scholarly journals Interference Microscopy under Double-Wavelet Analysis: A New Approach to Studying Cell Dynamics

2005 ◽  
Vol 94 (21) ◽  
Author(s):  
O. V. Sosnovtseva ◽  
A. N. Pavlov ◽  
N. A. Brazhe ◽  
A. R. Brazhe ◽  
L. A. Erokhova ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Interference Microscopy ◽  
Cell Dynamics ◽  
New Approach

New Approach for Concentration Prediction of Aqueous Phenolic Contaminants by Using Wavelet Analysis and Support Vector Machine

2020 ◽  
Vol 37 (5) ◽  
pp. 382-392
Author(s):  
Jingwei Feng ◽  
Lijun Pan ◽  
Binhua Cui ◽  
Yabing Sun ◽  
Aiyong Zhang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Wavelet Analysis ◽  
Support Vector ◽  
New Approach ◽  
Concentration Prediction

scholarly journals A Wavelet-Based Technique for Identifying, Labeling, and Tracking of Ocean Eddies

2002 ◽  
Vol 19 (3) ◽  
pp. 381-390 ◽  
Author(s):  
Jingjia Luo ◽  
Leland Jameson
Keyword(s):  
Wavelet Analysis ◽  
Observational Data ◽  
Computer Simulations ◽  
Satellite Data ◽  
Large Datasets ◽  
New Method ◽  
Large Dataset ◽  
New Approach ◽  
Ocean Eddies ◽  
Initial Target

Abstract Wavelet analysis offers a new approach for viewing and analyzing various large datasets by dividing information according to scale and location. Here a new method is presented that is designed to characterize time-evolving structures in large datasets from computer simulations and from observational data. An example of the use of this method to identify, classify, label, and track eddylike structures in a time-evolving dataset is presented. The initial target application is satellite data from the TOPEX/Poseiden satellite. But, the technique can certainly be used in any large dataset that might contain time-evolving or stationary structures.

New approach to the study of cell cytotoxicity using high-resolution coherence phase-interference microscopy

2020 ◽  
Author(s):  
Irina Vasilenko ◽  
Vladislav Metelin ◽  
Nataliya Kil’deeva ◽  
Andrey Temnov ◽  
Roman Lifenko ◽  
...  
Keyword(s):  
High Resolution ◽  
Interference Microscopy ◽  
Cell Cytotoxicity ◽  
New Approach ◽  
Phase Interference

Wavelet Novelty Measure for Machinery Diagnostics

1997 ◽  
Author(s):  
Wiesław J. Staszewski
Keyword(s):  
Fault Detection ◽  
Wavelet Analysis ◽  
Novelty Detection ◽  
Compression Algorithm ◽  
Daubechies Wavelets ◽  
Wavelet Compression ◽  
New Approach ◽  
Vibration Data ◽  
Statistical Distance ◽  
Machinery Diagnostics

Abstract The paper is concerned with wavelet analysis for fault detection in machinery diagnostics. A new approach based on novelty detection is presented. The method involves a wavelet compression algorithm to vibration data in order to extract a set of features which are related to the fault. The compression algorithm uses orthogonal Daubechies’ wavelets and a simple thresholding procedure. The wavelet based novelty measure is established as a statistical distance between decoded data representing different fault advancements.

Interference Microscopy for Cellular Studies

2009 ◽  
pp. 656-672
Author(s):  
Alexey R. Brazhe ◽  
Nadezda A. Brazhe ◽  
Alexey N. Pavlov ◽  
Georgy V. Maksimov
Keyword(s):  
Optical Properties ◽  
Wavelet Analysis ◽  
Cell Structure ◽  
Structure And Function ◽  
Interference Microscopy ◽  
Data Series ◽  
Laser Interference ◽  
Non Invasive ◽  
A Cell ◽  
And Function

This chapter describes the application of interference microscopy and double-wavelet analysis to noninvasive study of cell structure and function. We present different techniques of phase and interference microscopy and discuss how variations in the intrinsic optical properties of a cell can be related to the intracellular processes. Particular emphasis is given to the newly developed phase modulation laser interference microscope. We show how this setup, combined with wavelet analysis of the obtained data series, can be applied to live cell imaging to investigate the rhythmic intracellular processes and their mutual interactions. We hope that the discussion will contribute to the understanding and learning of new methods for non-invasive investigation of intracellular processes.

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