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Fig. 1. | BMC Bioinformatics

Fig. 1.

From: Colocalization by cross-correlation, a new method of colocalization suited for super-resolution microscopy

Fig. 1.

2D example data of CCC plugin results. a Color composite of the two input images, with most of the magenta points being paired to a corresponding cyan point. Scale bar indicates 2.32 µm for all images, the returned value of µ after analysis. b Image generated from the cross-correlation of the input images. In this cross-correlated image, the center pixel value represents the correlation between the two colors with no translation, and all other pixels represent the correlation when one image has been translated by a vector from the center to that pixel. The ring near the center of the image matches the paired points, with gaps indicating a lack of pairs in that orientation. c The blue line is the radial profile of b, the green line is the radial profile after the pixel randomization procedure (see Implementation for details), and the red dashed line is the fit Gaussian curve. d Composite image of the data that contributed to the Gaussian result. Arrows indicate location of signal from the original images that did not contribute

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