Deep Learning-Based Segmentation for Bright Field Images
Image segmentation is a fundamental step of microscopy image analysis, and many segmentation methods specialize in segmenting fluorescence images, some of which are available via napari. However, fluorescence imaging for image segmentation adds little biological information and is toxic to live cells. In contrast, bright field imaging is less phototoxic and captures diverse biological information. Deep learning provides powerful solutions to the challenges of bright field image segmentation, yet the necessary coding abilities limit widespread use.
The aim of this plugin is to provide user-friendly access to deep learning-based bright field image segmentation in napari.