most citedAn encryption-decryption framework for validating single-particle imaging

1 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV20211 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.optics20201 cited

Ptychographic wavefront characterisation for single-particle imaging at X-ray lasers

Benedikt J. Daurer, Simone Sala, Max F. Hantke +13

A well-characterised wavefront is important for many X-ray free-electron laser (XFEL) experiments, especially for single-particle imaging (SPI), where individual bio-molecules rand…

cond-mat.mtrl-sci2020

High-throughput ensemble characterization of individual core-shell nanoparticles with quantitative 3D density from XFEL single-particle imaging

Do Hyung Cho, Zhou Shen, Yungok Ihm +16

The structures, as building-blocks for designing functional nanomaterials, have fueled the development of versatile nanoprobes to understand local structures of noncrystalline spec…

physics.data-an20201 cited

An encryption-decryption framework for validating single-particle imaging

Zhou Shen, Colin Zhi Wei Teo, Kartik Ayyer +1

We propose an encryption-decryption framework for validating diffraction intensity volumes reconstructed using single-particle imaging (SPI) with x-ray free-electron lasers (XFELs)…

physics.app-ph2020

3D diffractive imaging of nanoparticle ensembles using an X-ray laser

Kartik Ayyer, P. Lourdu Xavier, Johan Bielecki +34

We report the 3D structure determination of gold nanoparticles (AuNPs) by X-ray single particle imaging (SPI). Around 10 million diffraction patterns from gold nanoparticles were m…