Rapid Frequency-Domain FLIM Spinning Disk Confocal Microscope: Lifetime Resolution, Image Improvement and Wavelet Analysis

2008 ◽  
Vol 18 (5) ◽  
pp. 929-942 ◽  
Author(s):  
Chittanon Buranachai ◽  
Daichi Kamiyama ◽  
Akira Chiba ◽  
Benjamin D. Williams ◽  
Robert M. Clegg
Keyword(s):  
Wavelet Analysis ◽  
Frequency Domain ◽  
Confocal Microscope ◽  
Resolution Image ◽  
Spinning Disk ◽  
Image Improvement

Mine Ventilator Fault Diagnosis Based on Harmonic Wavelet Analysis

2011 ◽  
Vol 143-144 ◽  
pp. 613-617
Author(s):  
Shuang Xi Jing ◽  
Yong Chang ◽  
Jun Fa Leng
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Frequency Domain ◽  
Vibration Signal ◽  
Wavelet Function ◽  
Frequency Region ◽  
Analysis Method ◽  
Vibration Signals ◽  
Harmonic Wavelet ◽  
Frequency Components

Harmonic wavelet function, with the strict box-shaped characteristic of spectrum, has strong ability of identifying signal in frequency domain, and can extract weak components form vibration signals in frequency domain. Using harmonic wavelet analysis method, the selected frequency region and other frequency components of vibration signal of mine ventilator were decomposed into independent frequency bands without any over-lapping or leaking. Simulation and diagnosis example show that this method has good fault diagnosis effect, and the ventilator fault is diagnosed successfully.

Co-registration of ultrasound and frequency-domain photoacoustic radar images and image improvement for tumor detection

2015 ◽  
Author(s):  
Edem Dovlo ◽  
Bahman Lashkari ◽  
Sung soo Sean Choi ◽  
Andreas Mandelis
Keyword(s):  
Frequency Domain ◽  
Tumor Detection ◽  
Radar Images ◽  
Image Improvement

Application of Wavelet Analysis for Online Measurement of Crude Oils

2005 ◽  
Vol 295-296 ◽  
pp. 417-422
Author(s):  
X. Li ◽  
Z.L. Ding ◽  
F. Yuan
Keyword(s):  
Wavelet Analysis ◽  
Frequency Domain ◽  
Gas Flow ◽  
Lms Algorithm ◽  
Crude Oils ◽  
Online Measurement ◽  
Oil Pipeline ◽  
Three Phase ◽  
Oil Water ◽  
Water Gas

The correlation method had once been considered as one of the best methods for the measurement of multiphase flow. However, if the behavior of flow does not fit the ergodic random process, the measured cross correlation plot will have a gross distortion when the different components of flow do not pervade within one another to the full extent. We measured a variety of parameters of three phase oil/water/gas flow in an oil pipeline. The change of flow pattern is so complex that the measured signals are always contaminated by stochastic noises. The weak signals are very easily covered by the noise so that it will result in great deviation. Wavelet transformation is an analytical method of both time and frequency domain. The method can achieve signal decomposition and location in time and frequency domain through adjustment and translation of scale. An LMS algorithm in wavelet transform is studied for denoising the signals based on the use of a novel smart capacitive sensor to measure three phase oil/water/gas flow in oil pipeline. The results of simulation and data processing by MATLAB reveal that wavelet analysis has better denoising effects for online measurement of crude oils with high measurement precision and a wide application range.

scholarly journals Full developmental potential of mammalian preimplantation embryos is maintained after imaging using a spinning-disk confocal microscope

BioTechniques ◽  
2006 ◽  
Vol 41 (6) ◽  
pp. 741-750 ◽  
Author(s):  
Pablo Juan Ross ◽  
Gloria Ines Perez ◽  
Tak Ko ◽  
Myung Sik Yoo ◽  
Jose Bernardo Cibelli
Keyword(s):  
Confocal Microscope ◽  
Preimplantation Embryos ◽  
Developmental Potential ◽  
Spinning Disk

Experimental Study of Mine AE Signal Based on Wavelet Analysis

2011 ◽  
Vol 148-149 ◽  
pp. 1127-1130 ◽  
Author(s):  
Xiu Zhi Cheng ◽  
Zhen Yu ◽  
Guang Zhu
Keyword(s):  
Experimental Study ◽  
Signal Processing ◽  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Frequency Domain ◽  
Activity Patterns ◽  
Audio Signal ◽  
P Wave ◽  
Audio Signal Processing ◽  
Ae Signal

Because the wavelet transform can characterize the local signals in time and frequency domain, in the coal mine’s sound signals’ process, an audio signal processing based on wavelet analysis is proposed, the audio signal P wave is isolated and determined by wavelet transform, at the same time, the earthquake source can be located. Through the research of the mine AE signal’s activity patterns, the sound monitoring technology to forecast the mine power disaster is achieved.

Financial Index Prediction Based on Wavelet Analysis and SVM

2013 ◽  
Vol 303-306 ◽  
pp. 1114-1118
Author(s):  
Xian Tan
Keyword(s):  
Wavelet Analysis ◽  
Frequency Domain ◽  
Time Domain ◽  
Financial Time Series ◽  
Support Vector ◽  
Frequency Domain Method ◽  
Signal Characteristics ◽  
Vector Machines ◽  
Financial Index ◽  
The Time Domain

The analysis of the time sequence can be two ways in the time domain and frequency domain. But many financial time series exhibit strong non-stationary and long memory, which makes many traditional individually focused on the research and analysis of the time domain or frequency domain method is no longer applicable. In this paper, wavelet analysis and support vector machines for use in the time domain and frequency domain have the ability to characterize the local signal characteristics, location and mutation of the singular points and irregular mutation analysis, these mutations detected the degree of significance.

The co-movement and causality between housing and stock markets in the time and frequency domains considering inflation

2018 ◽  
Vol 8 (1) ◽  
pp. 92-108 ◽  
Author(s):  
Jiaojiao Fan ◽  
Xin Li ◽  
Qinghua Shi ◽  
Chi-Wei Su
Keyword(s):  
Wavelet Analysis ◽  
Frequency Domain ◽  
Causal Relationship ◽  
Time Domain ◽  
Stock Prices ◽  
Stock Markets ◽  
Housing Prices ◽  
Price Effect ◽  
Content Type ◽  
Positive Effect

Purpose The purpose of this paper is to examine the causal relationship between Chinese housing and stock markets. The authors discuss the three transmission mechanisms between the two markets: wealth effect, modern portfolio theory and credit-price effect. Moreover, the authors focus on the effects of inflation on the relationship between the two markets. Design/methodology/approach This paper uses wavelet analysis to test the housing and stock markets relationship both in the frequency domain and time domain. Findings The empirical results indicate that housing prices have a positive effect on stock prices, and these have the same effect on housing prices. Moreover, this positive effect means that stock prices have a wealth effect on housing prices and these have a credit-price effect on stock prices. Research limitations/implications These results provide information to financial institutions and individual investors in China to assist them in constructing investment portfolios within these two asset markets. Originality/value The authors first use wavelet analysis to analyze Chinese housing and stock markets and to provide information both on the frequency domain and time domain. Moreover, the authors take the inflation factor as a control variable in the causal relationship between the housing and stock markets.

scholarly journals Ultrafast superresolution fluorescence imaging with spinning disk confocal microscope optics

2015 ◽  
Vol 26 (9) ◽  
pp. 1743-1751 ◽  
Author(s):  
Shinichi Hayashi ◽  
Yasushi Okada
Keyword(s):  
Live Cell Imaging ◽  
Cell Imaging ◽  
Rotating Disk ◽  
Confocal Microscope ◽  
Diffraction Limit ◽  
Live Cell ◽  
Wide Field ◽  
Structured Illumination ◽  
Stripe Pattern ◽  
Spinning Disk

Most current superresolution (SR) microscope techniques surpass the diffraction limit at the expense of temporal resolution, compromising their applications to live-cell imaging. Here we describe a new SR fluorescence microscope based on confocal microscope optics, which we name the spinning disk superresolution microscope (SDSRM). Theoretically, the SDSRM is equivalent to a structured illumination microscope (SIM) and achieves a spatial resolution of 120 nm, double that of the diffraction limit of wide-field fluorescence microscopy. However, the SDSRM is 10 times faster than a conventional SIM because SR signals are recovered by optical demodulation through the stripe pattern of the disk. Therefore a single SR image requires only a single averaged image through the rotating disk. On the basis of this theory, we modified a commercial spinning disk confocal microscope. The improved resolution around 120 nm was confirmed with biological samples. The rapid dynamics of micro­tubules, mitochondria, lysosomes, and endosomes were observed with temporal resolutions of 30–100 frames/s. Because our method requires only small optical modifications, it will enable an easy upgrade from an existing spinning disk confocal to a SR microscope for live-cell imaging.

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