Fig. 1: Schematic drawing shows the layout of RTU-Net. | Light: Science & Applications

Fig. 1: Schematic drawing shows the layout of RTU-Net.

From: Real-time and universal network for volumetric imaging from microscale to macroscale at high resolution

Fig. 1

a Simplified schematic of RTU-Net training procedure. The high-resolution 3D stationary samples can be trained using synthetic or experimental methods. The network is optimized with three loss functions. b The schematic shows the prediction procedure of RTU-Net. c Examples highlights the working scale of RTU-Net, including structural imaging of mitochondria and microtubule proteins in microscale (left), neuroimaging of the rat brain in mesoscale (center), and PIV measurement for particle imaging in macroscale (right)

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