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GTC ON-DEMAND

Presentation
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Abstract:
Learn how high-resolution imaging is revolutionizing science and dramatically changing how we process, analyze, and visualize at this new scale. We will show the journey a researcher can take to produce images capable of winning a Nobel prize. We'll review the last two years of development in single-particle cryo-electron microscopy processing, with a focus on accelerated software, and discuss benchmarks and best practices for common software packages in this domain. Our talk will include videos and images of atomic resolution molecules and viruses that demonstrate our success in high-resolution imaging.
Learn how high-resolution imaging is revolutionizing science and dramatically changing how we process, analyze, and visualize at this new scale. We will show the journey a researcher can take to produce images capable of winning a Nobel prize. We'll review the last two years of development in single-particle cryo-electron microscopy processing, with a focus on accelerated software, and discuss benchmarks and best practices for common software packages in this domain. Our talk will include videos and images of atomic resolution molecules and viruses that demonstrate our success in high-resolution imaging.  Back
 
Topics:
Computational Biology & Chemistry, In-Situ & Scientific Visualization, Data Center & Cloud Infrastructure, HPC and AI, Medical Imaging & Radiology
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9664
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Abstract:
Imaging datasets are becoming larger and larger as new generation equipment provides higher definition imaging and scanning modalities. Part of analysing these datasets involves choosing the optimal hardware and software. We'll look at the design choices and workflow made for processing cryo-electron microscopy data with results from an NVIDIA DGX-1 and cloud-provisioned HPC.
Imaging datasets are becoming larger and larger as new generation equipment provides higher definition imaging and scanning modalities. Part of analysing these datasets involves choosing the optimal hardware and software. We'll look at the design choices and workflow made for processing cryo-electron microscopy data with results from an NVIDIA DGX-1 and cloud-provisioned HPC.  Back
 
Topics:
Computational Biology & Chemistry, Healthcare and Life Sciences, Video & Image Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7232
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