Mine field detection and identification using terahertz spectroscopic imaging

2003 ◽  
Author(s):  
Robert Osiander ◽  
Joseph A. Miragliotta ◽  
Zhiping Jiang ◽  
Jingzhou Xu ◽  
Xi-Cheng Zhang
Keyword(s):  
Spectroscopic Imaging ◽  
Mine Field ◽  
Field Detection ◽  
Detection And Identification

Mine field detection algorithm utilizing data from an ultrawideband wide-area surveillance radar

1998 ◽  
Author(s):  
Lam H. Nguyen ◽  
Karl A. Kappra ◽  
David C. Wong ◽  
Ravinder Kapoor ◽  
Jeffrey Sichina
Keyword(s):  
Detection Algorithm ◽  
Wide Area ◽  
Mine Field ◽  
Field Detection ◽  
Area Surveillance ◽  
Wide Area Surveillance

Detection and identification of explosives using terahertz pulsed spectroscopic imaging

2005 ◽  
Vol 86 (24) ◽  
pp. 241116 ◽  
Author(s):  
Y. C. Shen ◽  
T. Lo ◽  
P. F. Taday ◽  
B. E. Cole ◽  
W. R. Tribe ◽  
...  
Keyword(s):  
Spectroscopic Imaging ◽  
Detection And Identification

Ultra-wide-band synthetic-aperture radar for mine-field detection

1999 ◽  
Vol 41 (1) ◽  
pp. 18-33 ◽  
Author(s):  
L. Carin ◽  
N. Geng ◽  
M. McClure ◽  
J. Sichina ◽  
Lam Nguyen
Keyword(s):  
Synthetic Aperture Radar ◽  
Wide Band ◽  
Synthetic Aperture ◽  
Ultra Wide Band ◽  
Mine Field ◽  
Field Detection ◽  
Aperture Radar

Identification of hepatitis a virus in cell cultures by solid phase immune electron microscopy

1986 ◽  
Vol 44 ◽  
pp. 238-239
Author(s):  
C.D. Humphrey ◽  
T.L. Cromeans ◽  
E.H. Cook ◽  
D.W. Bradley
Keyword(s):  
Electron Microscopy ◽  
Liquid Phase ◽  
Cell Cultures ◽  
Rapid Detection ◽  
Hepatitis A ◽  
Hepatitis A Virus ◽  
Solid Phase ◽  
Immune Electron Microscopy ◽  
Detection And Identification

There is a variety of methods available for the rapid detection and identification of viruses by electron microscopy as described in several reviews. The predominant techniques are classified as direct electron microscopy (DEM), immune electron microscopy (IEM), liquid phase immune electron microscopy (LPIEM) and solid phase immune electron microscopy (SPIEM). Each technique has inherent strengths and weaknesses. However, in recent years, the most progress for identifying viruses has been realized by the utilization of SPIEM.

Visualisation of E. coli ribosomal RNA in situ by electron spectroscopic imaging and image averaging

1992 ◽  
Vol 50 (1) ◽  
pp. 466-467
Author(s):  
Daniel Beniac ◽  
George Harauz
Keyword(s):  
Ribosomal Rna ◽  
Three Dimensional ◽  
Spectroscopic Imaging ◽  
Electron Spectroscopic Imaging ◽  
E Coli ◽  
Microscopical Technique ◽  
Quantitative Image ◽  
Dimensional Reconstruction ◽  
Image Averaging ◽  
Protein Components

The structures of E. coli ribosomes have been extensively probed by electron microscopy of negatively stained and frozen hydrated preparations. Coupled with quantitative image analysis and three dimensional reconstruction, such approaches are worthwhile in defining size, shape, and quaternary organisation. The important question of how the nucleic acid and protein components are arranged with respect to each other remains difficult to answer, however. A microscopical technique that has been proposed to answer this query is electron spectroscopic imaging (ESI), in which scattered electrons with energy losses characteristic of inner shell ionisations are used to form specific elemental maps. Here, we report the use of image sorting and averaging techniques to determine the extent to which a phosphorus map of isolated ribosomal subunits can define the ribosomal RNA (rRNA) distribution within them.

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