scholarly journals Phenotypic Characterization of Toxic Compound Effects on Liver Spheroids Derived from iPSC Using Confocal Imaging and Three-Dimensional Image Analysis

2016 ◽  
Vol 14 (7) ◽  
pp. 381-394 ◽  
Author(s):  
Oksana Sirenko ◽  
Michael K. Hancock ◽  
Jayne Hesley ◽  
Dihui Hong ◽  
Avrum Cohen ◽  
...  
Keyword(s):  
Image Analysis ◽  
Three Dimensional ◽  
Confocal Imaging ◽  
Phenotypic Characterization ◽  
Toxic Compound ◽  
Dimensional Image

scholarly journals Characterization of three-dimensional cancer cell migration in mixed collagen-Matrigel scaffolds using microfluidics and image analysis

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171417 ◽  
Author(s):  
María Anguiano ◽  
Carlos Castilla ◽  
Martin Maška ◽  
Cristina Ederra ◽  
Rafael Peláez ◽  
...  
Keyword(s):  
Image Analysis ◽  
Cell Migration ◽  
Cancer Cell ◽  
Three Dimensional ◽  
Cancer Cell Migration

scholarly journals General Analytical Schemes for the Characterization of Pectin-Based Edible Gelled Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Maryam Haghighi ◽  
Karamatollah Rezaei
Keyword(s):  
Image Analysis ◽  
Three Dimensional ◽  
Analytical Techniques ◽  
Physicochemical Analysis ◽  
Visual Observation ◽  
Scientific Data ◽  
Rheological Measurement ◽  
Rheological Measurements ◽  
Analytical Approaches

Pectin-based gelled systems have gained increasing attention for the design of newly developed food products. For this reason, the characterization of such formulas is a necessity in order to present scientific data and to introduce an appropriate finished product to the industry. Various analytical techniques are available for the evaluation of the systems formulated on the basis of pectin and the designed gel. In this paper, general analytical approaches for the characterization of pectin-based gelled systems were categorized into several subsections including physicochemical analysis, visual observation, textural/rheological measurement, microstructural image characterization, and psychorheological evaluation. Three-dimensional trials to assess correlations among microstructure, texture, and taste were also discussed. Practical examples of advanced objective techniques including experimental setups for small and large deformation rheological measurements and microstructural image analysis were presented in more details.

Cancer Cell Image Analysis and Visualization

2012 ◽  
pp. 233-243
Author(s):  
Tae-Yun Kim ◽  
Hae-Gil Hwang ◽  
Heung-Kook Choi
Keyword(s):  
Image Analysis ◽  
Feature Extraction ◽  
Case Studies ◽  
Cancer Cell ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Dimensional Image ◽  
The Past ◽  
Cell Image ◽  
Cell Image Analysis

We review computerized cancer cell image analysis and visualization research over the past 30 years. Image acquisition, feature extraction, classification, and visualization from two-dimensional to three-dimensional image algorithms are introduced with case studies of bladder, prostate, breast, and renal carcinomas.

Three-Dimensional Image Analysis of Aggregate Particles from Orthogonal Projections

1996 ◽  
Vol 1526 (1) ◽  
pp. 98-103 ◽  
Author(s):  
C.-Y. Kuo ◽  
J.D. Frost ◽  
J.S. Lai ◽  
L.B. Wang
Keyword(s):  
Image Analysis ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Uniform Size ◽  
Standard Size ◽  
Orthogonal Projections ◽  
Projected Image ◽  
Dimensional Image ◽  
Area And Perimeter ◽  
Aggregate Particles

Digital image analysis provides the capability for rapid measurement of particle characteristics. When an image is captured and digitized, numerous measurements can be made in near real time for each particle. Usually, image analysis techniques treat particles as two-dimensional objects since only the two-dimensional projection of the particles is captured. In this study, three-dimensional analysis of aggregate particles that was performed by attaching aggregates in sample trays with two perpendicular faces is described. After the initial projected image of the aggregates is captured and measured, the sample trays are rotated 90 degrees so that the aggregates are now perpendicular to their original orientation and the dimensions of the aggregates in the new projected image are captured and measured. The long, intermediate, and short particle dimensions ( dL, dI, and dS, respectively) provide direct measures of the flatness and elongation of the particles. Some other shape indexes can also be derived from the measurements of area and perimeter length. The proposed image analysis method was verified by comparing the results obtained with manual measurements of particle dimensions for uniform size [passing 12.7 mm (1/2 in.) sieve and retained on 9.5 mm (3/8 in.) sieve] aggregates. Three-dimensional image analysis was also performed on five aggregates of standard size No. 89 from different sources, and the results are summarized herein. The proposed method is expected to improve field quality control of aggregates used in hot mix asphalt.

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