scholarly journals LEAF SURFACE FEATURES AS TAXONOMIC EVIDENCES TO IDENTIFY SOME SPECIES OF GENUS EUCALYPTUS IN EGYPT BY USING SCANNING ELECTRON MICROSCOPE

2012 ◽  
Vol 17 (2) ◽  
pp. 239-255
2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Ki Woo Kim

AbstractPuccinia miscanthi teliospores were observed on the leaf surface of Miscanthus sinensis using a field emission scanning electron microscope. Details of teliospore mucilage could be visualized through the axial imaging of secondary electrons for a better understanding of pathogen behavior in rust diseases.


1974 ◽  
Vol 57 (6) ◽  
pp. 1235-1247
Author(s):  
Paris M Brickey ◽  
John S Gecan

Abstract Eleven stored product beetles were examined for surface features of the beetle elytron, using a scanning electron microscope. The 3 characteristics, sculpturing pattern, setae, and setal pits, were well defined and could be used to distinguish the species examined. The scanning electron microscope can give 3-dimensional images at magnifications up to 20,000 ×, in contrast with the light microscope which has a maximum magnification of 1000 ×.


Author(s):  
James L. Hubbard

For many years now, metallurgists have been using replica techniques for electron micrographic studies of the fracture surfaces of metals. The general features which are indicative of a certain mode of fracture, such as fatigue, overstress, or stress corrosion, have become quite familar in a wide variety of alloys. Although replicas are subject to many artifacts these features are usually recognized as such and disregarded in the analysis of the surface. Also since negative replicas are generally used one must reverse his perspective in order to obtain a true mental picture of the fracture surface.With the scanning electron microscope, micrographs of such samples can now be taken directly with no surface replication or preparation involved. The scanning micrographs, while limited in resolution, present a picture not only true to the surface but with a stereo perspective with which one can relate the surface features to reality.


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