Deep Convolutional Neural Network Based Image Denoising in STEM — ASN Events

Deep Convolutional Neural Network Based Image Denoising in STEM — ASN Events

Deep Convolutional Neural Network Based Image Denoising in STEM

Deep Convolutional Neural Network Based Image Denoising in STEM (114623)

Alex Williams ¹ , Alex Robinson ² , Jack Wells ¹ ³ , Konstantinos Tsakalidis ⁴ , Yao-chun Shen ⁵ , Nigel Browning ² ³

Distributed Algorithms Centre of Doctoral Training, University of Liverpool, Liverpool
SenseAI, Liverpool
Mechanical Materials and Aerospace Engineering, University of Liverpool, Liverpool
Department of Computer Science, University of Liverpool, Liverpool
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool

Authors contributing to this presentation.

Williams, A

Robinson, A

Dr Alex W. Robinson leads the applications group at SenseAI Innovations Ltd., developing state-of-the-art methods for low-dose and high-speed electron microscopy. Alex completed his PhD at the University of Liverpool in October 2023, and then co-founded SenseAI along with some of his colleagues and PhD supervisor, Prof. Nigel D. Browning. Alex's current research areas involve low-dose defocused probe 4-D STEM for cryo-EM applications, as well as real-time 4-D STEM for in-situ applications. Alex has extensive experience in 4-D STEM experimental acquisition, as well as the development of computational analysis tools for 4-D STEM. Alex has authored custom multislice algorithm implementations, as well as the development of new ptychographical engines.

Wells, J

Tsakalidis, K

Shen, Y

Browning, N