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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images

Fig. 1

Comparison between conventional wide-field fluorescence microscopy image (left) and STORM super-resolution fluorescence microscopy image (right). Note the differences in nuclei structure between the STORM and wide-field images, with nuclei appearing as collections of discrete packages rather than as contiguous gradients. These textural differences result in incompatibilities when attempting to train a neural network for nuclei segmentation using one data set, then applying the trained network onto the other set

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BMC Bioinformatics

ISSN: 1471-2105

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