scholarly journals Diagnosis of urinary bladder diseases in dogs by using two-dimensional and three-dimensional ultrasonography

2015 ◽  
Vol 8 (7) ◽  
pp. 819-822 ◽  
Author(s):  
Dinesh Dehmiwal ◽  
S.M. Behl ◽  
Prem Singh ◽  
Rishi Tayal ◽  
Madan Pal ◽  
...  
Keyword(s):  
Urinary Bladder ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Bladder Diseases ◽  
Urinary Bladder Diseases

scholarly journals Intravesical drug delivery approaches for improved therapy of urinary bladder diseases

2021 ◽  
pp. 100100
Author(s):  
Luca Palugan ◽  
Matteo Cerea ◽  
Micol Cirilli ◽  
Saliha Moutaharrik ◽  
Alessandra Maroni ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Urinary Bladder ◽  
Bladder Diseases ◽  
Urinary Bladder Diseases

Association between case signalment and disease diagnosis in urinary bladder disease in Australian cats and dogs

2021 ◽  
pp. 104063872110040
Author(s):  
Emily Jones ◽  
John Alawneh ◽  
Mary Thompson ◽  
Rachel Allavena
Keyword(s):  
Logistic Regression ◽  
Urinary Bladder ◽  
Disease Diagnosis ◽  
Bladder Tissue ◽  
Laboratory Service ◽  
Bladder Disease ◽  
Increased Risk ◽  
Bladder Diseases ◽  
Urinary Bladder Diseases ◽  
The University

Urinary bladder diseases are common in dogs and cats; however, there is little published work on urinary bladder disease in Australian pets. We identified pathology records of Australian dogs and cats with urinary bladder tissue submitted to the University of Queensland Veterinary Laboratory Service during 1994–2016 ( n = 320). We described the proportion of bladder diseases in dogs and cats, and applied the less-commonly used logistic regression procedure to quantify associations between signalment variables and disease diagnosis that were evident using descriptive statistics alone. After preliminary analysis, both species were combined because of similar results. Spayed/castrated animals were 74% less likely to be diagnosed with cystitis compared with intact animals. Animals 4–11 y old were also at lower risk of being diagnosed with cystitis compared with younger or older animals. Male animals were at increased risk of neoplasia compared to females, which contrasts with reports from North America and Europe. There was increased risk for developing neoplasia with progressive age, with up to 20 times higher odds in the > 11-y age group. Logistic regression modeling provided unique insight into proportionate morbidity of urinary bladder diseases in Australian dogs and cats.

Urinary Bladder Diseases

2010 ◽  
pp. 199-199
Author(s):  
Suresh Bakle ◽  
Bipin Daga
Keyword(s):  
Urinary Bladder ◽  
Bladder Diseases ◽  
Urinary Bladder Diseases

A novel excitation-emission wavelength model to facilitate the diagnosis of urinary bladder diseases

2015 ◽  
Author(s):  
Ilya Rafailov ◽  
Scott Palmer ◽  
Karina Litvinova ◽  
Victor Dremin ◽  
Andrey Dunaev ◽  
...  
Keyword(s):  
Urinary Bladder ◽  
Emission Wavelength ◽  
Bladder Diseases ◽  
Urinary Bladder Diseases

High Resolution Microscopy of Multi-Layered Biological Crystals

1982 ◽  
Vol 40 ◽  
pp. 80-83
Author(s):  
H.A. Cohen ◽  
T.W. Jeng ◽  
W. Chiu
Keyword(s):  
High Resolution ◽  
Low Dose ◽  
Three Dimensional ◽  
Data Interpretation ◽  
Two Dimensional ◽  
Biological Objects ◽  
Density Maps ◽  
Density Map ◽  
Complex Crystal ◽  
High Resolution Microscopy

This tutorial will discuss the methodology of low dose electron diffraction and imaging of crystalline biological objects, the problems of data interpretation for two-dimensional projected density maps of glucose embedded protein crystals, the factors to be considered in combining tilt data from three-dimensional crystals, and finally, the prospects of achieving a high resolution three-dimensional density map of a biological crystal. This methodology will be illustrated using two proteins under investigation in our laboratory, the T4 DNA helix destabilizing protein gp32*I and the crotoxin complex crystal.

Instrumentation For Quantitative Microscopy

1977 ◽  
Vol 35 ◽  
pp. 206-209
Author(s):  
B. Ralph ◽  
A.R. Jones
Keyword(s):  
Volume Fraction ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Automatic Data ◽  
Phase Volume Fraction ◽  
Statistical Confidence ◽  
Resultant Data ◽  
Automatic Data Collection ◽  
Third Dimension ◽  
Evolution Of Microstructure

In all fields of microscopy there is an increasing interest in the quantification of microstructure. This interest may stem from a desire to establish quality control parameters or may have a more fundamental requirement involving the derivation of parameters which partially or completely define the three dimensional nature of the microstructure. This latter categorey of study may arise from an interest in the evolution of microstructure or from a desire to generate detailed property/microstructure relationships. In the more fundamental studies some convolution of two-dimensional data into the third dimension (stereological analysis) will be necessary.In some cases the two-dimensional data may be acquired relatively easily without recourse to automatic data collection and further, it may prove possible to perform the data reduction and analysis relatively easily. In such cases the only recourse to machines may well be in establishing the statistical confidence of the resultant data. Such relatively straightforward studies tend to result from acquiring data on the whole assemblage of features making up the microstructure. In this field data mode, when parameters such as phase volume fraction, mean size etc. are sought, the main case for resorting to automation is in order to perform repetitive analyses since each analysis is relatively easily performed.

A linearity test for thick specimens imaged by HVEM over a 180° angular range

1991 ◽  
Vol 49 ◽  
pp. 552-553
Author(s):  
Yu Liu
Keyword(s):  
Phase Contrast ◽  
Three Dimensional ◽  
Angular Range ◽  
Two Dimensional ◽  
Back Projection ◽  
Line Integral ◽  
Exponential Law ◽  
Transmission Electron ◽  
Absorption Law ◽  
Linearity Test

The image obtained in a transmission electron microscope is the two-dimensional projection of a three-dimensional (3D) object. The 3D reconstruction of the object can be calculated from a series of projections by back-projection, but this algorithm assumes that the image is linearly related to a line integral of the object function. However, there are two kinds of contrast in electron microscopy, scattering and phase contrast, of which only the latter is linear with the optical density (OD) in the micrograph. Therefore the OD can be used as a measure of the projection only for thin specimens where phase contrast dominates the image. For thick specimens, where scattering contrast predominates, an exponential absorption law holds, and a logarithm of OD must be used. However, for large thicknesses, the simple exponential law might break down due to multiple and inelastic scattering.

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