基于深度学习的数字病理扫描系统单次曝光自动对焦方法

Whole slide imaging (WSI) is the core technology of pathology digitization, and the performance of WSI is determined by the speed and accuracy of autofocusing. However, the conventional autofocusing methods need to shoot multiple defocus tiles to create an image stack, or require a complex hardware modulation optical system, thereby restricting the applications in the real scenario of WSI. In this paper, we develop a deep one-shot autofocusing network of WSI for tile-wise virtual autofocusing to generate the in-focus image directly from one possible defocus image. Our method works with one image taken at any defocus distance, avoiding repeated focusing movements and camera shooting processes in principle. Experimental results demonstrate that our scheme enjoys the merits of high throughput, high speed, low cost, compatibility and offline processing.