scholarly journals Follicular thyroid lesions: is there a discriminatory potential in the computerized nuclear analysis?

2018 ◽  
Vol 7 (8) ◽  
pp. 907-913 ◽  
Author(s):  
Flávia O Valentim ◽  
Bárbara P Coelho ◽  
Hélio A Miot ◽  
Caroline Y Hayashi ◽  
Danilo T A Jaune ◽  
...  
Keyword(s):  
Image Analysis ◽  
Diagnostic Efficiency ◽  
Cell Nuclei ◽  
Histological Differentiation ◽  
Support Tool ◽  
Computerized Image Analysis ◽  
Chromatin Texture ◽  
Diagnostic Sensitivity And Specificity ◽  
Follicular Tumors ◽  
Diagnostic Support

Background Computerized image analysis seems to represent a promising diagnostic possibility for thyroid tumors. Our aim was to evaluate the discriminatory diagnostic efficiency of computerized image analysis of cell nuclei from histological materials of follicular tumors. Methods We studied paraffin-embedded materials from 42 follicular adenomas (FA), 47 follicular variants of papillary carcinomas (FVPC) and 20 follicular carcinomas (FC) by the software ImageJ. Based on the nuclear morphometry and chromatin texture, the samples were classified as FA, FC or FVPC using the Classification and Regression Trees method. Results We observed high diagnostic sensitivity and specificity rates (FVPC: 89.4% and 100%; FC: 95.0% and 92.1%; FA: 90.5 and 95.5%, respectively). When the tumors were compared by pairs (FC vs FA, FVPC vs FA), 100% of the cases were classified correctly. Conclusion The computerized image analysis of nuclear features showed to be a useful diagnostic support tool for the histological differentiation between follicular adenomas, follicular variants of papillary carcinomas and follicular carcinomas.

scholarly journals Digital confocal microscopy allows measurement and three-dimensional multiple spectral reconstruction of Neisseria gonorrhoeae/epithelial cell interactions in the human fallopian tube organ culture model.

1994 ◽  
Vol 42 (3) ◽  
pp. 297-306 ◽  
Author(s):  
G L Gorby
Keyword(s):  
Image Analysis ◽  
Confocal Microscopy ◽  
Neisseria Gonorrhoeae ◽  
Organ Culture ◽  
Fallopian Tube ◽  
Three Dimensional ◽  
Target Tissue ◽  
Cell Nuclei ◽  
Computerized Image Analysis ◽  
Human Fallopian Tube

A strategy for measuring Neisseria gonorrhoeae attachment and invasion in the human Fallopian tube organ culture (FTOC) model via computerized image analysis (CIA) combined with "digital" confocal microscopy (DCM) was tested. DCM on serial image stacks of fluorescent latex beads reduced out-of-focus light propagation in the Z-axis (p < 0.005) and improved the shape factor of lateral three-dimensional reconstructions of the beads (p < 0.001). Sections of tissue infected for 44 hr with piliated, Opa+ gonococci were stained with fluorescein-labeled monoclonal anti-gonococcal antibodies, rhodamine-labeled phalloidin, and Hoechst 33342. Serial images collected at identical focal planes for each fluorochrome were subjected to DCM. Epithelial cytoplasmic regions of interest defined by rhodamine-stained actin were superimposed on the corresponding fluorescein-stained and Hoechst-stained images. Fluorescent objects defined by gray-scale threshold were measured by computerized image analysis using different border treatments to differentiate attached from intracellular gonococci or count cell nuclei. Compared with raw images, measurement of DCM images was less dependent on threshold choice (p < 0.05). DCM augments conventional microscopy in removing out-of-focus light from fluorescent images, in reconstructing three-dimensional images, and in quantitatively differentiating extracellular from intracellular gonococci in a natural target tissue.

Application of Image Analysis System for Study of Activated Sludge Flocs

1986 ◽  
Vol 21 (1) ◽  
pp. 130-140 ◽  
Author(s):  
Da-hong Li ◽  
J. J. Ganczarczyk
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Statistical Processing ◽  
Equivalent Diameter ◽  
Image Analysis System ◽  
Sectional Area ◽  
Cross Sectional ◽  
Computerized Image Analysis ◽  
Sludge Flocs ◽  
Analysis System

Abstract The computerized image analysis system has been successfully used for determination and statistical processing of the following geometric characteristics of activated sludge flocs: longest dimension, breadth, equivalent diameter, cross-sectional area, perimeter, elongation, and circularity. These parameters could be effectively and precisely determined by the system applied. In addition, the studied method, as compared to direct microscope observation and photography floc-sizing methods, was found to be more accurate, less time-consuming, and less dependent on the investigators.

Nerve Growth Factor Enhances Nerve Regeneration through Fibronectin Grafts

1996 ◽  
Vol 21 (4) ◽  
pp. 514-522 ◽  
Author(s):  
I. H. WHITWORTH ◽  
R. A. BROWN ◽  
C. J. DORÉ ◽  
P. ANAND ◽  
C. J. GREEN ◽  
...  
Keyword(s):  
Image Analysis ◽  
Nerve Growth Factor ◽  
Growth Factor ◽  
Schwann Cell ◽  
Nerve Regeneration ◽  
Axonal Regeneration ◽  
Cell Regeneration ◽  
Nerve Growth ◽  
Computerized Image Analysis ◽  
Immunohistochemical Techniques

Soluble fibronectin and nerve growth factor (NGF) promote axonal regeneration when placed in silicone tubes. We investigated the ability of orientated fibronectin mats to bind and release bioactive NGF and the possibility of augmenting axonal regeneration following axotomy by using fibronectin conduits impregnated with NGF. The release of NGF was quantified using a fluorometric ELISA and bioactivity confirmed with a neuronal culture bioassay. Immunohistochemical techniques and computerized image analysis were used to assess the rate and volume of axonal and Schwann cell regeneration. The delivery of NGF to the site of injury produced an increase in the rate ( P≤0.007) and volume ( P≤0.004) of both axonal and Schwann cell regeneration when compared to conduits of plain fibronectin. We conclude that the local delivery of NGF by impregnated fibronectin conduits enhances axonal regeneration.

A Computerized Image Analysis Method for Measuring Elastic Tissue.

1989 ◽  
Vol 93 (3) ◽  
pp. 358-362 ◽  
Author(s):  
Thomas J. Flotte ◽  
Johanna M. Seddon ◽  
Yuqing Zhang ◽  
Robert J. Glynn ◽  
Kathleen M. Egan ◽  
...  
Keyword(s):  
Image Analysis ◽  
Elastic Tissue ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Computerized Image Analysis

A COMPARISON OF COMPUTERIZED IMAGE ANALYSIS AND STEREOLOGY AS TOOLS FOR MORPHOLOGICAL STUDY OF ALGAL CELLS

1998 ◽  
Vol 46 (2) ◽  
pp. 177-180 ◽  
Author(s):  
Tamar Fisher ◽  
Tamar Berner ◽  
Adiv Gal ◽  
Zvy Dubinsky
Keyword(s):  
Image Analysis ◽  
Light Intensity ◽  
Morphometric Analysis ◽  
Morphological Study ◽  
Marine Alga ◽  
Relative Volume ◽  
Low Light ◽  
Computerized Image Analysis ◽  
Analysis Package ◽  
Laborious Method

A computerized image analysis package (ImagePro+) was evaluated as an alternative method for morphometric analysis of electron micrographs of microalgal cells. The morphometric analysis was demonstrated with micrographs of the marine alga Nannochloropsis sp. grown under high and low light intensity. We applied the ImagePro+ package to estimate the relative volume of an organelle based on the ratio of perimeters of the organelle and the cell. The measurements included the volumes of chloroplasts, mitochondria, nuclei, vacuoles, and accumulation bodies, all relative to cell volume. The length of thylakoids was measured using the same package. The results obtained by ImagePro+ were compared to those of the traditional manual and laborious method involving the superimposition of an array of short lines on the micrograph. A high correlation between the methods was found. The following correlations were found for chloroplast, nucleus, and accumulation bodies: 0.96, 0.92, and 0.75, respectively. The correlation between length of thylakoids (ImagePro+) and surface area of thylakoids (superimposition) was 0.82.

Feasibility of streamlining an interactive Bayesian-based diagnostic support tool designed for clinical practice

2016 ◽  
Author(s):  
Po-Hao Chen ◽  
Emmanuel Botzolakis ◽  
Suyash Mohan ◽  
R. N. Bryan ◽  
Tessa Cook
Keyword(s):  
Clinical Practice ◽  
Support Tool ◽  
Diagnostic Support
Sign in / Sign up

Export Citation Format

Share Document