Optimising image quality in 2D and 3D confocal Raman mapping

2013 ◽  
Vol 45 (1) ◽  
pp. 133-138 ◽  
Author(s):  
Neil Everall
2014 ◽  
Vol 75 (S 02) ◽  
Author(s):  
Gerlig Widmann ◽  
P. Schullian ◽  
R. Hoermann ◽  
E. Gassner ◽  
H. Riechelmann ◽  
...  

2014 ◽  
Vol 1 (2) ◽  
pp. 71-83 ◽  
Author(s):  
Tudor Trache ◽  
Stephan Stöbe ◽  
Adrienn Tarr ◽  
Dietrich Pfeiffer ◽  
Andreas Hagendorff

Comparison of 3D and 2D speckle tracking performed on standard 2D and triplane 2D datasets of normal and pathological left ventricular (LV) wall-motion patterns with a focus on the effect that 3D volume rate (3DVR), image quality and tracking artifacts have on the agreement between 2D and 3D speckle tracking. 37 patients with normal LV function and 18 patients with ischaemic wall-motion abnormalities underwent 2D and 3D echocardiography, followed by offline speckle tracking measurements. The values of 3D global, regional and segmental strain were compared with the standard 2D and triplane 2D strain values. Correlation analysis with the LV ejection fraction (LVEF) was also performed. The 3D and 2D global strain values correlated good in both normally and abnormally contracting hearts, though systematic differences between the two methods were observed. Of the 3D strain parameters, the area strain showed the best correlation with the LVEF. The numerical agreement of 3D and 2D analyses varied significantly with the volume rate and image quality of the 3D datasets. The highest correlation between 2D and 3D peak systolic strain values was found between 3D area and standard 2D longitudinal strain. Regional wall-motion abnormalities were similarly detected by 2D and 3D speckle tracking. 2DST of triplane datasets showed similar results to those of conventional 2D datasets. 2D and 3D speckle tracking similarly detect normal and pathological wall-motion patterns. Limited image quality has a significant impact on the agreement between 3D and 2D numerical strain values.


2018 ◽  
Vol 15 (3) ◽  
pp. 851-860 ◽  
Author(s):  
Patrick J. Cosme ◽  
Jing Ye ◽  
Shalondria Sears ◽  
Ewa P. Wojcikiewicz ◽  
Andrew C. Terentis

2018 ◽  
Author(s):  
Alberto Lauri ◽  
Leonora Velleman ◽  
Xiaofei Xiao ◽  
Emiliano Cortés ◽  
Joshua B. Edel ◽  
...  

2020 ◽  
Vol 74 (10) ◽  
pp. 1230-1237
Author(s):  
Xiang Ding ◽  
Yanzhe Fu ◽  
Jiyan Zhang ◽  
Yao Hu ◽  
Shihang Fu

The confocal Raman microscope (CRM) is a powerful tool in analytical science. Image quality is the most important performance indicator of CRM systems. The point spread function (PSF) is one of the most useful tools to evaluate the image quality of microscopic systems. A method based on a point-like object is proposed to measure the PSF of CRM, and the size effect of spherical objects is discussed. A series of phantoms are fabricated by embedding different sizes of polystyrene microspheres into polydimethylsiloxane matrix. The diameters of microspheres are from 0.2 µm to 5 µm. The phantoms are tested by measuring the PSF of a commercial CRM whose nominal lateral resolution is about 1 µm. Results of the PSF are obtained and the accuracy of resolution is used to evaluate the size effect of the microspheres. Experimental results are well consistent with theoretical analysis. The error of the PSF can be decreased by reducing the diameter of the microsphere but meanwhile the signal-to-noise ratio (S/N) will be lowered as well. The proper diameter of microspheres is proposed in consideration of the trade-off between the S/N and the measurement error of the PSF. Results indicate that the method provides a useful approach to measurement of the PSF and the resolution of the CRM.


2014 ◽  
Vol 104 (15) ◽  
pp. 151906 ◽  
Author(s):  
S. Nagarajan ◽  
O. Svensk ◽  
L. Lehtola ◽  
H. Lipsanen ◽  
M. Sopanen

2005 ◽  
Vol 17 (21) ◽  
pp. 2549-2553 ◽  
Author(s):  
A. Brillante ◽  
I. Bilotti ◽  
R. G. Della Valle ◽  
E. Venuti ◽  
M. Masino ◽  
...  

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