scholarly journals A Portable Setup for Molecular Detection by Transmission LSPR

2012 ◽  
Vol 1479 ◽  
pp. 27-32
Author(s):  
Giulia Cappi ◽  
Enrico Accastelli ◽  
Fabio M. Spiga ◽  
Vera Cantale ◽  
Maria A. Rampi ◽  
...  
Keyword(s):  
Real Time ◽  
Dna Hybridization ◽  
Detection System ◽  
Low Cost ◽  
Peak Position ◽  
Hybridization Experiment ◽  
Localized Surface Plasmon ◽  
Light Sources ◽  
Array Measurements ◽  
Plasmon Peak

ABSTRACTIn the framework of bioanalytics and multiple array detection, we developed a fully portable and low-cost detection system based on Localized Surface Plasmon Resonance (LSPR) in a transmission configuration (T-LSPR). The transmission approach is suitable to be scaled to small dimension systems and to enable high-density array measurements on the same platform. Our setup is made out of off-the-shelf components and consists of a set of discrete light sources and a couple of light-detectors which enable a differential measurement setup. An algorithm fits the measured data and extracts the information of the plasmon peak position in the spectrum.The performance of our T-LSPR measurement system has been characterized on a set of Fluorinated Tin Oxide-coated glass slides covered with gold Nanoislands (NIs). The samples have been modified with a single-stranded DNA layer and a real-time DNA hybridization experiment has been performed. Here we demonstrate that the proposed T-LSPR device, based on the characterization of the plasmon peak with a differential approach, is able to monitor real-time DNA hybridization on surface, and to precisely measure the position of the peak with a standard deviation in wavelength of 0.2 nm.

scholarly journals LAMP assay coupled with CRISPR/Cas12a system for portable detection of African swine fever virus

2021 ◽  
Author(s):  
Bo YANG ◽  
zhengwang shi ◽  
Yuan Ma ◽  
Lijuan Wang ◽  
Liyan Cao ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
African Swine Fever Virus ◽  
Low Cost ◽  
African Swine Fever ◽  
Lamp Assay ◽  
Cross Reactivity ◽  
Clinical Samples ◽  
Portable Detection ◽  
Real Time Qpcr

African swine fever (ASF) is one of the most severe infectious diseases of pigs. In this study, a LAMP assay coupled with the CRISPR Cas12a system was established in one tube for the detection of the ASFV p72 gene. The single-strand DNA-fluorophore-quencher (ssDNA-FQ) reporters and CRISPR-derived RNA (crRNAs) were screened and selected for the CRISPR detection system. In combination with LAMP amplification assay, the detection limit for the LAMP-CRISPR assay can reach 7 copies/μl of p72 gene per reaction. Furthermore, this method displays no cross-reactivity with other porcine DNA or RNA viruses. The performance of the LAMP-CRISPR assay was compared with real-time qPCR tests for clinical samples, a good consistency between the LAMP-CRISPR assay and real-time qPCR was observed. In the current study, a LAMP coupled with the CRISPR detection method was developed. The method shed a light on the convenient, portable, low cost, highly sensitive and specific detection of ASFV, demonstrating a great application potential for monitoring on-site ASFV in the field.

scholarly journals Real-Time Automatic Cloud Detection Using a Low-Cost Sky Camera

2020 ◽  
Vol 12 (9) ◽  
pp. 1382 ◽  
Author(s):  
Joaquín Alonso-Montesinos
Keyword(s):  
Real Time ◽  
Energy Production ◽  
Production Management ◽  
Detection System ◽  
Low Cost ◽  
Color Spaces ◽  
Cloud Detection ◽  
Precise Control ◽  
Short Period ◽  
Sky Conditions

Characterizing the atmosphere is one of the most complex studies one can undertake due to the non-linearity and phenomenological variability. Clouds are also among the most variable atmospheric constituents, changing their size and shape over a short period of time. There are several sectors in which the study of cloudiness is of vital importance. In the renewable field, the increasing development of solar technology and the emerging trend for constructing and operating solar plants across the earth’s surface requires very precise control systems that provide optimal energy production management. Similarly, airports are hubs where cloud coverage is required to provide high-precision periodic observations that inform airport operators about the state of the atmosphere. This work presents an autonomous cloud detection system, in real time, based on the digital image processing of a low-cost sky camera. An algorithm was developed to identify the clouds in the whole image using the relationships established between the channels of the RGB and Hue, Saturation, Value (HSV) color spaces. The system’s overall success rate is approximately 94% for all types of sky conditions; this is a novel development which makes it possible to identify clouds from a ground perspective without the use of radiometric parameters.

scholarly journals A coincidence detection system based on real-time software

2016 ◽  
Vol 5 (2) ◽  
pp. 437-449 ◽  
Author(s):  
Sindulfo Ayuso ◽  
Juan José Blanco ◽  
José Medina ◽  
Raúl Gómez-Herrero ◽  
Oscar García-Población ◽  
...  
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
Cosmic Ray ◽  
Coincidence Detection ◽  
Pulse Delay ◽  
Development Platform ◽  
Electronic Circuitry ◽  
Coincidence System ◽  
Cost Development

Abstract. Conventional real-time coincidence systems use electronic circuitry to detect coincident pulses (hardware coincidence). In this work, a new concept of coincidence system based on real-time software (software coincidence) is presented. This system is based on the recurrent supervision of the analogue-to-digital converters status, which is described in detail. A prototype has been designed and built using a low-cost development platform. It has been applied to two different experimental sets for cosmic ray muon detection. Experimental muon measurements recorded simultaneously using conventional hardware coincidence and our software coincidence system have been compared, yielding identical results. These measurements have also been validated using simultaneous neutron monitor observations. This new software coincidence system provides remarkable advantages such as higher simplicity of interconnection and adjusting. Thus, our system replaces, at least, three Nuclear Instrument Modules (NIMs) required by conventional coincidence systems, reducing its cost by a factor of 40 and eliminating pulse delay adjustments.

scholarly journals Sliding wire detection system of electric lock screw tool based on motor characteristics

2021 ◽  
Vol 2137 (1) ◽  
pp. 012009
Author(s):  
Ning Zhang ◽  
Yinxin Yan ◽  
Houcheng Yang ◽  
Zhangsi Yu
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
High Sensitivity ◽  
High Accuracy ◽  
Normal Operation ◽  
Automatic Assembly ◽  
The Real ◽  
Current Change ◽  
Real Time Detection

Abstract This paper presents a sliding wire detection system of electric screw locking tool based on the characteristics of motor. The system can judge whether the screw has sliding wire through the current change of motor during normal operation, and realize the real-time detection and alarm of sliding wire. The system has the advantages of high sensitivity, low cost and high accuracy. It can be widely used in automatic assembly and other fields.

scholarly journals Low-Cost Localized Surface Plasmon Resonance Biosensing Platform with a Response Enhancement for Protein Detection

Nanomaterials ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 1019 ◽  
Author(s):  
Yun Liu ◽  
Ning Zhang ◽  
Ping Li ◽  
Li Yu ◽  
Shimeng Chen ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Surface Plasmon Resonance ◽  
Real Time ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Localized Surface Plasmon Resonance ◽  
Low Cost ◽  
Microfluidic Channel ◽  
Protein Detection ◽  
Localized Surface Plasmon

There are many potential applications for biosensors that can provide real-time analysis, such as environmental monitoring and disease prevention. In this study, we investigated a simple strategy for real-time protein detection, which had the advantages of affordability, fast response, portability, and ease of use. A robust quantification of protein interaction was achieved by combining capillary localized surface plasmon resonance (LSPR) sensors and complementary metal–oxide–semiconductor (CMOS) image sensors. Gold nanoparticles were modified on the inner wall of the capillary, which was used as a microfluidic channel and sensing surface. We functionalized one of the LSPR sensors using ligand bound to gold nanoparticle. Our proposed biosensing platform could be easily multiplexed to achieve high throughput screening of biomolecular interactions, and it has the potential for use in disposable sensors. Moreover, the sensing signal was enhanced by the extinction effect of gold nanoparticles. The experimental results showed that our device could achieve qualitative identification and quantitative measurement of transferrin and immunoglobulin G (IgG). As a field-portable and low-cost optical platform, the proposed LSPR biosensing device is broadly applicable to various protein binding tests via a similar self-assembly of organic ultrathin films.

A Study on Identification of Bubble Movements in an Automatic Wheel Leakage Detection System

2006 ◽  
Vol 326-328 ◽  
pp. 453-456
Author(s):  
Kwang Suck Boo ◽  
Hyun Ho Yook ◽  
Jong Il Lee ◽  
Woo Seong Che
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Die Casting ◽  
Casting Process ◽  
Mirror Image ◽  
Inspection Time ◽  
Inspection System ◽  
Light Sources ◽  
Cooling Period ◽  
Wheel Rim

This paper describes a method to detect leaks on the surface of a wheel rim manufactured by aluminum die casting and forging. Leaks in the wheel rim may be caused by temperature gradient differences during the cooling period, impurities, or flowing air bubbles in the die casting process. We developed a new low-cost approach to detect leaks that only required a short inspection time by observing the movement of soap bubbles on the wheel rim surface. We designed new light sources to minimize mirror image effects and irregular luminance distributions on the curved wheel rim surface. A preprocessing procedure for image processing was also developed to determine the bubble configurations using threshold and morphology techniques. A series of experiments were conducted to evaluate the performance of the inspection system. The results demonstrated that leaks generated during the wheel rim manufacturing process could be accurately detected even under various environmental lighting conditions.

Application Research on Precision Detection of Small Gear with Composite Edge Detection Method

2013 ◽  
Vol 333-335 ◽  
pp. 1123-1128
Author(s):  
Xin Luo ◽  
Li Ming Wu ◽  
De Zhi Zeng
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
High Speed ◽  
Dynamic Range ◽  
Detection Method ◽  
Detection System ◽  
Structural Characteristics ◽  
Low Cost ◽  
Edge Image ◽  
Edge Detection Method

Vision-based measurement method can be widely used for a variety of real-time and online precision measurements, and particularly well suited for dynamic real-time precision measurement of geometry parameters of the part, which has advantages of non-contact, high-speed, big dynamic range, rich amount of information, and relatively low cost. After the study of vision-based online detection system of small gear, we propose a composite subpixel edge detection method, which combines the four-way weighted differential algorithm based on the classic Sobel operator and OFMM (Orthogonal Fourier-Mellin Moment), aiming at achieving the precision location of the subpixel edge firstly. And then detect tooth profile defects rapidly through scanning circularly the edge image, according to the structural characteristics of gears. The theoretical analysis and experimental results show that the detection method has so high accuracy and speed that it can meet the industrial online tests requirements.

scholarly journals Real time automatic cloud detection using a low-cost sky camera

2020 ◽  
Author(s):  
Joaquín Alonso-Montesinos
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Energy Production ◽  
Production Management ◽  
Detection System ◽  
Low Cost ◽  
Cloud Detection ◽  
Precise Control ◽  
Short Period ◽  
Sky Conditions

Abstract. Characterizing the atmosphere is one of the most complex studies to undertake due to the non-linearity and phenomenological variability. Clouds are also amongst the most variable of the atmospheric constituents, changing their size and shape over a short period of time. There are several sectors in which the study of cloudiness is of vital importance. In the renewable field, the increasing development of solar technology and the emerging trend for constructing and operating solar plants across the earth's surface requires very precise control systems that provide optimal energy production management. Likewise, airports are hubs where cloud coverage is required to provide high-precision periodic observations that inform airport operators about the state of the atmosphere. This work presents an autonomous cloud detection system, in real time, based on the digital image processing of a low-cost sky camera. The system's overall success rate is approximately 94% for all types of sky conditions.

scholarly journals A Monitoring and Threat Detection System Using Stream Processing as a Virtual Function for Big Data

2019 ◽  
Author(s):  
Martin E. Andreoni Lopez ◽  
Otto Carlos Muniz Bandeira Duarte ◽  
Guy Pujolle
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
Stream Processing ◽  
Machine Learning Algorithms ◽  
Optimal Placement ◽  
Network Function Virtualization ◽  
Threat Detection ◽  
Network Function ◽  
Minimum Number

The late detection of security threats causes a significant increase in the risk of irreparable damages, disabling any defense attempt. As a consequence, fast real-time threat detection is mandatory for security guarantees. In addition, Network Function Virtualization (NFV) provides new opportunities for efficient and low-cost security solutions. We propose a fast and efficient threat detection system based on stream processing and machine learning algorithms. The main contributions of this work are i) a novel monitoring threat detection system based on stream processing; ii) two datasets, first a dataset of synthetic security data containing both legitimate and malicious traffic, and the second, a week of real traffic of a telecommunications operator in Rio de Janeiro, Brazil; iii) a data pre-processing algorithm, a normalizing algorithm and an algorithm for fast feature selection based on the correlation between variables; iv) a virtualized network function in an open-source platform for providing a real-time threat detection service; v) near-optimal placement of sensors through a proposed heuristic for strategically positioning sensors in the network infrastructure, with a minimum number of sensors; and, finally, vi) a greedy algorithm that allocates on demand a sequence of virtual network functions.

Localized surface plasmon-enhanced fluorescence spectroscopy for highly-sensitive real-time detection of DNA hybridization

2010 ◽  
Vol 25 (12) ◽  
pp. 2579-2585 ◽  
Author(s):  
Larbi Touahir ◽  
Elisabeth Galopin ◽  
Rabah Boukherroub ◽  
Anne Chantal Gouget-Laemmel ◽  
Jean-Noël Chazalviel ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Real Time ◽  
Surface Plasmon ◽  
Dna Hybridization ◽  
Localized Surface Plasmon ◽  
Enhanced Fluorescence ◽  
Plasmon Enhanced Fluorescence ◽  
Highly Sensitive ◽  
Real Time Detection
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