Chair: Lachlan Whitehead
Leveraging the Rich Spatiotemporal Features of Lattice Light-sheet Microscopy with Machine Learning and AI (116542)
11:15 AM
Integrating Chemistry and Experimental Knowledge into Deep Learning Models for Classification of Structural Defects (114705)
11:45 AM
Enhancing Automation and Accessibility in Electron Microscopy through Generative AI (114754)
12:00 PM
Quantitative Characterisation of Grain Morphology utilising Computer Vision and µXRF (116074)
12:15 PM
Revolutionizing High Content Analysis: Advancing Drug Discovery by combining complex in vitro models with AI-Powered 3D/4D image analysis (114373)
12:25 PM
Deep Convolutional Neural Network Based Image Denoising in STEM (114623)
12:35 PM
Learning Persistent Spatiotemporal Motifs Complex Molecular Interactions on Supported Lipid Bilayers (114744)
12:45 PM
Deep Learning-based Electron Ptychographic Imaging under Anomalous Electron-Sample Interactions (114312)
12:55 PM
Classifying Diverse Structural Motifs of Spontaneously Crystallized Ice in Supercooled Water from a Colossal Dataset Collected At EuXFEL (114735)
1:05 PM
Automating Quantitative Analysis of Goblet Cells and Mucus Components (114758)
1:10 PM
Quantitative Atomic Structure Analysis Using Saliency-Based Clustering in STEM (114659)
1:15 PM