Calibration methods for quantitative image processing in electron microscopy.

M K Lamvik, S Davilla
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引用次数: 4

Abstract

An image can be represented digitally as a matrix of numbers. When those numbers are linearly related to a property of the object, such as mass per unit area, a simple integration of an image area leads to a total of that property, such as the mass of a particle that is represented in a selected area. Following techniques pioneered by Bahr and Zeitler, we illustrate the use of photographic densitometry of films exposed in an electron microscope to measure electron scattering. The transmission of an electron micrograph will be linear with respect to mass thickness for a particular value of background brightfield density, hence allowing determination of the mass of microscopic particles. We show here a digital computer method for conveniently establishing the linear condition by quantitative image processing using micrographs of polystyrene spheres. The method also serves to produce calibration curves for cases where the transfer from transmission to mass thickness is not linear. We also illustrate how an inexpensive computer is used to display and integrate regions of micrographs to determine particle mass.

电子显微镜中定量图像处理的校准方法。
图像可以用数字表示为数字矩阵。当这些数字与物体的属性(如单位面积的质量)线性相关时,对图像区域进行简单的积分就会得到该属性的总和,如在选定区域中表示的粒子的质量。继Bahr和Zeitler开创的技术之后,我们说明了在电子显微镜下使用胶片的照相密度测定法来测量电子散射。对于特定的背景亮场密度值,电子显微照片的透射率将与质量厚度成线性关系,因此可以测定微观粒子的质量。本文介绍了一种利用聚苯乙烯球显微照片进行定量图像处理,方便地建立线性条件的数字计算机方法。该方法还适用于从传输到质量厚度的传递不是线性的情况下产生校准曲线。我们还说明了如何使用廉价的计算机来显示和整合显微照片的区域以确定粒子质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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