scholarly journals Localization events-based sample drift correction for localization microscopy with redundant cross-correlation algorithm

2014 ◽  
Vol 22 (13) ◽  
pp. 15982 ◽  
Author(s):  
Yina Wang ◽  
Joerg Schnitzbauer ◽  
Zhe Hu ◽  
Xueming Li ◽  
Yifan Cheng ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Drift Correction ◽  
Localization Microscopy ◽  
Correlation Algorithm

scholarly journals Drift correction in localization microscopy using entropy minimization

2021 ◽  
Author(s):  
Jelmer Cnossen ◽  
Tao Ju Cui ◽  
Chirlmin Joo ◽  
Carlas S Smith
Keyword(s):  
Cross Correlation ◽  
Time Constraints ◽  
Fiducial Markers ◽  
Drift Correction ◽  
Localization Microscopy ◽  
Drift Estimation ◽  
Estimation Precision ◽  
2D And 3D ◽  
Dedicated Hardware ◽  
Compute Time

Localization microscopy offers resolutions down to a single nanometer, but currently requires additional dedicated hardware or fiducial markers to reduce resolution loss from drift of the sample. Drift estimation without fiducial markers is typically implemented using redundant cross correlation (RCC). We show that RCC has sub-optimal precision and bias, which leaves room for improvement. Here, we minimize a bound on the entropy of the obtained localizations to efficiently compute a precise drift estimate. Within practical compute-time constraints, simulations show a 5x improvement in drift estimation precision over the widely used RCC algorithm. The algorithm operates directly on fluorophore localizations and is tested on simulated and experimental datasets in 2D and 3D. An open source implementation is provided, implemented in Python and C++, and can utilize a GPU if available.

Application of cross-correlation algorithm in moving target range-gated three-dimensional laser active imaging

2016 ◽  
Vol 45 (6) ◽  
pp. 0617003
Author(s):  
范有臣 Fan Youchen ◽  
赵洪利 Zhao Hongli ◽  
孙华燕 Sun Huayan ◽  
郭惠超 Guo Huichao ◽  
赵延仲 Zhao Yanzhong
Keyword(s):  
Cross Correlation ◽  
Three Dimensional ◽  
Target Range ◽  
Moving Target ◽  
Correlation Algorithm ◽  
Active Imaging

scholarly journals A New Cross-Correlation Algorithm Based on Distance for Improving Localization Accuracy of Partial Discharge in Cables Lines

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4549 ◽  
Author(s):  
Xianjie Rao ◽  
Kai Zhou ◽  
Yuan Li ◽  
Guangya Zhu ◽  
Pengfei Meng
Keyword(s):  
Cross Correlation ◽  
Partial Discharge ◽  
Effective Means ◽  
Sampling Rate ◽  
Propagation Distance ◽  
Test System ◽  
Computer Simulation Model ◽  
Localization Accuracy ◽  
Correlation Algorithm ◽  
Cable Lines

Locating the partial discharge (PD) source is one of the most effective means to locate local defects in power cable lines. The sampling rate and the frequency-dependent characteristic of phase velocity have an obvious influence on localization accuracy based on the times of arrival (TOA) evaluation algorithm. In this paper, we present a cross-correlation algorithm based on propagation distance to locate the PD source in cable lines. First, we introduce the basic principle of the cross-correlation function of propagation distance. Then we verify the proposed method through a computer simulation model and investigate the influences of propagation distance, sampling rate, and noise on localization accuracy. Finally, we perform PD location experiments on two 250 m 10 kV XLPE power cables using the oscillation wave test system. The simulation and experiment results indicate that compared with traditional TOA evaluation methods, the proposed method has superior locating precision.

Cross-correlation image tracking for drift correction and adsorbate analysis

2002 ◽  
Vol 73 (2) ◽  
pp. 313-317 ◽  
Author(s):  
B. A. Mantooth ◽  
Z. J. Donhauser ◽  
K. F. Kelly ◽  
P. S. Weiss
Keyword(s):  
Cross Correlation ◽  
Drift Correction ◽  
Image Tracking ◽  
Correlation Image

Study on Velocity Measurement of Gas/Solid Flow Based on Electrostatic Sensor

2014 ◽  
Vol 614 ◽  
pp. 275-278
Author(s):  
Yu Tang ◽  
Xiang Deng ◽  
Shuo Tian
Keyword(s):  
Measurement System ◽  
Velocity Measurement ◽  
Flow Measurement ◽  
Cross Correlation ◽  
Low Cost ◽  
High Sensitivity ◽  
Two Phase ◽  
Solid Flow ◽  
Correlation Algorithm ◽  
Electrostatic Induction

Electrostatic sensor is based on the principle of electrostatic induction. It is widely used for gas/solid two-phase flow measurement because it has the advantages of simple structure, high sensitivity, low cost, etc. In this paper, a velocity measurement system of gas/solid flow based on electrostatic sensor and cross-correlation algorithm is discussed. Electrostatic sensor with circular electrode is adopted. By COMSOL optimum simulation, the axial length of the electrode is designed. The signal conditioning circuits are discussed and cross-correlation algorithm is analyzed. The initial experimental results demonstrate that the velocity measurement system of gas/solid flow designed in this paper is feasible.

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