Accelerating Multiview Registration and Iterative Deconvolution to Improve Spatial Resolution and Contrast in Fluorescence Microscopy
This technology includes algorithms and software that improve the speed of iterative deconvolution, a common method for improving spatial resolution and contrast in fluorescence microscopy images. These algorithms also improve the registration of multiview datasets, and apply deep learning to accelerate spatially varying deconvolution.