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- ZDB-FIG-221120-16
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- Cho et al., 2021 - 3DM: deep decomposition and deconvolution microscopy for rapid neural activity imaging
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Fig. 1
Fig. 1. Deep decomposition deconvolution microscopy (3DM). (a) Schematic of 3DM hardware. An electrically tunable lens (ETL) is conjugated to the back pupil plane of the objective lens. (b) Schematic of the 3DM algorithm. A raw video consists of a time series of 3-D volumes. Using a bilinear neural network for efficient approximation of RPCA (BEAR), the raw video is decomposed into a low rank component and a sparse component that correspond to the background and the neural activity, respectively. The decomposed sparse component is deconvolved using our 3-D deconvolution network. |
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