Issue Information
(Source: Scanning)
Source: Scanning - June 5, 2016 Category: Radiology Tags: Issue Information Source Type: research
Unexpected Fe ‐enriched compounds observed in Mg–Ce alloy: An atomic‐scale STEM investigation
Scanning,Volume 38, Issue 6, Page 783-791, November/December 2016. (Source: Scanning)
Source: Scanning - June 2, 2016 Category: Radiology Authors: Jingxu Zheng
,
Bin Chen Source Type: research
Autoregressive linear least square single scanning electron microscope image signal ‐to‐noise ratio estimation
Scanning,Volume 38, Issue 6, Page 771-782, November/December 2016. (Source: Scanning)
Source: Scanning - June 2, 2016 Category: Radiology Authors: Kok Swee Sim
,
Syafiq NorHisham Source Type: research
Unexpected Fe ‐enriched compounds observed in Mg–Ce alloy: An atomic‐scale STEM investigation
Scanning,Volume 38, Issue 6, Page 783-791, November/December 2016. (Source: Scanning)
Source: Scanning - June 2, 2016 Category: Radiology Authors: Jingxu Zheng
,
Bin Chen Source Type: research
Autoregressive linear least square single scanning electron microscope image signal ‐to‐noise ratio estimation
Scanning,Volume 38, Issue 6, Page 771-782, November/December 2016. (Source: Scanning)
Source: Scanning - June 2, 2016 Category: Radiology Authors: Kok Swee Sim
,
Syafiq NorHisham Source Type: research
Unexpected Fe ‐enriched compounds observed in Mg–Ce alloy: An atomic‐scale STEM investigation
Scanning,Volume 38, Issue 6, Page 783-791, November/December 2016. (Source: Scanning)
Source: Scanning - June 2, 2016 Category: Radiology Source Type: research
Autoregressive linear least square single scanning electron microscope image signal ‐to‐noise ratio estimation
Scanning,Volume 38, Issue 6, Page 771-782, November/December 2016. (Source: Scanning)
Source: Scanning - June 2, 2016 Category: Radiology Source Type: research
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Scanning,Volume 38, Issue 6, Page 783-791, November/December 2016. (Source: Scanning)
Source: Scanning - June 2, 2016 Category: Radiology Source Type: research
---
Scanning,Volume 38, Issue 6, Page 771-782, November/December 2016. (Source: Scanning)
Source: Scanning - June 2, 2016 Category: Radiology Source Type: research
Autoregressive linear least square single scanning electron microscope image signal ‐to‐noise ratio estimation
Summary
A technique based on linear Least Squares Regression (LSR) model is applied to estimate signal‐to‐noise ratio (SNR) of scanning electron microscope (SEM) images. In order to test the accuracy of this technique on SNR estimation, a number of SEM images are initially corrupted with white noise. The autocorrelation function (ACF) of the original and the corrupted SEM images are formed to serve as the reference point to estimate the SNR value of the corrupted image. The LSR technique is then compared with the previous three existing techniques known as nearest neighbourhood, first‐order interpolation, and the com...
Source: Scanning - June 1, 2016 Category: Radiology Authors: Kok Swee Sim, Syafiq NorHisham Tags: Original Article Source Type: research
Unexpected Fe ‐enriched compounds observed in Mg–Ce alloy: An atomic‐scale STEM investigation
Summary
This paper investigates into the unexpected nanosize Fe‐enriched particles with defects incorporated, using EDS under STEM mode and atomic‐resolution HAADF. The particle that locates between eutectic Mg12Ce phase and α‐Mg phase is identified as CeFe2Si2 compound. Two types of defects are incorporated: Type‐I defect is Ce‐Si in a simple cubic lattice; Type‐II defect is Ce in a FCC lattice. The interface between the defect‐free CeFe2Si2 and the defects is fully coherent. In addition, another two Ce/Fe/Si‐enriched particles are observed, proving that the enrichment of Ce, Fe, and Si is not an accident...
Source: Scanning - June 1, 2016 Category: Radiology Authors: Jingxu Zheng, Bin Chen Tags: Original Article Source Type: research
Autoregressive linear least square single scanning electron microscope image signal‐to‐noise ratio estimation
Summary
A technique based on linear Least Squares Regression (LSR) model is applied to estimate signal‐to‐noise ratio (SNR) of scanning electron microscope (SEM) images. In order to test the accuracy of this technique on SNR estimation, a number of SEM images are initially corrupted with white noise. The autocorrelation function (ACF) of the original and the corrupted SEM images are formed to serve as the reference point to estimate the SNR value of the corrupted image. The LSR technique is then compared with the previous three existing techniques known as nearest neighbourhood, first‐order interpolation, and the com...
Source: Scanning - June 1, 2016 Category: Radiology Authors: Kok Swee Sim, Syafiq NorHisham Tags: Original Article Source Type: research
The effect of different beverages on the color and translucency of flowable composites
Scanning,Volume 38, Issue 6, Page 701-709, November/December 2016. (Source: Scanning)
Source: Scanning - May 25, 2016 Category: Radiology Authors: Muhammet Karadas Source Type: research
