Real-time sparse-sampled Ptychographic imaging through deep neural networks. - Mathew J. Cherukara; Tao Zhou; Youssef S. G. Nashed; Pablo Enfedaque; Alex Hexemer; Ross J. Harder; Martin V. Holt (CoRR, 2020)

sxdm - A python framework for analysis of Scanning X-Ray Diffraction Microscopy data. - William Judge; Michael Plews; Brian May; Martin V. Holt; Jordi Cabana (Softw. Impacts, 2021)

Deep learning at the edge enables real-time streaming ptychographic imaging. - Anakha V. Babu; Tao Zhou; Saugat Kandel; Tekin Bicer; Zhengchun Liu; William Judge; Daniel J. Ching; Yi Jiang; Sinisa Veseli; Steven Henke; Ryan Chard; Yudong Yao; et al. (CoRR, 2022)

Homomorphic data compression for real time photon correlation analysis. - Sebastian Strempfer; Zichao Wendy Di; Kazutomo Yoshii; Yue Cao; Qingteng Zhang; Eric M. Dufresne; Mathew J. Cherukara; Suresh Narayanan; Martin V. Holt; Antonino Miceli; Tao Zhou (CoRR, 2024)

DONUT: Physics-aware Machine Learning for Real-time X-ray Nanodiffraction Analysis. - Aileen Luo; Tao Zhou; Ming Du; Martin V. Holt; Andrej Singer; Mathew J. Cherukara (CoRR, 2025)