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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.

Published: 8/12/2024 | Inventor(s): Hari Shroff, Yue Li, Yicong Wu, Patrick La Riviere, Min Guo, Huafeng Liu

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Category(s): Application > Research Materials, Application > Software / Apps, ResearchProducts > Research Equipment