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  • Monte Carlo simulations  (1)
  • secondary ion mass spectrometry (SIMS)  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Chemical imaging in biology and medicine using ion microscopy (1991)
    Springer
    Microchimica acta 104 (1991), S. 515-522 
    Details
    ISSN: 1436-5073
    Keywords: ion microscopy ; secondary ion mass spectrometry (SIMS) ; imaging ; digital image processing ; quantitation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract The ability to quantitatively map the distribution of elements on the micrometer scale and smaller with high sensitivity and isotopic discrimination is unique to ion microscopy. The information contained in ion images can be crucial to the study of the solid state, where chemical heterogeneity is often directly related to observed behavior. The tools of digital image processing allow the extraction of quantitative information from the image data. These techniques coupled with improved instrumentation for the detection of ion images drastically increase the problem solving capabilities of the ion microscope. The use of such methods and instrumentation in the ion microscopic analyses of cell cultures and tissues of biological and biomedical relevance will be discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01245536
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  • 2
    Electronic Resource
    Electronic Resource
    Evaluation of computing capabilities of a hierarchy of mini-to-supercomputers: Applications to ion microscopic analysis (1988)
    New York, NY : Wiley-Blackwell
    Journal of Chemometrics 2 (1988), S. 189-202 
    Details
    ISSN: 0886-9383
    Keywords: Computing system performance evaluation ; Ion microscopic analysis ; Digital image processing ; Monte Carlo simulations ; Supercomputer ; Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: There has been a steadily increasing demand for more computational power in surface and interface analysis. This paper reports attempts to meet these demands through the use of different computing systems, ranging from minicomputer to supercomputer. Representative laboratory data processing programs for ion microscopic analysis are used to evaluate the performance of each system. The bottlenecks and other problems involved in running analytical programs on faster machines are identified and discussed. Results indicate that in order to attain the optimal cost-performance ratio, programs must be tailored to specific forms required by the computing system. Algorithms must be formulated to exploit available vector and parallel processing capabilities.
    Additional Material: 4 Ill.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/cem.1180020304
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