During the process of whole slide imaging, it is necessary to focus thousands of fields of
view to obtain a high-quality image. To make the focusing procedure efficient and effective,
we propose a novel autofocus algorithm for whole slide imaging. It is based on convolution
and recurrent neural networks to predict the out-of-focus distance and subsequently update
the focus location of the camera lens in an iterative manner. More specifically, we train a
convolution neural network to extract focus information in the form of a focus feature vector …