Explore variational methods for computational microscopy in this 40-minute lecture presented by Stanley Osher from the University of California, Los Angeles. Recorded on September 14, 2022, as part of IPAM's Computational Microscopy Tutorials at UCLA, delve into advanced techniques used in the field of computational imaging. Gain insights into how variational methods are applied to enhance microscopy data processing and analysis. Discover the latest developments in this cutting-edge area of research, combining mathematics, computer science, and microscopy. Suitable for researchers, students, and professionals interested in computational imaging and microscopy techniques.
Variational Methods for Computational Microscopy - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Stanley Osher - Variational Methods for Computational Microscopy - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)
Related Courses
-
Capturing the 3D Atomic Structure of Non-Crystalline Materials - IPAM at UCLA
-
Lindblad Equations: Variational Analysis and Numerical Methods - IPAM at UCLA
-
Computational Microscopy at IPAM in Fall 2022
-
Computational Microscopy: Coherent Diffractive Imaging to Electron Tomography
-
3D Phase Imaging with Scattering Samples - IPAM at UCLA
-
Machine Learning and Computational Imaging - IPAM at UCLA
