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Shin et al., 2022 - Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network

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Fig. 1

Fig. 1. Illustration of 3-D volume reconstruction through recursive light propagation. Due to the spatial invariance of light propagation function with respect to the axial location of the image, an input image $I_{0}$ $I_{0}$ can be recursively fed to the light propagation function for a unit distance (i.e., $f_{Δ} (\cdot)$ $f_{Δ} (\cdot)$ ) to obtain the image at other axial locations. Similarly, the recursive light propagation network for unit distance propagation can be applied recursively to input images to infer 3-D volumes.

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Reprinted from Medical image analysis, 82, Shin, C., Ryu, H., Cho, E.S., Han, S., Lee, K.H., Kim, C.H., Yoon, Y.G., Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network, 102600, Copyright (2022) with permission from Elsevier. Full text @ Med. Image Anal.