Mary Scott - Supervised And Unsupervised Approaches For Electron Microscopy Data Analysis

Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis

Institute for Pure & Applied Mathematics (IPAM)

Mary Scott: Artificial Intelligence for Electron Microscopy Data Interpretation

Center for Integrated Quantum Materials

ML-4: Supervised and unsupervised learning in Scanning Probe Microscopy Imaging

Machine Learning in the Nanoworld

ML-5: Machine Learning in Scanning Transmission Electron Microscopy

Machine Learning in the Nanoworld

ML_EM_01_Microscopy of the Future

Machine Learning in the Nanoworld

MIA: Alyssa Wilson, Contrastive deep learning for electron microscopy connectomics data (2021)

Broad Institute

ML-1 Unsupervised learning in SPM: spectral data

Machine Learning in the Nanoworld

ML-2: Supervised learning in Scanning Probe Microscopy: Spectroscopies

Machine Learning in the Nanoworld

ML_EM_22_ReinforcementLearning

Machine Learning in the Nanoworld

Eric Stach - Exploiting automatic image processing and in-situ transmission electron microscopy

Institute for Pure & Applied Mathematics (IPAM)

Anna Kreshuk - Machine learning for microscopy with less training data - Imaging ONEWORLD

Royal Microscopical Society

Tristan Bepler - Detection of objects in cryo-electron micrographs using geometric deep learning

Institute for Pure & Applied Mathematics (IPAM)

Practical Guide To Segmentation Of Complex Electron Microscopy 3D-Data l Protocol Preview

JoVE (Journal of Visualized Experiments)

Student Presentation: Application of Machine Learning in Electron Microscopy (Jacob Minnette)

Microscopy Image and Video Analysis Using AI

Advanced Microscopy and Data Analysis in Electronic Ceramic Research and Development

The American Ceramic Society

Episode 2: Real time 3D imaging software for electron microscopy developed

Materials Research Society

Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy

Institute for Pure & Applied Mathematics (IPAM)

Volume Electron Microscopy: Concepts, Correlations and Computations

Euro-BioImaging Communication

Correlative microscopy: challenges and solutions for data acquisition and analysis

Oxford Instruments