Objective Morphological Quantification of Microscopic Images Using a Fast Fourier Transform (FFT) Analysis

Samuel E. Taylor, Tuoxin Cao, Pooja M. Talauliker, Jonathan Lifshitz
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引用次数: 26

Abstract

Quantification of immunohistochemistry (IHC) and immunofluorescence (IF) using image intensity depends on a number of variables. These variables add a subjective complexity in keeping a standard within and between laboratories. Fast Fourier Transformation (FFT) algorithms, however, allow for a rapid and objective quantification (via statistical analysis) using cell morphologies when the microscopic structures are oriented or aligned. Quantification of alignment is given in terms of a ratio of FFT intensity to the intensity of an orthogonal angle, giving a numerical value of the alignment of the microscopic structures. This allows for a more objective analysis than alternative approaches, which rely upon relative intensities. Curr. Protoc. Essential Lab. Tech. 7:9.5.1-9.5.12. © 2013 by John Wiley & Sons, Inc.

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目的利用快速傅里叶变换(FFT)分析对显微图像进行形态学定量
定量免疫组织化学(IHC)和免疫荧光(IF)使用图像强度取决于许多变量。这些变量增加了在实验室内部和实验室之间保持标准的主观复杂性。然而,当微观结构定向或排列时,快速傅里叶变换(FFT)算法允许使用细胞形态学进行快速和客观的定量(通过统计分析)。对准的量化是根据FFT强度与正交角强度的比值给出的,给出了微观结构对准的数值。与依赖于相对强度的替代方法相比,这允许进行更客观的分析。咕咕叫。Protoc。基本的实验室。科技,7:9.5.1-9.5.12。©2013 by John Wiley &儿子,Inc。
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