MEASUREMENT OF FRACTAL PROPERTIES OF SOOT AGGLOMERATES IN LAMINAR COFLOW DIFFUSION FLAMES USING THERMOPHORETIC SAMPLING IN CONJUNCTION WITH TRANSMISSION ELECTRON MICROSCOPY AND IMAGE PROCESSING

2001 ◽  
Vol 171 (1) ◽  
pp. 71-87 ◽  
Author(s):  
ALMILA GÜVENÇ YAZICIOGLU ◽  
CONSTANTINE M. MEGARIDIS ◽  
ANGELA CAMPBELL ◽  
KYEONG-OOK LEE ◽  
MUN YOUNG CHOI
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Diffusion Flames ◽  
Transmission Electron ◽  
Fractal Properties ◽  
Thermophoretic Sampling

scholarly journals Quantitative Crystallographic and Statistical Image Processing for Materials Science in Scanning Transmission Electron Microscopy

2013 ◽  
Vol 19 (S2) ◽  
pp. 772-773
Author(s):  
Q.M. Ramasse ◽  
M.C. Sarahan ◽  
D.G. Morgan ◽  
N.D. Browning
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Scanning Transmission Electron Microscopy ◽  
Materials Science ◽  
Scanning Transmission Electron ◽  
Transmission Electron ◽  
Scanning Transmission

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

Morphological Analysis of Particles in Transmission Electron Microscopy Image Using Image Processing

2013 ◽  
Vol 774-776 ◽  
pp. 1262-1266
Author(s):  
Manop Phankokkruad ◽  
Wacharawichanant Sirirat
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Morphological Analysis ◽  
Transmission Electron Microscopy Image ◽  
Processing Method ◽  
New Materials ◽  
Manual Method ◽  
Transmission Electron ◽  
Microscopy Image

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.

scholarly journals Image Processing and Cryo-Transmission Electron Microscopy; Example of Human Proteasome

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

scholarly journals Development of an Algorithm for Automatic Image Detection of Biological Particles in Transmission Electron Microscopy Images

2012 ◽  
Vol 18 (S5) ◽  
pp. 3-4 ◽  
Author(s):  
M. C. Proença ◽  
J. F. Moura Nunes ◽  
A. P. Alves de Matos
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
High Resolution ◽  
3D Reconstruction ◽  
Image Detection ◽  
Virus Particles ◽  
Transmission Electron ◽  
Automatic Image Processing ◽  
Microscopy Images

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.

Structural analysis of carbon nanofiber by transmission electron microscopy and image processing

2002 ◽  
Vol 387 (1) ◽  
pp. 145-150 ◽  
Author(s):  
Kyoichi Oshida ◽  
Kozo Osawa ◽  
Tatsuo Nakazawa ◽  
Yasuo Fukai ◽  
Takuya Hayashi ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Structural Analysis ◽  
Carbon Nanofiber ◽  
Transmission Electron
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