Optimal Scaling of the Inverse Fraunhofer Diffraction Particle Sizing Problem: The linear system produced by quadrature

1987 ◽  
Vol 4 (1-4) ◽  
pp. 128-133 ◽  
Author(s):  
E. Dan Hirleman
2016 ◽  
Vol 45 (11) ◽  
pp. 1105002
Author(s):  
陈泉 CHEN Quan ◽  
刘伟 LIU Wei ◽  
窦智 YANG Lin ◽  
杨林 WANG Ya-jing ◽  
申晋 SHEN Jin

2009 ◽  
Vol 48 (25) ◽  
pp. 4842 ◽  
Author(s):  
Zhang Cao ◽  
Lijun Xu ◽  
Jie Ding

Author(s):  
Michael Robinson ◽  
Zakaria Mahmud ◽  
Orven F. Swenson ◽  
Justin Hoey

We developed a Small Particle Sizing Algorithm (SPSA) that utilizes Fresnel and Fraunhofer diffraction profiles to determine sizes of small spherical particles from 1 to 10 μm in diameter. The SPSA uses standard shadowgraphy techniques to generate an image of the diffraction profile from which two characteristic parameters are measured, image size and image slope. Over specified ranges, the combinations of these parameters are unique, enabling the simultaneous calculation of particle size and distance from the object plane of the CCD camera.


2015 ◽  
Vol 54 (18) ◽  
pp. 5842 ◽  
Author(s):  
Jiayi Zhou ◽  
Zhang Cao ◽  
Heng Xie ◽  
Lijun Xu

2017 ◽  
Vol 317 ◽  
pp. 95-103 ◽  
Author(s):  
Quan Chen ◽  
Wei Liu ◽  
WenJing Wang ◽  
John C. Thomas ◽  
Jin Shen

2014 ◽  
Vol 53 (27) ◽  
pp. 6185 ◽  
Author(s):  
Lijun Xu ◽  
Tianxiao Wei ◽  
Jiayi Zhou ◽  
Zhang Cao

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