Detection and Identification of an Elm Yellows Group Phytoplasma Associated with Camellia in China

2014 ◽  
Vol 163 (7-8) ◽  
pp. 560-566 ◽  
Author(s):  
Ying Gao ◽  
Yu-Zhu Dong ◽  
Wei-Ping Tan ◽  
Guo-Zhen Sun ◽  
You-Rong Zhu ◽  
...  
Keyword(s):  
Detection And Identification ◽  
Elm Yellows

Detection and identification of the elm yellows group phytoplasma associated with Puna chicory flat stem in China

2012 ◽  
Vol 34 (1) ◽  
pp. 34-41 ◽  
Author(s):  
Zheng-Nan Li ◽  
Lei Zhang ◽  
Yao-Bo Bai ◽  
Ping Liu ◽  
Yun-Feng Wu
Keyword(s):  
Detection And Identification ◽  
Elm Yellows

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.

115: Detection and Identification of Bacterial DNA and HIV Gag in the Semen of HIV Infected Men

2004 ◽  
Vol 171 (4S) ◽  
pp. 30-30
Author(s):  
Robert C. Eyre ◽  
Ann A. Kiessling ◽  
Thomas E. Mullen ◽  
Rachel L. Kiessling
Keyword(s):  
Bacterial Dna ◽  
Detection And Identification

Modern methods of bacteria detection and identification

2013 ◽  
Vol 4 (1) ◽  
pp. 65-72
Author(s):  
Dorota Żabicka ◽  
Elżbieta Literacka
Keyword(s):  
Bacteria Detection ◽  
Detection And Identification ◽  
Modern Methods
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