Backscattered Electron Analysis
Backscattered Electron Analysis - Related Videos
07:47
Analysis of Brain Mitochondria Using Serial Block-Face Scanning Electron Microscopy
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Cited by 32 •
2016
Mitochondrial visualization and analysis from mammalian brain tissue is a challenging task. Here, we describe how three dimensional (3D) reconstruction analysis from the serial block-face scanning electron microscopy (SBFSEM) can be used to gain insights on the morphological and volumetric analysis of this critical energy generating organelle.
01:25
Electron Microscopic Analysis of Myelin Damage in a Rat Model of Optic Nerve Injury
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2025
The control section exhibits axons with tightly packed myelin sheaths containing concentric plasma membrane layers. The injured section exhibits decompacted myelin with large gaps.
11:02
Fruit Volatile Analysis Using an Electronic Nose
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Cited by 10 •
2012
A rapid method for volatile compound analysis in fruit is described. The volatile compounds present in the headspace of a homogenate of the sample are rapidly separated and detected with ultra-fast gas chromatography (GC) coupled with a surface acoustic wave (SAW) sensor. A procedure for data handling and analysis is also discussed.
11:41
Scanning Electron Microscopy (SEM)
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2023
Source: Laboratory of Dr. Andrew J. Steckl — University of Cincinnati A scanning electron microscope, or SEM, is a powerful microscope that uses electrons to form an image. It allows for imaging of conductive samples at magnifications that cannot be achieved using traditional microscopes. Modern light microscopes can achieve a magnification of ~1,000X, while typical SEM can reach magnifications of more than 30,000X. Because the SEM doesn’t use light to create images, the resulting pictures it...
11:14
Comprehensive Characterization of Extended Defects in Semiconductor Materials by a Scanning Electron Microscope
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Cited by 4 •
2016
The optical, electrical, and structural properties of dislocations and of grain boundaries in semiconductor materials can be determined by experiments performed in a scanning electron microscope. Electron microscopy has been used to investigate cathodoluminescence, electron beam induced current, and diffraction of backscattered electrons.
FAQs
Atomic number strongly influences the brightness recorded in the image: regions containing elements with higher atomic numbers generally backscatter more electrons and appear brighter. This relationship allows compositional differences to become visible within a biological specimen. Brightness should still be interpreted alongside surface topography and detector geometry, because both can modify the observed contrast.
Image contrast does not reflect composition alone. Surface shape can change how electrons leave the specimen, and detector geometry affects which scattered electrons are collected. As a result, a bright or dark region may reflect both elemental composition and physical structure. Considering these influences helps prevent researchers from assigning every intensity difference to a change in material composition.
Compositional contrast can help separate mineralized tissue from nonmineralized tissue and reveal embedded particles or metals. These distinctions are valuable when biological structures contain inorganic components with different elemental compositions. The approach can therefore clarify where mineral or foreign material occurs relative to cells, tissues, or surrounding biomaterials.
Backscattered electron imaging provides spatially resolved contrast that highlights structural and compositional differences, while complementary microanalytical methods can extend the examination of inorganic components. Used together, these approaches support stronger interpretations than imaging alone. This combined strategy is particularly relevant when researchers need to relate visible regions to biomineralization, tissue structure, or material distribution.
Interpretation should account for at least three contributors to image appearance: atomic-number differences, surface topography, and detector geometry. Researchers can then relate bright and dark regions to likely compositional or structural variation rather than treating brightness as a standalone measurement. This consideration is important for distinguishing genuine inorganic distributions from contrast produced by specimen form or image collection conditions.
The technique is useful when a study must locate or compare inorganic components within biological specimens. Reported applications include investigations of biomineralization, bone structure, pathology, and interfaces between cells, tissues, and biomaterials. It also helps identify embedded particles or metals, making it relevant to both normal tissue organization and biologically important material-associated features.
These images can reveal the distribution of mineralized and nonmineralized regions, embedded inorganic particles, metals, and material interfaces. Such spatial information helps researchers examine how inorganic components relate to biological structures. In studies of bone, pathology, or biomineralization, the resulting observations can contribute to understanding tissue organization and changes in composition or structure.