[3dem] May 14 Webinar on AI For Cryoem Data Selection And Classification

[Alex Noble]

Dear all,

Nvidia is holding a webinar event which is of general interest to the EM community. Led by MIT and NYSBC, the webinar will cover the general problem and importance of object detection in cryoEM along with a robust solution for particle picking, Topaz. Please see the link below to register.

https://info.nvidia.com/ai-cryoem-data-selection-reg-page


Date: Tuesday, May 14, 2019

Time: 9am – 10am US PT; 12pm – 1pm ET; 5pm – 6pm BST

Description

Single particle cryo-electron microscopy (cryoEM) is an imaging technology that allows direct observation of proteins in native and near-native states in atomic detail. However, determining the structure of a protein from projections captured by the EM requires collecting millions of examples.

By leveraging positive-unlabeled learning, we can use a small number of example protein projections, provided by the user, to train a neural network to detect proteins of any size or shape. Topaz, the implementation of this framework, can detect significantly more proteins than all other software tested while also minimizing manual labeling required by the user. Furthermore, the positive-unlabeled approach to object detection is broadly applicable to other microscopy domains.


By attending this webinar, you'll learn:

  *   CryoEM image collection and processing procedures
  *   Particle picking in cryoEM images with Topaz using positive-unlabeled learning
  *   Prospects in the automation of cryoEM

We look forward to your attendance.

Kind regards,
Tristan Bepler
Alex Noble

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