Statistical and cross-correlation structure of Jones-matrix images of polycrystalline films of biological fluids

Author(s):  
Alexander Ushenko ◽  
V. G. Zhytaryuk ◽  
A. V. Motrich ◽  
I. V. Soltys ◽  
O. V. Pavliukovich ◽  
...  
Author(s):  
Alexander Ushenko ◽  
Viktor Zhytaryuk ◽  
M. I. Sidor ◽  
O. Ya. Wanchulyak ◽  
A. V. Motrich ◽  
...  

Author(s):  
Olexander V. Dubolazov ◽  
Mikhailo Sakhnovskiy ◽  
M. S. Garazduyk ◽  
A.-V. Syvokorovskaya ◽  
G. B. Bodnar ◽  
...  

Laser Physics ◽  
2018 ◽  
Vol 28 (2) ◽  
pp. 025602 ◽  
Author(s):  
Vladimir A Ushenko ◽  
Alexander V Dubolazov ◽  
Leonid Y Pidkamin ◽  
Michael Yu Sakchnovsky ◽  
Anna B Bodnar ◽  
...  

2019 ◽  
Vol 12 (06) ◽  
pp. 1950017 ◽  
Author(s):  
V. A. Ushenko ◽  
A. Yu. Sdobnov ◽  
W. D. Mishalov ◽  
A. V. Dubolazov ◽  
O. V. Olar ◽  
...  

Algorithms for reconstruction of linear and circular birefringence-dichroism of optically thin anisotropic biological layers are presented. The technique of Jones-matrix tomography of polycrystalline films of biological fluids of various human organs has been developed and experimentally tested. The coordinate distributions of phase and amplitude anisotropy of bile films and synovial fluid taken from the knee joint are determined and statistically analyzed. Criteria (statistical moments of 3rd and 4th orders) of differential diagnostics of early stages of cholelithiasis and septic arthritis of the knee joint with excellent balanced accuracy were determined. Data on the diagnostic efficiency of the Jones-matrix tomography method for polycrystalline plasma (liver disease), urine (albuminuria) and cytological smears (cervical cancer) are presented.


Author(s):  
Oleg Vanchulyak ◽  
Alexander Ushenko ◽  
Viktor Zhytaryuk ◽  
Valentina Dvorjak ◽  
O. Pavlyukovich ◽  
...  

2014 ◽  
Author(s):  
N. I. Zabolotna ◽  
S. V. Pavlov ◽  
A. G. Ushenko ◽  
A. O. Karachevtsev ◽  
V. O. Savich ◽  
...  

2014 ◽  
Vol 51 (4) ◽  
pp. 1037-1050 ◽  
Author(s):  
Richard Finlay ◽  
Eugene Seneta

We construct random fields with Pólya-type autocorrelation function and dampened Pólya cross-correlation function. The marginal distribution of the random fields may be taken as any infinitely divisible distribution with finite variance, and the random fields are fully characterized in terms of their joint characteristic function. This makes available a new class of non-Gaussian random fields with flexible correlation structure for use in modeling and estimation.


2014 ◽  
Author(s):  
O. G. Ushenko ◽  
M. I. Sidor ◽  
M. Garazdiuk ◽  
M. V. Gritsiuk ◽  
O. V. Sobko

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