Microdensitometers and Data Processing for Electron Microscopy

Author(s):  
Robert Bender ◽  
James E. Rowe

Most of the information obtainable from transmission electron microscopy is lost in the course of normal ‘print and look’ handling -or at least made difficult to retrieve. Not only is there an actual degradation of information, but operations such as the measurement of areas etc. are then carried out manually at great cost in time, and loss of accuracy. One of the main causes of loss of accuracy is the understandable reluctance of competent persons to do a great deal of highly repetitive work. Unfortunately in order to get good error bounds in most cases of interest multiple measurements must be made. Data processing technology is now sufficiently developed to make automatic picture processing an attractive and realizable goal. While this is not specifically a paper on image processing, some simple and possibly generally useful algorithms will be presented.The first step in any data processing schema is data acquisition. In the case of transmission electron microscopy several methods are available, some with advantages in unique situations.

2013 ◽  
Vol 19 (S2) ◽  
pp. 772-773
Author(s):  
Q.M. Ramasse ◽  
M.C. Sarahan ◽  
D.G. Morgan ◽  
N.D. Browning

Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.


2013 ◽  
Vol 774-776 ◽  
pp. 1262-1266
Author(s):  
Manop Phankokkruad ◽  
Wacharawichanant Sirirat

The analysis of material particles in the transmission electron microscopy (TEM) image is the most important in the development and synthesis of the new materials for application in many fields. Manual identification is the hard work, spent a lot of time and inaccurate method. To solve this problem, the image processing is proposed for automatically identifies the material particles boundary and size in TEM images in or order to extract the useful data. The image processing method has been experimented on variety of TEM images and very promising results have been achieved given more accuracy. Experimental results show that the proposed method gave the high adaptability, more accurate and rapidly than the manual method.


2018 ◽  
Vol 48 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Hyosun Choi ◽  
Hyunbum Jeon ◽  
Seulgi Noh ◽  
Ohkyung Kwon ◽  
Ji Young Mun

2012 ◽  
Vol 18 (S5) ◽  
pp. 3-4 ◽  
Author(s):  
M. C. Proença ◽  
J. F. Moura Nunes ◽  
A. P. Alves de Matos

Automatic image processing of transmission electron microscopy images (TEM) is a utopia often pursued, considering the thousands of images necessary to ensure a high resolution 3D reconstruction of virus particles or other macromolecular machines.


2002 ◽  
Vol 387 (1) ◽  
pp. 145-150 ◽  
Author(s):  
Kyoichi Oshida ◽  
Kozo Osawa ◽  
Tatsuo Nakazawa ◽  
Yasuo Fukai ◽  
Takuya Hayashi ◽  
...  

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