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. 2017 Jan 15;28(2):333–345. doi: 10.1091/mbc.E16-06-0421

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© 2017 Zhang, Nishimura, and Kanchanawong. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

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FIGURE 4: — Sensitivity analysis. (A–D) Flow chart illustrating the calculation of extraction error. (A) Synthetic cobweb image with PSNR = 20 dB. (B) Detected skeleton of the network in A convoluted with a 50-nm-width Gaussian function. (C) Ground-truth image. (D) Residual computed by subtracting C from B. The extraction error (image difference) is calculated as the mean pixel value of D. (E, F) Cobweb: extraction error calculated as a function of image noise (PSNR) vs. (E) OFT r parameter and (F) binarization threshold, defined relative to the Otsu’s formula. (G) Parallel lines: extraction error (image difference) calculated as a function of image noise (PSNR) vs. line density. (H–M) Maps of false positives (H, I) and false negatives (K–M) for the accuracy of individual filament detection (defined in the text) as a function of image noise (PSNR) vs. (H, K) OFT r parameter, (I, L) search-fan radius, and (J, M) search-fan angle.