Open AccessObjective Morphological Quantification of Microscopic Images Using a Fast Fourier Transform (FFT) Analysis
Author(s) -
Taylor Samuel E.,
Cao Tuoxin,
Talauliker Pooja M.,
Lifshitz Jonathan
Publication year - 2013
Publication title -
current protocols essential laboratory techniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.747
H-Index - 10
ISSN - 1948-3430
DOI - 10.1002/9780470089941.et0905s07
Subject(s) - fast fourier transform , fourier transform , intensity (physics) , transformation (genetics) , computer science , expression (computer science) , contrast (vision) , algorithm , optics , mathematics , artificial intelligence , physics , mathematical analysis , chemistry , biochemistry , gene , programming language
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.