scholarly journals A low cost mobile phone dark-field microscope for nanoparticle-based quantitative studies

Author(s):  
Dali Sun ◽  
Ye Hu
Author(s):  
L.P.S.S.K. Dayananda ◽  
A. Narmilan ◽  
P. Pirapuraj

Background: Weather monitoring is an important aspect of crop cultivation for reducing economic loss while increasing productivity. Weather is the combination of current meteorological components, such as temperature, wind direction and speed, amount and kind of precipitation, sunshine hours and so on. The weather defines a time span ranging from a few hours to several days. The periodic or continuous surveillance or the analysis of the status of the atmosphere and the climate, including parameters such as temperature, moisture, wind velocity and barometric pressure, is known as weather monitoring. Because of the increased usage of the internet, weather monitoring has been upgraded to smart weather monitoring. The Internet of Things (IoT) is one of the new technology that can help with many precision farming operations. Smart weather monitoring is one of the precision agriculture technologies that use sensors to monitor correct weather. The main objective of the research is to design a smart weather monitoring and real-time alert system to overcome the issue of monitoring weather conditions in agricultural farms in order for farmers to make better decisions. Methods: Different sensors were used in this study to detect temperature and humidity, pressure, rain, light intensity, CO2 level, wind speed and direction in an agricultural farm and real time clock sensor was used to measured real time weather data. The major component of this system was an Arduino Uno microcontroller and the system ran according to a program written in the Arduino Uno software. Result: This is a low-cost smart weather monitoring system. This system’s output unit were a liquid crystal display and a GSM900A module. The weather data was displayed on a liquid crystal display and the GSM900A module was used to send the data to a mobile phone. This smart weather station was used to monitor real-time weather conditions while sending weather information to the farmer’s mobile phone, allowing him to make better decisions to increase yield.


2015 ◽  
Vol 9 (4) ◽  
Author(s):  
Liting Yi ◽  
Jingjing Li ◽  
Cangran Guo ◽  
Lei Li ◽  
Jing Liu

Pervasive detection of blood glucose is rather critical for the real-time disease diagnosis which would provide valuable guidance for treatment planning. Here, we established a health care platform for this purpose through incorporating the glucose detection with liquid metal printed sensor and the smart phone monitoring system together. The liquid metal ink composed of bismuth indium stannic (BIS) alloy was identified as an appropriate sensor material to be quickly written or printed on polyvinyl chloride (PVC) substrate at around 59 °C to form desired electrodes. It thus eliminated the complicated procedures as usually required in conventional sensor fabrication strategies. The alloy electrodes were characterized via cyclic voltammetry to demonstrate their practical functionality. Further, unlike using the commonly adopted glucometer, a smart phone was developed as the data acquisition and display center to help improve the portability and ubiquitous virtue of the detection system. Glucose solution in different concentrations was assayed via this platform. It was shown that there is a good linear relationship between the concentration and the integral value of the curve recorded by the mobile phone, which confirms the feasibility of the present method. This quantitative point-of-care system has pervasive feature and is expected to be very useful for future low-cost electrochemical detection.


Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1984 ◽  
Author(s):  
Thanda Thatoe Nwe Win ◽  
Thom Bogaard ◽  
Nick van de Giesen

Newly developed mobile phone applications in combination with citizen science are used in different fields of research, such as public health monitoring, environmental monitoring, precipitation monitoring, noise pollution measurement and mapping, earth observation. In this paper, we present a low-cost water quality mobile phone measurement technique combined with sensor and test strips, and reported the weekly-collected data of three years of the Ayeyarwady River system by volunteers at seven locations and compared these results with the measurements collected by the lab technicians. We assessed the quality of the collected data and their reliability based on several indicators, such as data accuracy, consistency, and completeness. In this study, six local governmental staffs and one middle school teacher collected baseline water quality data with high temporal and spatial resolution. The quality of the data collected by volunteers was comparable to the data of the experienced lab technicians for sensor-based measurement of electrical conductivity and transparency. However, the lower accuracy (higher uncertainty range) of the indicator strips made them less useful in the Ayeyarwady with its relatively small water quality variations. We showed that participatory water quality monitoring in Myanmar can be a serious alternative for a more classical water sampling and lab analysis-based monitoring network, particularly as it results in much higher spatial and temporal resolution of water quality information against the very modest investment and running costs. This approach can help solving the invisible water crisis of unknown water quality (changes) in river and lake systems all over the world.


Author(s):  
A. Al-Koukh ◽  
J. Zbitou ◽  
L. El Abdellaoui ◽  
N. Ababssi ◽  
A. Tribak ◽  
...  

Lab on a Chip ◽  
2016 ◽  
Vol 16 (11) ◽  
pp. 2069-2078 ◽  
Author(s):  
Gennifer T. Smith ◽  
Nicholas Dwork ◽  
Saara A. Khan ◽  
Matthew Millet ◽  
Kiran Magar ◽  
...  

A reusable manifold and companion software for dipstick urinalysis that eliminates many aspects that are plagued by user error.


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


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Joshua Matthews ◽  
Manisha Bhatia ◽  
Seno Saruni ◽  
JoAnna L. Hunter-Squires

Background/Objective: Due to a geographic shortage of surgical providers within Kenya, doctors without surgical training are expected to complete emergency surgical procedures. The Academic Model Providing Access to Healthcare (AMPATH) surgical team is developing an education module, delivered via mobile phone app and self-made simulators, dedicated to the skills necessary to complete open appendectomy. We hypothesize that our model and curriculum will provide a low-cost method of effectively simulating the open appendectomy.   Methods: After developing a step-based curriculum, an initial prototype of a model for the appendectomy was constructed. Expert academic surgeons from Indiana University were identified to test the prototype by performing an open appendectomy on the model. Feedback on both the model and the procedure was obtained via recorded video and REDCap. Results: A total of 8 expert surgeons were consulted on the model, each presented with an updated version of the appendectomy model and procedure based on feedback. Experts provided feedback on the model and each substep of the curriculum. Overall, the curriculum was clear with each substep receiving a median score of at least 82 out of 100 for clarity. While the model received lower scores in utility and “realism, expert feedback was incorporated in an iterative process such that latter models demonstrated net improvement in the realism and utility of several substeps, including “the appendectomy”. Conclusion: A low-cost appendectomy model with corresponding curriculum was developed, and refined with expert feedback, to facilitate this project’s transition to its next stage – testing on medical trainees. Additionally, the model and curriculum will enable the development of an AI algorithm to give the learner real-time feedback as they perform the simulation. Implications: Ultimately, this study may create a platform that increases access to best possible practice and improves outcomes in settings where surgical education is limited.


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