most citedUnsupervised learning approaches to characterize heterogeneous samples using X-ray single particle imaging

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.IV2021★ 1 cited

Unsupervised learning approaches to characterize heterogeneous samples using X-ray single particle imaging

Yulong Zhuang, Salah Awel, Anton Barty +39

One of the outstanding analytical problems in X-ray single particle imaging (SPI) is the classification of structural heterogeneity, which is especially difficult given the low sig…

physics.ins-det2019

Megahertz X-ray microscopy at X-ray Free-Electron Laser and Synchrotron sources

Patrik Vagovič, Tokushi Sato, Ladislav Mikeš +17

We demonstrate X-ray phase contrast microscopy performed at the European X-ray Free-Electron Laser sampled at 1.128 MHz rate. We have applied this method to image stochastic proces…