HPTLC detection and identification of heroin (diacetylmorphine) in forensic samples. Part III

2003 ◽  
Vol 16 (6) ◽  
pp. 458-460 ◽  
Author(s):  
Vaijanath Dongre ◽  
Vilas Kamble
Keyword(s):  
Detection And Identification ◽  
Forensic Samples

The detection and identification of saliva in forensic samples by RT-LAMP

2018 ◽  
Vol 14 (4) ◽  
pp. 469-477 ◽  
Author(s):  
Li-Chin Tsai ◽  
Chih-Wen Su ◽  
James Chun-I Lee ◽  
Yu-Sheng Lu ◽  
Hsuan-Chen Chen ◽  
...  
Keyword(s):  
Detection And Identification ◽  
Forensic Samples

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

Detection and Identification of Voltage Variation Events Based on Artificial Neural Network

2020 ◽  
Vol 13 (5) ◽  
pp. 224
Author(s):  
Dimas Okky Anggriawan ◽  
Rauf Hanrif Mubarok ◽  
Eka Prasetyono ◽  
Endro Wahjono ◽  
M. Iqbal Fitrianto ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Detection And Identification ◽  
Voltage Variation ◽  
Artificial Neural
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