{"title":"Objective Morphological Quantification of Microscopic Images Using a Fast Fourier Transform (FFT) Analysis","authors":"Samuel E. Taylor, Tuoxin Cao, Pooja M. Talauliker, Jonathan Lifshitz","doi":"10.1002/9780470089941.et0905s07","DOIUrl":null,"url":null,"abstract":"<p>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. <i>Curr. Protoc. Essential Lab. Tech</i>. 7:9.5.1-9.5.12. © 2013 by John Wiley & Sons, Inc.</p>","PeriodicalId":500994,"journal":{"name":"Current Protocols Essential Laboratory Techniques","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/9780470089941.et0905s07","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols Essential Laboratory Techniques","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/9780470089941.et0905s07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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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