Automates cryo-EM image acquisition and processing
Cryo-EM typically generates up to 100,000 images per project. Turning these images into high-resolution 3D models is very time consuming for the cryo-EM researcher.
Within the single particle analysis workflow, the steps of particle picking, 2D classification and 3D classification are known to be time intensive for the researcher and expertise, bias and fatigue can also impact results.
HTI is developing a solution that uses machine learning to automate the 2D and 3D class selection steps.
- Automated Machine Learning 2D and 3D Class Selection
- Accelerates image processing for faster results
- Accuracy validated with multiple protein datasets
- Integrated seamlessly into the cryo-EM workflow
- Easy to deploy with the most popular image processing software packages (open source and commercial)
- Reduces new-user training time
Intelligence + Accuracy + Speed = Better Discovery
HTI presented this poster on CryoDiscoveryTM at industry leading
microscopy and crystallography events
Click to learn more or download poster
