3DGAT uses 3D Gaussian kernels plus the FLFM optical model to self-supervisedly reconstruct volumetric fluorescence, beating Richardson-Lucy deconvolution in resolution on simulated and real data.
Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
3D Gaussian Adaptive Reconstruction for Fourier Light-Field Microscopy
3DGAT uses 3D Gaussian kernels plus the FLFM optical model to self-supervisedly reconstruct volumetric fluorescence, beating Richardson-Lucy deconvolution in resolution on simulated and real data.