Abstract
In fluorescence microscopy images, low spatial frequency background, e.g., from out-of-focus fluorescence and scattered light, and high frequency noise from the detection system can deteriorate and even entirely obfuscate their information content. As a consequence, considerable efforts have gone into background and noise suppression, either by introducing special hardware into the imaging system or by developing software for image post-processing. We have developed a powerful, easy-to-use software termed wavelet-based background and noise subtraction (WBNS), which effectively removes these components from images.
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