Optimization of CMOS active pixels with high signal-to-noise ratio for high-resolution X-ray imaging

2008 ◽  
Vol 591 (1) ◽  
pp. 248-251 ◽  
Author(s):  
Young Soo Kim ◽  
Kwang Hyun Kim ◽  
Gyuseong Cho
Keyword(s):  
High Resolution ◽  
Signal To Noise Ratio ◽  
High Signal ◽  
Signal To Noise ◽  
X Ray ◽  
X Ray Imaging ◽  
Noise Ratio

Spatial resolution and signal-to-noise ratio in x-ray imaging

2019 ◽  
Author(s):  
Timur Gureyev ◽  
David M. Paganin ◽  
Alex Kozlov ◽  
Harry Quiney
Keyword(s):  
Spatial Resolution ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
X Ray ◽  
X Ray Imaging ◽  
Noise Ratio

scholarly journals Impact of lossy compression of X-ray projections onto reconstructed tomographic slices

2020 ◽  
Vol 27 (5) ◽  
pp. 1326-1338
Author(s):  
Federica Marone ◽  
Jakob Vogel ◽  
Marco Stampanoni
Keyword(s):  
Signal To Noise Ratio ◽  
Lossy Compression ◽  
High Signal ◽  
Signal To Noise ◽  
Time Resolved ◽  
Data Archiving ◽  
X Ray ◽  
Compression Factor ◽  
Significant Burden ◽  
Noise Ratio

Modern detectors used at synchrotron tomographic microscopy beamlines typically have sensors with more than 4–5 mega-pixels and are capable of acquiring 100–1000 frames per second at full frame. As a consequence, a data rate of a few TB per day can easily be exceeded, reaching peaks of a few tens of TB per day for time-resolved tomographic experiments. This data needs to be post-processed, analysed, stored and possibly transferred, imposing a significant burden onto the IT infrastructure. Compression of tomographic data, as routinely done for diffraction experiments, is therefore highly desirable. This study considers a set of representative datasets and investigates the effect of lossy compression of the original X-ray projections onto the final tomographic reconstructions. It demonstrates that a compression factor of at least three to four times does not generally impact the reconstruction quality. Potentially, compression with this factor could therefore be used in a transparent way to the user community, for instance, prior to data archiving. Higher factors (six to eight times) can be achieved for tomographic volumes with a high signal-to-noise ratio as it is the case for phase-retrieved datasets. Although a relationship between the dataset signal-to-noise ratio and a safe compression factor exists, this is not simple and, even considering additional dataset characteristics such as image entropy and high-frequency content variation, the automatic optimization of the compression factor for each single dataset, beyond the conservative factor of three to four, is not straightforward.

Signal-to-noise ratio analysis of the optically coupled CCD x-ray imaging system

1994 ◽  
Author(s):  
Hong Liu ◽  
Andrew Karellas ◽  
Lisa J. Harris ◽  
Carl J. D'Orsi
Keyword(s):  
Imaging System ◽  
Signal To Noise Ratio ◽  
Ratio Analysis ◽  
Signal To Noise ◽  
X Ray ◽  
X Ray Imaging ◽  
Noise Ratio

scholarly journals Seismology of southern Be stars

1994 ◽  
Vol 162 ◽  
pp. 104-105
Author(s):  
Eduardo Janot-Pacheco ◽  
Nelson Vani Leister
Keyword(s):  
High Resolution ◽  
Signal To Noise Ratio ◽  
Ccd Camera ◽  
High Signal ◽  
Be Stars ◽  
Signal To Noise ◽  
Photometric Variability ◽  
Spectroscopic Observations ◽  
Photometric Observations ◽  
Noise Ratio

We have started in 1990 a search for moving bumps in the HeI λ 667.8 nm of mainly southern, bright Be stars. The objects of our sample have been selected on the basis of photometric variability (Cuypers et al., 1989). High resolution (R≥ 30,000), high signal-to-noise ratio (S/R≥ 300) spectroscopic observations have been performed at the brazilian Laboratório Nacional de Astrofísica with a CCD camera attached to the coudé spectrograph of the 1.60 m telescope (e.g. Table I). Several hundred spectra have been taken during the last three years. Photometric observations simultaneous with spectroscopy were made on the same site in July 1992 with a two-channel photometer (Stromgren b filter) and a CCD camera (Johnson B filter) installed at two 0.60 m telescopes. The idea is try to disentangle the controversy between NRP and RM models with the help of simultaneous spectroscopy and photometry.

Signal-to-noise-ratio (SNR) of X-ray imaging scintillators determined by luminescence measurements

1999 ◽  
Vol 51 (1) ◽  
pp. 59-68 ◽  
Author(s):  
D. Cavouras ◽  
I. Kandarakis ◽  
M. Kanellopoulos ◽  
C.D. Nomicos ◽  
G.S. Panayiotakis
Keyword(s):  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
X Ray ◽  
X Ray Imaging ◽  
Noise Ratio
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