scholarly journals Validation of a super-resolution measurement using frequency filtering technique and optical displacement analysis of bubble surface in breathing mode oscillation

2021 ◽  
Vol 41 (3) ◽  
pp. 1-10
Author(s):  
Takao OKU ◽  
Hiroyuki HIRAHARA ◽  
Donghyuk KANG
Keyword(s):  
Super Resolution ◽  
Bubble Surface ◽  
Frequency Filtering ◽  
Breathing Mode ◽  
Displacement Analysis ◽  
Resolution Measurement ◽  
Optical Displacement ◽  
Mode Oscillation ◽  
Filtering Technique

scholarly journals Numerical Simulation of Breathing Mode Oscillation on Bubble Detachment

Fluids ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 96
Author(s):  
Takao Oku ◽  
Hiroyuki Hirahara ◽  
Tomohiro Akimoto ◽  
Daiki Tsuchida
Keyword(s):  
Natural Frequency ◽  
Cfd Simulation ◽  
Low Frequency ◽  
Sound Emission ◽  
Breathing Mode ◽  
Bubble Deformation ◽  
Mode Oscillation ◽  
Computational Fluid Dynamics Cfd ◽  
Oscillation Frequencies ◽  
Air Column

When a bubble detaches from a nozzle immersed in water, a sound is emitted owing to the detachment. The bubble deformation and sound emission generated after detachment has been investigated in many studies, in which the breathing mode with a natural frequency was discussed based on the dynamics of the interface between the air and water. In this study, the deformation of a bubble was observed, and the sound emitted upon detachment was measured experimentally. To analyze the bubble deformation process, a computational fluid dynamics (CFD) simulation was conducted using the volume of fluid (VOF) method to predict the sound emission. In the analysis, the deformation behavior, the oscillation frequencies, sound pressure, and radius variation were discussed by comparing the numerical and experimental data. Furthermore, the natural frequency and low frequency vibrations were discussed based on the interference between the detached bubbles and the air column vibrations.

scholarly journals A technique for resolution assessment in blind-SIM experiments

2021 ◽  
Author(s):  
Imen Boujmil ◽  
Giancarlo Ruocco ◽  
Marco Leonetti
Keyword(s):  
High Resolution ◽  
Biological Sample ◽  
A Priori ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Experimental Setup ◽  
Wide Field ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Resolution Measurement

Super resolution techniques are an excellent alternative to wide field microscopy, providing high resolution also in (typically fragile) biological sample. Among the various super resolution techniques, Structured Illumination Microscopy (SIM) improve resolution by employing multiple illumination patterns to be deconvolved with a dedicated software. In the case of blind SIM techniques, unknown patterns, such as speckles, are used, thus providing super resolved images, nearly unaffected by aberrations with a simplified experimental setup. Scattering Assisted Imaging, a special blind SIM technique, exploits an illumination PSF (speckle grains size), smaller than the collection PSF (defined by the collection objectives), to surpass the typical SIM resolution enhancement. However, if SAI is used, it is very difficult to extract the resolution enhancement form a priori considerations. In this paper we propose a protocol and experimental setup for the resolution measurement, demonstrating the resolution enhancement for different collection PSF values.

scholarly journals Super resolution measurement of collagen fibers in biological samples: Validation of a commercial solution for multiphoton microscopy

PLoS ONE ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. e0229278 ◽  
Author(s):  
Aaron M. Barlow ◽  
Leila B. Mostaço-Guidolin ◽  
Emmanuel T. Osei ◽  
Steven Booth ◽  
Tillie-Louise Hackett
Keyword(s):  
Biological Samples ◽  
Multiphoton Microscopy ◽  
Super Resolution ◽  
Collagen Fibers ◽  
Resolution Measurement

1310 Super resolution measurement of concentration for evaluation of mass transfer into endothelial cells

2015 ◽  
Vol 2015 (0) ◽  
pp. _1310-1_-_1310-2_
Author(s):  
Katsuo MOGI ◽  
Norika KANETAKA ◽  
Yasuhiko SUGII ◽  
Koichi HISHIDA
Keyword(s):  
Mass Transfer ◽  
Endothelial Cells ◽  
Super Resolution ◽  
Resolution Measurement

scholarly journals Reentrant behavior of the breathing-mode-oscillation frequency in a one-dimensional Bose gas

2015 ◽  
Vol 92 (2) ◽  
Author(s):  
A. Iu. Gudyma ◽  
G. E. Astrakharchik ◽  
Mikhail B. Zvonarev
Keyword(s):  
Oscillation Frequency ◽  
Bose Gas ◽  
Breathing Mode ◽  
One Dimensional ◽  
Mode Oscillation

Observer Based Fault Detection and Identification in Differential Algebraic Equations

2013 ◽  
Author(s):  
Jason R. Scott ◽  
Stephen L. Campbell
Keyword(s):  
Fault Detection ◽  
Least Squares ◽  
Mechanical Systems ◽  
Differential Algebraic Equations ◽  
Algebraic Equations ◽  
Frequency Filtering ◽  
Detection And Identification ◽  
Fault Detection And Identification ◽  
Filtering Technique

Fault detection and identification (FDI) are important tasks in most modern industrial and mechanical systems and processes. Many of these systems are most naturally modeled by differential algebraic equations. One approach to FDI is based on the use of observers and filters to detect and identify faults. The method presented here uses the least squares completion to compute an ODE that contains the solution of the DAE and applies the observer directly to this ODE. Robustness with respect to disturbances is also addressed by a frequency filtering technique.

Study on breathing mode oscillation suppression of self-excited Hall thrusters

2012 ◽  
Vol 30 (6) ◽  
pp. 061304 ◽  
Author(s):  
Wei Liqiu ◽  
Han Ke ◽  
Wang Chunsheng ◽  
Li Hong ◽  
Zhang ChaoHai ◽  
...  
Keyword(s):  
Hall Thrusters ◽  
Breathing Mode ◽  
Oscillation Suppression ◽  
Mode Oscillation

scholarly journals Implementation Of Noise Suppressor Using Zero Frequency Filtering Technique

2021 ◽  
Author(s):  
Radhakrishnan R K ◽  
Dr Subha Rani S ◽  
Sathya N ◽  
AravindaGouthum G
Keyword(s):  
Frequency Filtering ◽  
Filtering Technique ◽  
Zero Frequency Filtering ◽  
Zero Frequency

scholarly journals Identification of Nonlinear Systems Through Time-frequency Filtering Technique

2003 ◽  
Vol 125 (2) ◽  
pp. 199-204 ◽  
Author(s):  
Lili Wang ◽  
Jinghui Zhang ◽  
Chao Wang ◽  
Shiyue Hu
Keyword(s):  
Nonlinear System ◽  
Nonlinear Systems ◽  
Frequency Distribution ◽  
Frequency Filtering ◽  
Time Frequency ◽  
Vibration Data ◽  
Response Data ◽  
Nonstationary Vibration ◽  
Filtering Technique ◽  
Time Frequency Distribution

In the previous paper, a class of nonlinear system is mapped to a so-called skeleton linear model (SLM) based on the joint time-frequency analysis method. Behavior of the nonlinear system may be indicated quantitatively by the variance of the coefficients of SLM versus its response. Using this model we propose an identification method for nonlinear systems based on nonstationary vibration data in this paper. The key technique in the identification procedure is a time-frequency filtering method by which solution of the SLM is extracted from the response data of the corresponding nonlinear system. Two time-frequency filtering methods are discussed here. One is based on the quadratic time-frequency distribution and its inverse transform, the other is based on the quadratic time-frequency distribution and the wavelet transform. Both numerical examples and an experimental application are given to illustrate the validity of the technique.

Sign in / Sign up

Export Citation Format

Share Document