First molecular identification of Entamoeba moshkovskii from diarrhoeic stools in Kaduna State, Nigeria: a short report.

2017 ◽  
Vol 4 (1) ◽  
pp. 39-42
Author(s):  
IS Dawah ◽  
H.I Inabo ◽  
I.O Abdullahi ◽  
D.A Machido
2008 ◽  
Vol 79 (5) ◽  
pp. 706-707 ◽  
Author(s):  
Soumaya Ben Ayed ◽  
Rym Ben Abdallah ◽  
Nadia Maamouri ◽  
Karim Aoun ◽  
Aïda Bouratbine

Parasitology ◽  
2012 ◽  
Vol 139 (12) ◽  
pp. 1521-1525 ◽  
Author(s):  
TENGKU SHAHRUL ANUAR ◽  
HESHAM M. AL-MEKHLAFI ◽  
MOHAMED KAMEL ABDUL GHANI ◽  
SITI NOR AZREEN ◽  
FATMAH MD SALLEH ◽  
...  

Author(s):  
S. E. Miller

The techniques for detecting viruses are many and varied including FAT, ELISA, SPIRA, RPHA, SRH, TIA, ID, IEOP, GC (1); CF, CIE (2); Tzanck (3); EM, IEM (4); and molecular identification (5). This paper will deal with viral diagnosis by electron microscopy and will be organized from the point of view of the electron microscopist who is asked to look for an unknown agent--a consideration of the specimen and possible agents rather than from a virologist's view of comparing all the different viruses. The first step is to ascertain the specimen source and select the method of preparation, e. g. negative stain or embedment, and whether the sample should be precleared by centrifugation, concentrated, or inoculated into tissue culture. Also, knowing the type of specimen and patient symptoms will lend suggestions of possible agents and eliminate some viruses, e. g. Rotavirus will not be seen in brain, nor Rabies in stool, but preconceived notions should not prejudice the observer into missing an unlikely pathogen.


Author(s):  
Maoxu Qian ◽  
Mehmet Sarikaya ◽  
Edward A. Stern

It is difficult, in general, to perform quantitative EELS to determine, for example, relative or absolute compositions of elements with relatively high atomic numbers (using, e.g., K edge energies from 500 eV to 2000 eV), to study ELNES (energy loss near edge structure) signal using the white lines to determine oxidation states, and to analyze EXELFS (extended energy loss fine structure) to study short range ordering. In all these cases, it is essential to have high signal-to-noise (S/N) ratio (low systematical error) with high overall counts, and sufficient energy resolution (∽ 1 eV), requirements which are, in general, difficult to attain. The reason is mainly due to three important inherent limitations in spectrum acquisition with EELS in the TEM. These are (i) large intrinsic background in EELS spectra, (ii) channel-to-channel gain variation (CCGV) in the parallel detection system, and (iii) difficulties in obtaining statistically high total counts (∽106) per channel (CH). Except the high background in the EELS spectrum, the last two limitations may be circumvented, and the S/N ratio may be attained by the improvement in the on-line acquisition procedures. This short report addresses such procedures.


2019 ◽  
Vol 45 (5) ◽  
pp. 525-532
Author(s):  
Ting Li ◽  
Hao Wu ◽  
Caiwen Wu ◽  
Guang Yang ◽  
Bingyao Chen

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