Fig. 1
From: A large multi-focus dataset for white blood cell classification
The process of multi-focus image data acquisition. A stack of 10 images is captured, and a U-net-based segmentation model is used on the best-focus image determined by the Laplacian filter. Then, the bounding box is extracted to find the location of the WBC. Experts examine all z-stacks to confirm the subtype.
