Computational Microscopy: Utilizing Image Processing and Neural Networks
www.wolfram.com/wolfram-u/ This event features demos and tutorials using Wolfram technologies for 2D and 3D image analysis and computer vision. Wolfram's integrated workflow combines high level image processing and machine learning in one system, allowing to solve a variety of problems fr
From playlist Computational Microscopy
John Miao - Coherent Diffractive Imaging: A Unification of Microscopy, Diffraction and Computation
Recorded 13 September 2022. Jianwei Miao of the University of California, Los Angeles, presents "Coherent Diffractive Imaging: A Unification of Microscopy, Diffraction and Computation" at IPAM's Computational Microscopy Tutorials. Learn more online at: http://www.ipam.ucla.edu/programs/wor
From playlist Tutorials: Computational Microscopy 2022
Peng Wang - Electron Ptychography: Emerging Computational Microscopy for Physical/Biological Science
Recorded 28 October 2022. Peng Wang of the University of Warwick presents "Electron Ptychography: An Emerging Computational Microscopy for Physical and Biological Sciences" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Workshop. Abstract: Ptychography is an emerging comp
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
What is Quantum Machine Learning?
Generative machine learning is the field of ML that focuses on generating data. If you've seen any of the realistic-looking faces on pages such as www.thispersondoesnotexist.com or www.whichfaceisreal.com, you've seen generative machine learning in action. Quantum computing is a rapidly ad
From playlist Fundamentals of Machine Learning
What Is Quantum Computing | Quantum Computing Explained | Quantum Computer | #Shorts | Simplilearn
🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=QuantumComputingShorts&utm_medium=ShortsDescription&utm_source=youtube Quantum computing is a branch of computing that focuses on developing computer tech
From playlist #Shorts | #Simplilearn
DIY Scanning Electron Microscope - Overview
Today, I finally produced an image with my DIY scanning electron microscope. I've spent the last few months working on this project, and am encouraged by today's success. There is still a lot of work left to do in making the image higher resolution, and eliminating sources of noise, howe
From playlist Scanning Electron Microscope
Mahdi Soltanolkotabi - Machine Learning and Computational Imaging - IPAM at UCLA
Recorded 13 September 2022. Mahdi Soltanolkotabi of the University of Southern California (USC) ECE presents "Machine Learning and Computational Imaging" at IPAM's Computational Microscopy Tutorials. Abstract: In this tutorial I will discuss the challenges and opportunities of using AI for
From playlist Tutorials: Computational Microscopy 2022
Ivan Pedro Lobato Hoyos - Application of machine learning to electron microscopy data - IPAM at UCLA
Recorded 25 October 2022. Ivan Pedro Lobato Hoyos of the University of Antwerp presents "Application of machine learning to electron microscopy data" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Workshop. Abstract: Recent advances in the data acquisition process in the
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Machine Learning
Twitch Talks - Image Computation for Microscopy
Presenter: Markus van Almsick Wolfram Research developers demonstrate the new features of Version 12 of the Wolfram Language that they were responsible for creating. Previously broadcast live on September 3, 2019 at twitch.tv/wolfram. For more information, visit: https://www.wolfram.com/l
From playlist Twitch Talks
Electron Microscopy (TEM and SEM)
We've talked a lot about light microscopy, but this technique has inherent limitations in resolution and magnification. The next paradigm in microscopy that emerged in the middle of the 20th century was electron microscopy. Because electrons have much shorter wavelengths than photons, elec
From playlist Microbiology/Infectious Diseases
Widefield and Confocal Fluorescence Microscopy
We just learned about electron microscopy, so what was the next major innovation in microscopy in the 20th century? That would be fluorescence microscopy, of both the widefield and confocal varieties. How does this work? What is fluorescence in the first place? What are fluorophores? What
From playlist Microbiology/Infectious Diseases
Jianwei John Miao - Computational Microscopy: Coherent Diffractive Imaging to Electron Tomography
Recorded 10 October 2022. Jianwei (John) Miao of the University of California, Los Angeles, presents "Computational Microscopy: From Coherent Diffractive Imaging to Atomic Electron Tomography" at IPAM's Diffractive Imaging with Phase Retrieval Workshop. Learn more online at: http://www.ipa
From playlist 2022 Diffractive Imaging with Phase Retrieval - - Computational Microscopy
Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy
Recorded 29 November 2022. Rama Vasudevan of Oak Ridge National Laboratory presents "Advancing Microscopy with Machine Learning: Lessons and Insights from Scanning Probe Microscopy" at IPAM's Multi-Modal Imaging with Deep Learning and Modeling Workshop. Abstract: Scanning probe microscopy
From playlist 2022 Multi-Modal Imaging with Deep Learning and Modeling
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis
Recorded 01 December 2022. Mary Scott of the University of California, Berkeley, presents "Supervised and Unsupervised approaches for Electron Microscopy Data Analysis" at IPAM's Multi-Modal Imaging with Deep Learning and Modeling Workshop. Abstract: Recently, materials science has undergo
From playlist 2022 Multi-Modal Imaging with Deep Learning and Modeling
Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy
Recorded 27 January 2023. Maxim Ziatdinov of the Oak Ridge National Laboratory presents "Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy" at IPAM's Learning and Emergence in Molecular Systems Workshop. Abstract: Machine learning and artificial intelligence are
From playlist 2023 Learning and Emergence in Molecular Systems
"Microscopy is all you need" - Sergei Kalinin
This webinar is presented by Dr. Sergei Kalinin, corporate fellow at the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory and Associate Professor at the Department of Materials Science and Engineering at the University of Tennessee-Knoxville. Sergei discusses how m
From playlist Materials Informatics
Jerome Darbon - Algorithms for Non-Local Filtering; application CryoElectron & biological microscopy
Recorded 15 September 2022. Jerome Darbon of Brown University presents "Efficient algorithms for Non-Local Filtering and applications to Cryo-Electron microscopy and biological microscopy" at IPAM's Computational Microscopy Tutorials. Abstract: We present fast and scalable algorithms for n
From playlist Tutorials: Computational Microscopy 2022
Paul Voyles - Data-Information-Knowledge: Material Microscopy Problems w/ Computational Solutions?
Recorded 14 September 2022. Paul Voyles of the University of Wisconsin-Madison presents "From Data to Information to Knowledge: Problems in Materials Microscopy with Computational Solutions?" at IPAM's Computational Microscopy Tutorials. Abstract: One framework to understand the workflow o
From playlist Tutorials: Computational Microscopy 2022