BiRefNet for Microscope Auto Segmentation

ABOUT THE WORKFLOW Isolate and Clean Up a Sample Upload a microscope image and the workflow finds the main subject on its own, removes the background, and drops the subject onto a flat color of your choice. It then runs a 4x upscale and a strong sharpen pass, so you get one clean, high-resolution shot of the isolated specimen. No painting, no manual masking. Model BiRefNet by Zheng Peng and team. An open-source high-resolution segmentation model that separates a subject from its background with clean edges, even on fine or complex shapes. 4x-UltraSharp. An open-source upscale model that takes the isolated subject up to four times its size while holding detail.