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  2. Scanning electron microscope - Wikipedia

    en.wikipedia.org/wiki/Scanning_electron_microscope

    An account of the early history of scanning electron microscopy has been presented by McMullan. [2] [3] Although Max Knoll produced a photo with a 50 mm object-field-width showing channeling contrast by the use of an electron beam scanner, [4] it was Manfred von Ardenne who in 1937 invented [5] a microscope with high resolution by scanning a very small raster with a demagnified and finely ...

  3. Electron beam-induced current - Wikipedia

    en.wikipedia.org/wiki/Electron_beam-induced_current

    Electron-beam-induced current (EBIC) is a semiconductor analysis technique performed in a scanning electron microscope (SEM) or scanning transmission electron microscope (STEM). It is most commonly used to identify buried junctions or defects in semiconductors, or to examine minority carrier properties.

  4. High-resolution transmission electron microscopy - Wikipedia

    en.wikipedia.org/wiki/High-resolution...

    [1] [2] It is a powerful tool to study properties of materials on the atomic scale, such as semiconductors, metals, nanoparticles and sp 2-bonded carbon (e.g., graphene, C nanotubes). While this term is often also used to refer to high resolution scanning transmission electron microscopy, mostly in high angle annular dark field mode, this ...

  5. Multi-scale approaches - Wikipedia

    en.wikipedia.org/wiki/Multi-scale_approaches

    From this classification, it is apparent that we require a continuous semi-group structure, there are only three classes of scale-space kernels with a continuous scale parameter; the Gaussian kernel which forms the scale-space of continuous signals, the discrete Gaussian kernel which forms the scale-space of discrete signals and the time-causal ...

  6. Scale-space segmentation - Wikipedia

    en.wikipedia.org/wiki/Scale-space_segmentation

    These ideas for multi-scale image segmentation by linking image structures over scales have also been picked up by Florack and Kuijper. [13] Bijaoui and Rué [14] associate structures detected in scale-space above a minimum noise threshold into an object tree which spans multiple scales and corresponds to a kind of feature in the original ...

  7. Scale space - Wikipedia

    en.wikipedia.org/wiki/Scale_space

    It can be theoretically shown that a scale selection module working according to this principle will satisfy the following scale covariance property: if for a certain type of image feature a local maximum is assumed in a certain image at a certain scale , then under a rescaling of the image by a scale factor the local maximum over scales in the ...

  8. Amazon is reviving an obscure entry-level interview ... - AOL

    www.aol.com/finance/amazon-reviving-obscure...

    Bar raisers typically ask questions to assess a candidate’s long-term cultural fit and alignment with the company’s leadership principles, Bourgeois said, which can include detailing a time ...

  9. Tree (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Tree_(abstract_data_type)

    In computer science, a tree is a widely used abstract data type that represents a hierarchical tree structure with a set of connected nodes. Each node in the tree can be connected to many children (depending on the type of tree), but must be connected to exactly one parent, [ 1 ] [ 2 ] except for the root node, which has no parent (i.e., the ...