An image analysis approach for automatic malignancy determination of prostate pathological images

2007 ◽  
Vol 72B (4) ◽  
pp. 227-240 ◽  
Author(s):  
Reza Farjam ◽  
Hamid Soltanian-Zadeh ◽  
Kourosh Jafari-Khouzani ◽  
Reza A. Zoroofi
Author(s):  
Chetana Rao ◽  
Erol Tutumluer

The importance of using quality aggregates with specific gradation and shape properties in asphalt concrete has been recognized by the Strategic Highway Research Program under a set of developed consensus aggregate properties. The flat and elongated ratio and angularity of the aggregate particles are those properties that directly influence the rutting potential of an asphalt pavement. Along with a need to develop rapid and automated methods for determining flat and elongated ratios of individual aggregate particles, there is also a need to develop an accurate and repeatable experimental technique. A new aggregate image analyzer has been recently developed at the University of Illinois that uses three video cameras for accurately determining the volume of each aggregate and for automating the determination of flat and elongated particles, angularity, and gradation. A new image-analysis approach determines the percentage by weight of the flat and elongated particles providing results comparable to the manual results from ASTM D4791 by presenting the results as ratios of weights. The significance of making such accurate volume computations of an individual aggregate using images is discussed. The computed aggregate volumes and the percentages by weight of flat and elongated ratios obtained for two bag samples were in very good agreement with the manual measurements, thus validating the correctness of the imaging technique and the effectiveness of the new aggregate image analyzer.


Author(s):  
T.B. Ball ◽  
W.M. Hess

It has been demonstrated that cross sections of bundles of hair can be effectively studied using image analysis. These studies can help to elucidate morphological differences of hair from one region of the body to another. The purpose of the present investigation was to use image analysis to determine whether morphological differences could be demonstrated between male and female human Caucasian terminal scalp hair.Hair samples were taken from the back of the head from 18 caucasoid males and 13 caucasoid females (Figs. 1-2). Bundles of 50 hairs were processed for cross-sectional examination and then analyzed using Prism Image Analysis software on a Macintosh llci computer. Twenty morphological parameters of size and shape were evaluated for each hair cross-section. The size parameters evaluated were area, convex area, perimeter, convex perimeter, length, breadth, fiber length, width, equivalent diameter, and inscribed radius. The shape parameters considered were formfactor, roundness, convexity, solidity, compactness, aspect ratio, elongation, curl, and fractal dimension.


Author(s):  
William A. Heeschen

Two new morphological measurements based on digital image analysis, CoContinuity and CoContinuity Balance, have been developed and implemented for quantitative measurement of morphology in polymer blends. The morphology of polymer blends varies with phase ratio, composition and processing. A typical morphological evolution for increasing phase ratio of polymer A to polymer B starts with discrete domains of A in a matrix of B (A/B < 1), moves through a cocontinuous distribution of A and B (A/B ≈ 1) and finishes with discrete domains of B in a matrix of A (A/B > 1). For low phase ratios, A is often seen as solid convex particles embedded in the continuous B phase. As the ratio increases, A domains begin to evolve into irregular shapes, though still recognizable as separate domains. Further increase in the phase ratio leads to A domains which extend into and surround the B phase while the B phase simultaneously extends into and surrounds the A phase.


Meat Science ◽  
2021 ◽  
pp. 108549
Author(s):  
Bethany Uttaro ◽  
Sophie Zawadski ◽  
Ivy Larsen ◽  
Manuel Juárez

1994 ◽  
Vol 126 (2) ◽  
pp. 433-443 ◽  
Author(s):  
A McGough ◽  
M Way ◽  
D DeRosier

The three-dimensional structure of actin filaments decorated with the actin-binding domain of chick smooth muscle alpha-actinin (alpha A1-2) has been determined to 21-A resolution. The shape and location of alpha A1-2 was determined by subtracting maps of F-actin from the reconstruction of decorated filaments. alpha A1-2 resembles a bell that measures approximately 38 A at its base and extends 42 A from its base to its tip. In decorated filaments, the base of alpha A1-2 is centered about the outer face of subdomain 2 of actin and contacts subdomain 1 of two neighboring monomers along the long-pitch (two-start) helical strands. Using the atomic model of F-actin (Lorenz, M., D. Popp, and K. C. Holmes. 1993. J. Mol. Biol. 234:826-836.), we have been able to test directly the likelihood that specific actin residues, which have been previously identified by others, interact with alpha A1-2. Our results indicate that residues 86-117 and 350-375 comprise distinct binding sites for alpha-actinin on adjacent actin monomers.


2016 ◽  
Vol 56 (12) ◽  
pp. 2060 ◽  
Author(s):  
Serkan Ozkaya ◽  
Wojciech Neja ◽  
Sylwia Krezel-Czopek ◽  
Adam Oler

The objective of this study was to predict bodyweight and estimate body measurements of Limousin cattle using digital image analysis (DIA). Body measurements including body length, wither height, chest depth, and hip height of cattle were determined both manually (by measurements stick) and by using DIA. Body area was determined by using DIA. The images of Limousin cattle were taken while cattle were standing in a squeeze chute by a digital camera and analysed by image analysis software to obtain body measurements of each animal. While comparing the actual and predicted body measurements, the accuracy was determined as 98% for wither height, 97% for hip height, 94% for chest depth and 90.6% for body length. Regression analysis between body area and bodyweight yielded an equation with R2 of 61.5%. The regression equation, which included all body traits, resulted in an R2 value of 88.7%. The results indicated that DIA can be used for accurate prediction of body measurements and bodyweight of Limousin cattle.


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