title: An improved scanning method based on characteristics of the human visual system for scanning electron microscopy.
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.
authors.affiliation: Department of Electrical Engineering, Kogakuin University, Tokyo, Japan. oho@cc.kogakuin.ac.jp
authors.forename: Eisaku
authors.initials: E
authors.lastname: Oho
authors.forename: Takayoshi
authors.initials: T
authors.lastname: Sugawara
authors.forename: Kazuhiko
authors.initials: K
authors.lastname: Suzuki
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008855:Microscopy, Electron, Scanning / Q000379:methods*; D008954:Models, Biological; D012815:Signal Processing, Computer-Assisted; D014795:Visual Pathways