Toward a Thinking Microscope: Deep Learning in Optical Microscopy and Image Reconstruction
This addresses the problem of enhancing optical microscopy capabilities for researchers and practitioners in fields like biology and medicine, but it is incremental as it reviews existing methods.
The paper tackles the application of deep learning to optical microscopy and image reconstruction, enabling new transformations among imaging modes and modalities, and predicts it will fundamentally change hardware and reconstruction methods.
We discuss recently emerging applications of the state-of-art deep learning methods on optical microscopy and microscopic image reconstruction, which enable new transformations among different modes and modalities of microscopic imaging, driven entirely by image data. We believe that deep learning will fundamentally change both the hardware and image reconstruction methods used in optical microscopy in a holistic manner.