Feasibility Studies for a Low-Cost Computerized Diagnostic System for Modular Pulsed Electron Accelerators.

1978 ◽  
Author(s):  
D. Pellinen ◽  
S. Ashby
Keyword(s):  
Low Cost ◽  
Diagnostic System ◽  
Feasibility Studies ◽  
Electron Accelerators ◽  
Computerized Diagnostic System

Multi-Modal Diagnostics for Vehicle Fault Detection

2001 ◽  
Author(s):  
Matthew L. Schwall ◽  
J. Christian Gerdes
Keyword(s):  
Bayesian Network ◽  
Low Cost ◽  
Diagnostic System ◽  
Cost Models ◽  
Diagnostic Systems ◽  
Computationally Efficient ◽  
Analytical Redundancy ◽  
Hardware Costs ◽  
And Function ◽  
Viable Model

Abstract On-board vehicle diagnostic systems must have low development and hardware costs in order to be viable. Model-based methods have shown promise since they use analytical redundancy to reduce costly physical redundancy. However, these methods must also be computationally efficient and function accurately even with simple, low-cost models. The approach presented in this paper uses multiple simple models to analyze dissimilar observable modes of a system. Residuals generated using the models are related and interpreted in a Bayesian network to determine fault probabilities and yield a diagnosis. The technique is demonstrated with a diagnostic system for automobile handling.

A low‐cost, automated parasite diagnostic system via a portable, robotic microscope and deep learning

2019 ◽  
Vol 12 (9) ◽  
Author(s):  
Yaning Li ◽  
Rui Zheng ◽  
Yizhen Wu ◽  
Kaiqin Chu ◽  
Qianming Xu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Low Cost ◽  
Diagnostic System

scholarly journals Feasibility Study for a Chemical Process Particle Size Characterization System for Explosive Environments Using Low Laser Power

Micromachines ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 911
Author(s):  
Jesse Ross-Jones ◽  
Tobias Teumer ◽  
Susann Wunsch ◽  
Lukas Petri ◽  
Hermann Nirschl ◽  
...  
Keyword(s):  
Light Scattering ◽  
Low Cost ◽  
Particle Diameter ◽  
Feasibility Studies ◽  
Fast Response ◽  
The Novel ◽  
Micro Channels ◽  
Size Characterization ◽  
Novel Method ◽  
Particle Size Characterization

The industrial particle sensor market lacks simple, easy to use, low cost yet robust, safe and fast response solutions. Towards development of such a sensor, for in-line use in micro channels under continuous flow conditions, this work introduces static light scattering (SLS) determination of particle diameter using a laser with an emission power of less than 5 µW together with sensitive detectors with detection times of 1 ms. The measurements for the feasibility studies are made in an angular range between 20° and 160° in 2° increments. We focus on the range between 300 and 1000 nm, for applications in the production of paints, colors, pigments and crystallites. Due to the fast response time, reaction characteristics in microchannel designs for precipitation and crystallization processes can be studied. A novel method for particle diameter characterization is developed using the positions of maxima and minima and slope distribution. The novel algorithm to classify particle diameter is especially developed to be independent of dispersed phase concentration or concentration fluctuations like product flares or signal instability. Measurement signals are post processed and particle diameters are validated against Mie light scattering simulations. The design of a low cost instrument for industrial use is proposed.

scholarly journals System Architecture for IIoT-Based POC Molecular Diagnostic Device

2021 ◽  
Vol 6 (1) ◽  
pp. 60
Author(s):  
Byeong-Heon Kil ◽  
Ji-Seong Park ◽  
Chan-Young Park ◽  
Yu-Seop Kim ◽  
Jong-Dae Kim
Keyword(s):  
Point Of Care ◽  
Low Cost ◽  
Diagnostic System ◽  
Pcr Amplification ◽  
Dna Amplification ◽  
System Structure ◽  
World Health ◽  
Molecular Diagnostic ◽  
Target System ◽  
Open Platform

In this paper, we investigate an efficient structure for a point-of-care (POC) molecular diagnostic system based on the industrial Internet of things (IIoT). The target system can perform automated molecular diagnosis including DNA extraction, PCR amplification, and fluorescence detection. Samples and reagents are placed in a multi-room cartridge and loaded into the system. A rotating motor and a syringe motor control the cartridge to extract DNA from the sample. The extracted DNA is transferred to a polymerase chain reaction (PCR) chamber for DNA amplification and detection. The proposed system provides multiplexing of up to four colors. For POC molecular diagnostics, the World Health Organization demands features such as low volume, low cost, fast results, and a user-friendly interface. In this paper, we propose a system structure that can satisfy these requirements by using a PCR chip and open platform. A distributed structure is adopted for the convenience of maintenance, and a web-based GUI is adopted for the user’s convenience. We also investigated communication problems that may occur between system components. Using the proposed structure, the user can conveniently control from standard computing devices including a smartphone.

scholarly journals Classification of rat mammary carcinoma with large scale in vivo microwave measurements

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Emre Onemli ◽  
Sulayman Joof ◽  
Cemanur Aydinalp ◽  
Nural Pastacı Özsobacı ◽  
Fatma Ateş Alkan ◽  
...  
Keyword(s):  
Dielectric Properties ◽  
Mammary Carcinoma ◽  
Large Scale ◽  
New Technologies ◽  
Low Cost ◽  
Diagnostic System ◽  
Cancer Type ◽  
Normal Tissues ◽  
Linear Classifier

AbstractMammary carcinoma, breast cancer, is the most commonly diagnosed cancer type among women. Therefore, potential new technologies for the diagnosis and treatment of the disease are being investigated. One promising technique is microwave applications designed to exploit the inherent dielectric property discrepancy between the malignant and normal tissues. In theory, the anomalies can be characterized by simply measuring the dielectric properties. However, the current measurement technique is error-prone and a single measurement is not accurate enough to detect anomalies with high confidence. This work proposes to classify the rat mammary carcinoma, based on collected large-scale in vivo S$$_{11}$$ 11 measurements and corresponding tissue dielectric properties with a circular diffraction antenna. The tissues were classified with high accuracy in a reproducible way by leveraging a learning-based linear classifier. Moreover, the most discriminative S$$_{11}$$ 11 measurement was identified, and to our surprise, using the discriminative measurement along with a linear classifier an 86.92% accuracy was achieved. These findings suggest that a narrow band microwave circuitry can support the antenna enabling a low-cost automated microwave diagnostic system.

scholarly journals Detection of ESKAPE Bacterial Pathogens at the Point of Care Using Isothermal DNA-Based Assays in a Portable Degas-Actuated Microfluidic Diagnostic Assay Platform

2016 ◽  
Vol 83 (4) ◽  
Author(s):  
Lars D. Renner ◽  
Jindong Zan ◽  
Linda I. Hu ◽  
Manuel Martinez ◽  
Pedro J. Resto ◽  
...  
Keyword(s):  
Limit Of Detection ◽  
Point Of Care ◽  
Low Cost ◽  
Bacterial Pathogens ◽  
Diagnostic System ◽  
Molecular Diagnostic ◽  
Technology Gap ◽  
Content Type ◽  
Antimicrobial Drug Resistance ◽  
Industrial Processing

ABSTRACT An estimated 1.5 billion microbial infections occur globally each year and result in ∼4.6 million deaths. A technology gap associated with commercially available diagnostic tests in remote and underdeveloped regions prevents timely pathogen identification for effective antibiotic chemotherapies for infected patients. The result is a trial-and-error approach that is limited in effectiveness, increases risk for patients while contributing to antimicrobial drug resistance, and reduces the lifetime of antibiotics. This paper addresses this important diagnostic technology gap by describing a low-cost, portable, rapid, and easy-to-use microfluidic cartridge-based system for detecting the ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) bacterial pathogens that are most commonly associated with antibiotic resistance. The point-of-care molecular diagnostic system consists of a vacuum-degassed microfluidic cartridge preloaded with lyophilized recombinase polymerase amplification (RPA) assays and a small portable battery-powered electronic incubator/reader. The isothermal RPA assays detect the targeted ESKAPE pathogens with high sensitivity (e.g., a limit of detection of ∼10 nucleic acid molecules) that is comparable to that of current PCR-based assays, and they offer advantages in power consumption, engineering, and robustness, which are three critical elements required for the point-of-care setting. IMPORTANCE This paper describes a portable system for rapidly identifying bacteria in resource-limited environments; we highlight the capabilities of the technology by detecting different pathogens within the ESKAPE collection, which cause nosocomial infections. The system is designed around isothermal DNA-based assays housed within an autonomous plastic cartridge that are designed with the end user in mind, who may have limited technological training. Displaying excellent sensitivity and specificity, the assay systems that we demonstrate may enable future diagnoses of bacterial infection to guide the development of effective chemotherapies and may have a role in areas beyond health where rapid detection is valuable, including in industrial processing and manufacturing, food security, agriculture, and water quality testing.

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