◽  
Data Logger ◽  
Ecological Processes ◽  
Data Loggers ◽  
Soil Temperatures ◽  
Temperature Data Logger

Soil temperatures play an important role in determining the distribution and function of organisms. However, soil temperature is decoupled from air temperature and varies widely in space. Characterizing and predicting soil temperature requires large and expensive networks of data loggers. We developed an open-source soil temperature data logger and created online resources to ensure our design was accessible. We tested data loggers constructed by students, with little prior electronics experience, in the lab, and in the field in Alaska. The do-it-yourself (DIY) data logger was comparably accurate to a commercial system with a mean absolute error of 2% from −20–0 °C and 1% from 0–20 °C. They captured accurate soil temperature data and performed reliably in the field with less than 10% failing in the first year of deployment. The DIY loggers were ~1.7–7 times less expensive than commercial systems. This work has the potential to increase the spatial resolution of soil temperature monitoring and serve as a powerful educational tool. The DIY soil temperature data logger will reduce data collection costs and improve our understanding of species distributions and ecological processes. It also provides an educational resource to enhance STEM, accessibility, inclusivity, and engagement.

Rapid mapping accuracy assessment using low-cost UAV and open-source Structure from Motion

2020 ◽  
Vol 52 ◽  
pp. 55-61
Author(s):  
Ettore Potente ◽  
Cosimo Cagnazzo ◽  
Alessandro Deodati ◽  
Giuseppe Mastronuzzi
Keyword(s):  
Open Source ◽  
Structure From Motion ◽  
Accuracy Assessment ◽  
Low Cost ◽  
Mapping Accuracy ◽  
Rapid Mapping ◽  
Source Structure

PyDOSS: An open-source Python-based communicable disease outbreak surveillance system designed and used in a COVID-19 community care facility (Preprint)

2020 ◽  
Author(s):  
Andrew Fang ◽  
Jonathan Kia-Sheng Phua ◽  
Terrence Chiew ◽  
Daniel De-Liang Loh ◽  
Lincoln Ming Han Liow ◽  
...  
Keyword(s):  
Open Source ◽  
Surveillance System ◽  
Community Care ◽  
Communicable Disease ◽  
Low Cost ◽  
Real Life ◽  
Disease Outbreak ◽  
Disease Spread ◽  
Healthcare Team ◽  
Increased Risk

BACKGROUND During the Coronavirus Disease 2019 (COVID-19) outbreak, community care facilities (CCF) were set up as temporary out-of-hospital isolation facilities to contain the surge of cases in Singapore. Confined living spaces within CCFs posed an increased risk of communicable disease spread among residents. OBJECTIVE This inspired our healthcare team managing a CCF operation to design a low-cost communicable disease outbreak surveillance system (CDOSS). METHODS Our CDOSS was designed with the following considerations: (1) comprehensiveness, (2) efficiency through passive reconnoitering from electronic medical record (EMR) data, (3) ability to provide spatiotemporal insights, (4) low-cost and (5) ease of use. We used Python to develop a lightweight application – Python-based Communicable Disease Outbreak Surveillance System (PyDOSS) – that was able perform syndromic surveillance and fever monitoring. With minimal user actions, its data pipeline would generate daily control charts and geospatial heat maps of cases from raw EMR data and logged vital signs. PyDOSS was successfully implemented as part of our CCF workflow. We also simulated a gastroenteritis (GE) outbreak to test the effectiveness of the system. RESULTS PyDOSS was used throughout the entire duration of operation; the output was reviewed daily by senior management. No disease outbreaks were identified during our medical operation. In the simulated GE outbreak, PyDOSS was able to effectively detect an outbreak within 24 hours and provided information about cluster progression which could aid in contact tracing. The code for a stock version of PyDOSS has been made publicly available. CONCLUSIONS PyDOSS is an effective surveillance system which was successfully implemented in a real-life medical operation. With the system developed using open-source technology and the code made freely available, it significantly reduces the cost of developing and operating CDOSS and may be useful for similar temporary medical operations, or in resource-limited settings.

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