scholarly journals A novel, sensitive detection system for high-density microarrays using dendrimer technology

2000 ◽  
Vol 3 (2) ◽  
pp. 93-99 ◽  
Author(s):  
ROBIN L. STEARS ◽  
ROBERT C. GETTS ◽  
STEVEN R. GULLANS
Keyword(s):  
Signal Detection ◽  
Detection System ◽  
High Density ◽  
Sensitive Detection ◽  
High Signal ◽  
Single Chip ◽  
Reverse Transcription Reaction ◽  
Multichannel Detection ◽  
Genomics Research ◽  
Amplification System

Stears, Robin L., Robert C. Getts, and Steven R. Gullans. A novel, sensitive detection system for high-density microarrays using dendrimer technology. Physiol Genomics 3: 93–99, 2000.—To improve signal detection on cDNA microarrays, we adapted a fluorescent oligonucleotide dendrimeric signal amplification system to microarray technology. This signal detection method requires 16-fold less RNA for probe synthesis, does not depend on the incorporation of fluorescent dNTPs into a reverse transcription reaction, generates a high signal-to-background ratio, and can be used to allow for multichannel detection on a single chip. Furthermore, since the dendrimers can be detected individually, it may be possible, by employing dendrimer-binding standards, to calculate the numbers of bound cDNAs can be estimated. These features make the dendrimer signal detection reagent ideal for high-throughput functional genomics research.

Fault Signal Detection System of Large Scale Integrated Circuit Based on Single Chip Microcomputer

2014 ◽  
Vol 716-717 ◽  
pp. 924-927
Author(s):  
Xiu Ying Li ◽  
Cun Ping Liu ◽  
Rong Fang Mei
Keyword(s):  
Signal Detection ◽  
Integrated Circuit ◽  
Large Scale ◽  
Detection Method ◽  
Detection System ◽  
Design Method ◽  
Detection Accuracy ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Working Performance

In the process of fault signal detection of large-scale integrated circuit, the fault signal detection can improve the working performance of large-scale integrated circuit. The traditional detection system is simple, time-consuming, and the error is large, the fault signal detection haslow accuracy. In view of this situation, a new design method of large scale integrated circuit fault signal detection system is proposed based on single chip microcomputer. S3C2410 is taken as hardware design basis, and the signal sensor is used, the software algorithm uses three B spline wavelet transform for ORB wave detection method. The detection is completed.The experiment experimental results show that the system can improve the detection accuracy greatly, and effectively improve the work efficiency.

Acquisition of EELS spectra for high-resolution spectroscopy

1993 ◽  
Vol 51 ◽  
pp. 578-579
Author(s):  
Maoxu Qian ◽  
Mehmet Sarikaya ◽  
Edward A. Stern
Keyword(s):  
Energy Loss ◽  
Detection System ◽  
High Resolution Spectroscopy ◽  
High Signal ◽  
Short Report ◽  
Edge Structure ◽  
High Background ◽  
Gain Variation ◽  
Sufficient Energy ◽  
On Line

It is difficult, in general, to perform quantitative EELS to determine, for example, relative or absolute compositions of elements with relatively high atomic numbers (using, e.g., K edge energies from 500 eV to 2000 eV), to study ELNES (energy loss near edge structure) signal using the white lines to determine oxidation states, and to analyze EXELFS (extended energy loss fine structure) to study short range ordering. In all these cases, it is essential to have high signal-to-noise (S/N) ratio (low systematical error) with high overall counts, and sufficient energy resolution (∽ 1 eV), requirements which are, in general, difficult to attain. The reason is mainly due to three important inherent limitations in spectrum acquisition with EELS in the TEM. These are (i) large intrinsic background in EELS spectra, (ii) channel-to-channel gain variation (CCGV) in the parallel detection system, and (iii) difficulties in obtaining statistically high total counts (∽106) per channel (CH). Except the high background in the EELS spectrum, the last two limitations may be circumvented, and the S/N ratio may be attained by the improvement in the on-line acquisition procedures. This short report addresses such procedures.

Acousto‐optic signal detection system

1986 ◽  
Vol 79 (2) ◽  
pp. 586-586
Author(s):  
Otis G. Zehl ◽  
Michael G. Price ◽  
Edward H. David ◽  
Jerome C. Kremen
Keyword(s):  
Signal Detection ◽  
Detection System

Monitoring and Warning System of Highway Environmental Parameters Based on GSM

2013 ◽  
Vol 329 ◽  
pp. 22-25
Author(s):  
Zhuo Jun Shen
Keyword(s):  
Data Transmission ◽  
Detection System ◽  
Warning System ◽  
Environmental Parameters ◽  
Mobile Network ◽  
Communication Technologies ◽  
Short Message ◽  
Single Chip ◽  
Message Service ◽  
Highway System

Mobile network signal is the basic coverage along the highway, and the GSM mobile communication technologies provide a powerful and reliable short message service and data transmission services, a variety of applications based on GSM data transmission platform is also being developed. The paper focuses on highway visibility detection and speed detection, system is constitute of a communication unit that uses the TC35i module and STC89C54 single chip, As well as hardware and software design of the method, GSM precautions in the design process of the highway system are briefly described.

Study on Grain Moisture Detection System Based on the Theory of Dielectric Properties

2013 ◽  
Vol 333-335 ◽  
pp. 1558-1563
Author(s):  
Ling Bin Tan ◽  
Hai Yan Ji
Keyword(s):  
Dielectric Properties ◽  
Detection System ◽  
Capacitive Sensor ◽  
Extreme Environment ◽  
Single Chip ◽  
Display Module ◽  
Temperature Detection ◽  
Grain Moisture ◽  
Moisture Detection ◽  
The Relationship

After studying the relationship between the moisture content of crops and their relative permittivity, the principle of capacitive sensor and the research results of measuring micro-capacitance, this paper summarizes the theoretical basis of dielectric properties of grain, the dielectric properties of wheat, corn and rice, the relationship between the dielectric properties of these crops and their water content. With these theory analyses, the paper gives a full look on the grain moisture detection system by the means of dielectric properties, which consists of six parts, a cylindrical capacitor, signal conditioning circuits, single-chip control module with an A/D converter, temperature detection module, keyboard module and display module. The system is simple, and can adapt to extreme environment and accomplish the rapid detection in manufacturing. A description is given of the principle, its hardware circuit and software programming flow chart.

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