Literature DB >> 16089300

An improved scanning method based on characteristics of the human visual system for scanning electron microscopy.

Eisaku Oho1, Takayoshi Sugawara, Kazuhiko Suzuki.   

Abstract

An improved scanning method for the scanning electron microscope (SEM) is proposed. Here, quincuncial scanning (sampling) instead of a conventional (raster) scanning is used. This scanning method is very effective for quality improvement of an SEM image obtained under undersampling conditions (rough sampling). The present study focuses on characteristics of the human visual system, specifically the low response of eyes in diagonal directions. When using this method coupled with a high-precision interpolation, the number of pixels necessarily doubles. It is not surprising that it is advantageous for printing. A more important advantage is the fact that SEM images can be acquired with a shorter recording time. Hence, this type of scanning will be helpful for quick and frequent recordings in a "snapshot" mode, which up to now has not been achieved successfully by SEM.

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Year:  2005        PMID: 16089300     DOI: 10.1002/sca.4950270403

Source DB:  PubMed          Journal:  Scanning        ISSN: 0161-0457            Impact factor:   1.932


  1 in total

1.  Feature Adaptive Sampling for Scanning Electron Microscopy.

Authors:  Tim Dahmen; Michael Engstler; Christoph Pauly; Patrick Trampert; Niels de Jonge; Frank Mücklich; Philipp Slusallek
Journal:  Sci Rep       Date:  2016-05-06       Impact factor: 4.379

  1 in total

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