scholarly journals The Fast mode for ZEISS LSM 880 with Airyscan: high-speed confocal imaging with super-resolution and improved signal-to-noise ratio

2016 ◽  
Vol 13 (11) ◽  
pp. i-ii ◽  
Author(s):  
Joseph Huff
Keyword(s):  
High Speed ◽  
Signal To Noise Ratio ◽  
Super Resolution ◽  
Confocal Imaging ◽  
Fast Mode ◽  
Signal To Noise ◽  
Noise Ratio

Study on the measurement speed and signal to noise ratio of multi tone burst wave for high speed non-contact acoustic inspection method

2016 ◽  
Vol 140 (4) ◽  
pp. 3212-3212
Author(s):  
Nobuaki Kosuge ◽  
Tsuneyosi Sugimoto ◽  
Kazuko Sugimoto ◽  
Chitose Kuroda ◽  
Noriyuki Utagawa
Keyword(s):  
High Speed ◽  
Signal To Noise Ratio ◽  
Tone Burst ◽  
Signal To Noise ◽  
Inspection Method ◽  
Noise Ratio ◽  
Acoustic Inspection

Improvement of signal-to-noise ratio in remote NQR spectroscopy by high-speed sampling

1995 ◽  
Vol 235 (5-6) ◽  
pp. 508-510
Author(s):  
Geng-Ying Li ◽  
Xue-Cheng Xu ◽  
Yi Liu ◽  
Xue-Wen Wu
Keyword(s):  
High Speed ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Noise Ratio ◽  
High Speed Sampling

scholarly journals Evaluation of sted super-resolution image quality by image correlation spectroscopy (QuICS)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elena Cerutti ◽  
Morgana D’Amico ◽  
Isotta Cainero ◽  
Gaetano Ivan Dellino ◽  
Mario Faretta ◽  
...  
Keyword(s):  
Autocorrelation Function ◽  
Signal To Noise Ratio ◽  
Super Resolution ◽  
Image Contrast ◽  
Correlation Spectroscopy ◽  
Image Correlation ◽  
Signal To Noise ◽  
Image Correlation Spectroscopy ◽  
Noise Ratio

AbstractQuantifying the imaging performances in an unbiased way is of outmost importance in super-resolution microscopy. Here, we describe an algorithm based on image correlation spectroscopy (ICS) that can be used to assess the quality of super-resolution images. The algorithm is based on the calculation of an autocorrelation function and provides three different parameters: the width of the autocorrelation function, related to the spatial resolution; the brightness, related to the image contrast; the relative noise variance, related to the signal-to-noise ratio of the image. We use this algorithm to evaluate the quality of stimulated emission depletion (STED) images of DNA replication foci in U937 cells acquired under different imaging conditions. Increasing the STED depletion power improves the resolution but may reduce the image contrast. Increasing the number of line averages improves the signal-to-noise ratio but facilitates the onset of photobleaching and subsequent reduction of the image contrast. Finally, we evaluate the performances of two different separation of photons by lifetime tuning (SPLIT) approaches: the method of tunable STED depletion power and the commercially available Leica Tau-STED. We find that SPLIT provides an efficient way to improve the resolution and contrast in STED microscopy.

scholarly journals Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4076
Author(s):  
Yang ◽  
Zhu ◽  
Wang ◽  
Yang ◽  
Wu ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Raman Spectrum ◽  
Background Noise ◽  
Color Image ◽  
Signal To Noise Ratio ◽  
Super Resolution ◽  
Reconstruction Algorithm ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Pseudo Color

Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points. In this paper, a super-resolution image reconstruction algorithm for Raman spectroscopy is studied to convert raw Raman data into pseudo-color super-resolution imaging. Firstly, the Raman spectrum data of a single measurement point is measured multiple times to calculate the mean value to remove the random background noise, and innovatively introduce the Retinex algorithm and the median filtering algorithm which improve the signal-to-noise ratio. The novel method of using deep neural network performs a super-resolution reconstruction operation on the gray image. An adaptive guided filter that automatically adjusts the filter radius and penalty factor is proposed to highlight the contour of the cell, and the super-resolution reconstruction of the pseudo-color image of the Raman spectrum is realized. The average signal-to-noise ratio of the reconstructed pseudo-color image sub-band reaches 14.29 db, and the average value of information entropy reaches 4.30 db. The results show that the Raman-based cell pseudo-color image super-resolution reconstruction algorithm is an effective tool to effectively remove noise and high-resolution visualization. The contrast experiments show that the pseudo-color image Kullback–Leiber (KL) entropy of the color image obtained by the method is small, the boundary is obvious, and the noise is small, which provide technical support for the development of sophisticated single-cell imaging Raman spectroscopy instruments.

Improving the signal-to-noise ratio of high-speed contact mode atomic force microscopy

2012 ◽  
Vol 83 (8) ◽  
pp. 083710 ◽  
Author(s):  
O. D. Payton ◽  
L. Picco ◽  
M. J. Miles ◽  
M. E. Homer ◽  
A. R. Champneys
Keyword(s):  
Atomic Force Microscopy ◽  
High Speed ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Contact Mode ◽  
Force Microscopy ◽  
Atomic Force ◽  
Noise Ratio ◽  
Mode Atomic Force Microscopy

A methodology for increasing the signal to noise ratio for the misfire detection at high speed in a high performance engine

2006 ◽  
Vol 14 (3) ◽  
pp. 243-250 ◽  
Author(s):  
Nicolò Cavina ◽  
Giovanni Cipolla ◽  
Francesco Marcigliano ◽  
Davide Moro ◽  
Luca Poggio
Keyword(s):  
High Speed ◽  
High Performance ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Misfire Detection
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