In this webinar we’ll show examples of various deep learning network models, trained using Olympus scanR AI high content screening system. scanR uses a self-learning microscopy approach that requires minimal human supervision.

We will demonstrate how easy it is to train DNNs to perform segmentation tasks robustly in challenging scenarios without a lot of technical expertise. The performance of these DNNs exceeds traditional approaches and opens doors to new life science microscopy applications.

Agenda:

1. An introduction to deep learning and neural networks
2. Deep learning examples in object recognition and image processing
3. Applications of deep learning in microscopy and high content screening
4. Conclusions and outlook

Presenter

Daniel Bemmerl
Application Specialist
Olympus Soft Imaging Solutions