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Topaz-Denoise: general deep denoising models for cryoEM and cryoET

Biology

Topaz-Denoise: general deep denoising models for cryoEM and cryoET

T. Bepler, K. Kelley, et al.

Discover Topaz-Denoise, a revolutionary deep learning method designed by Tristan Bepler, Kotaro Kelley, Alex J. Noble, and Bonnie Berger, that enhances the signal-to-noise ratio of cryoEM images, allowing for clearer micrograph interpretation and accelerated data collection. This innovative approach makes it possible to solve complex 3D structures with ease!... show more
Citation Metrics
Citations
600
Influential Citations
37
Reference Count
70
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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