scholarly journals HREM Image Analysis by Fourier Filtering of Reflections with Long Extinction Distances: Application to the Spinel/MgO System

1997 ◽  
Vol 8 (2) ◽  
pp. 89-102 ◽  
Author(s):  
Reinald Hillebrand ◽  
Peter Werner ◽  
Heino Sieber ◽  
Dietrich Hesse
Keyword(s):  
Image Analysis ◽  
Hrem Image ◽  
Fourier Filtering

scholarly journals MEASUREMENTS OF STRAIN FIELDS DUE TO NANOSCALE PRECIPITATES USING THE PHASE IMAGE METHOD

2011 ◽  
Vol 20 (3) ◽  
pp. 213
Author(s):  
Patricia Donnadieu ◽  
Kenji Matsuda ◽  
Thierry Epicier ◽  
Joel Douin
Keyword(s):  
Image Analysis ◽  
Strain Field ◽  
Dislocation Motion ◽  
Phase Image ◽  
Image Method ◽  
Hrem Image ◽  
Strain Fields ◽  
The Matrix ◽  
Field Information ◽  
The Impact

Owing the phase image method (Hytch, 1998), strain fields can be derived from HREM images. The method is here applied to the nanoscale precipitates responsible for hardening in Aluminum alloys. Since the method is a very sensitive one, we have examined the impact of several aspects of the image quality (noise, fluctuations, distortion). The strain field information derived from the HREM image analysis is further introduced in a simulation of the dislocation motion in the matrix.

HREM Image Analysis of III-V Heterostructures Based on Neural Networks

2000 ◽  
Vol 222 (1) ◽  
pp. 185-198 ◽  
Author(s):  
R. Hillebrand ◽  
H. Kirschner ◽  
P. Werner ◽  
U. G�sele
Keyword(s):  
Neural Networks ◽  
Image Analysis ◽  
Hrem Image

Neural networks for HREM image analysis

2000 ◽  
Vol 129 (1-4) ◽  
pp. 31-44 ◽  
Author(s):  
Holger Kirschner ◽  
Reinald Hillebrand
Keyword(s):  
Neural Networks ◽  
Image Analysis ◽  
Hrem Image

HREM Image Analysis up to Structure Determination of SbCrSe3: A New 1D Ferromagnet

1997 ◽  
Vol 132 (2) ◽  
pp. 257-266 ◽  
Author(s):  
V.V. Volkov ◽  
G. Van Tendeloo ◽  
J. Van Landuyt ◽  
S. Amelinckx ◽  
E.E. Busheva ◽  
...  
Keyword(s):  
Image Analysis ◽  
Structure Determination ◽  
Hrem Image

Automated Image Analysis Of Nuclear And Cytoplasmic Changes In Exfoliated Cells From Tracheas Treated With Carcinogen

1977 ◽  
Vol 35 ◽  
pp. 220-221
Author(s):  
S.F. Stinson ◽  
J.C. Lilga ◽  
M.B. Sporn
Keyword(s):  
Image Analysis ◽  
Pattern Analysis ◽  
Relative Proportion ◽  
Automated Image Analysis ◽  
Image Analyzer ◽  
Cross Sectional ◽  
Exfoliated Cells ◽  
Neoplastic Lesions ◽  
Analysis System ◽  
Morphologic Criterion

Increased nuclear size, resulting in an increase in the relative proportion of nuclear to cytoplasmic sizes, is an important morphologic criterion for the evaluation of neoplastic and pre-neoplastic cells. This paper describes investigations into the suitability of automated image analysis for quantitating changes in nuclear and cytoplasmic cross-sectional areas in exfoliated cells from tracheas treated with carcinogen.Neoplastic and pre-neoplastic lesions were induced in the tracheas of Syrian hamsters with the carcinogen N-methyl-N-nitrosourea. Cytology samples were collected intra-tracheally with a specially designed catheter (1) and stained by a modified Papanicolaou technique. Three cytology specimens were selected from animals with normal tracheas, 3 from animals with dysplastic changes, and 3 from animals with epidermoid carcinoma. One hundred randomly selected cells on each slide were analyzed with a Bausch and Lomb Pattern Analysis System automated image analyzer.

Progress In The Practical Application Of Automated Image Analysis To Tem Negatives

1977 ◽  
Vol 35 ◽  
pp. 214-217
Author(s):  
F. A. Heckman ◽  
E. Redman ◽  
J.E. Connolly
Keyword(s):  
Image Analysis ◽  
Image Quality ◽  
Exposure Time ◽  
Image Contrast ◽  
Automated Image Analysis ◽  
Practical Application ◽  
Factors Affecting ◽  
High Image Quality ◽  
Qualitative Evidence ◽  
Comprehensive Study

In our initial publication on this subject1) we reported results demonstrating that contrast is the most important factor in producing the high image quality required for reliable image analysis. We also listed the factors which enhance contrast in order of the experimentally determined magnitude of their effect. The two most powerful factors affecting image contrast attainable with sheet film are beam intensity and KV. At that time we had only qualitative evidence for the ranking of enhancing factors. Later we carried out the densitometric measurements which led to the results outlined below.Meaningful evaluations of the cause-effect relationships among the considerable number of variables in preparing EM negatives depend on doing things in a systematic way, varying only one parameter at a time. Unless otherwise noted, we adhered to the following procedure evolved during our comprehensive study:Philips EM-300; 30μ objective aperature; magnification 7000- 12000X, exposure time 1 second, anti-contamination device operating.

A New System For Optomanual Semiautomatic Quantitative Image Analysis

1977 ◽  
Vol 35 ◽  
pp. 210-211
Author(s):  
H.P. Rohr
Keyword(s):  
Image Analysis ◽  
Volume Density ◽  
List Type ◽  
Distribution Analysis ◽  
Type Number ◽  
Point Counting ◽  
Human Eye ◽  
Quantitative Image ◽  
Point Density ◽  
Electronic Counting

Today, in image analysis the broadest possible rationalization and economization have become desirable. Basically, there are two approaches for image analysis: The image analysis through the so-called scanning methods which are usually performed without the human eye and the systems of optical semiautomatic analysis completely relying on the human eye.The new MOP AM 01 opto-manual system (fig.) represents one of the very promising approaches in this field. The instrument consists of an electronic counting and storing unit, which incorporates a microprocessor and a keyboard for choice of measuring parameters, well designed for easy use.Using the MOP AM 01 there are three possibilities of image analysis:the manual point counting,the opto-manual point counting andthe measurement of absolute areas and/or length (size distribution analysis included).To determine a point density for the calculation of the corresponding volume density the intercepts lying within the structure are scanned with the light pen.

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