Microscopic Defects
Microscopic Defects - Related Videos
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.
03:07
Scanning Electron Microscopic Evaluation of Surface Defects of Remover Retreatment File After Single and Multiple Uses
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Cited by 1 •
2024
Here, we present a protocol for evaluating the surface characteristics of endodontic retreatment files after repeated use in retreatment procedures, utilizing scanning electron microscopy to identify and analyze potential surface defects.
01:23
Lumber Defects
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2024
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability. Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
02:40
Second Harmonic Generation Imaging in a Rat Model to Study Tubulin Defects
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2025
Source: Piazza, V., et al., Label-Free Non-Linear Optics for the Study of Tubulin-Dependent Defects in Central Myelin. J. Vis. Exp. (2023)This video demonstrates the procedure for imaging microtubule abnormalities in a rat brain tissue slice using a two-photon excitation microscope. It employs second harmonic generation (SHG) signals to detect tubulin defects and reduced myelin production.
07:56
A Full Skin Defect Model to Evaluate Vascularization of Biomaterials In Vivo
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Cited by 13 •
2014
Vascularization is key to approaches in successful tissue engineering. Therefore, reliable technologies are required to evaluate the development of vascular networks in tissue-constructs. Here we present a simple and cost-effective method to visualize and quantify vascularization in vivo.
FAQs
Their consequences depend on defect type and its interaction with the surrounding material. Vacancies and other forms of crystallographic disorder can enable diffusion, while dislocations can enable deformation. Pores and inclusions disturb local stress distribution, and microcracks can create conditions for crack initiation. These distinctions help engineers relate observed features to likely performance changes.
These three descriptors connect microscopy observations with engineering behavior. A feature’s size indicates its scale, its location identifies where the irregularity occurs within the material, and its density indicates how frequently such features are present. Comparing these measurements with mechanical, thermal, or electrical behavior helps determine whether a defect population is acceptable for intended service.
Microscopic defects can locally alter stress distribution, making particular regions more susceptible to crack initiation even before a larger failure is apparent. This creates a link between small-scale observations and component reliability or service life. Examining defect type, location, and density therefore helps failure analysis distinguish a potentially important structural feature from a less consequential observation.
An assessment reveals relevant features through microscopy or related characterization methods. The resulting observations are interpreted by considering defect size, location, and density, rather than by recording presence alone. Engineers then compare those characteristics with the material’s mechanical, thermal, and electrical behavior. This workflow turns small-scale structural evidence into information for engineering decisions.
It is useful when engineers must connect material structure with performance or reliability. In particular, defect characterization supports material selection, manufacturing control, and failure analysis. It can also guide development of stronger, more durable components by showing which small-scale features accompany undesirable behavior or reduced service life. The same approach applies when thermal or electrical performance matters.
Because these features can influence more than mechanical response, engineers also consider thermal and electrical behavior when interpreting observations. The relevant question is not simply whether defects exist, but how their characteristics relate to the property being controlled. This broader view supports informed material choices and manufacturing decisions when reliability depends on several performance dimensions at once.