Date: April 26, 2022
Time: 11:00am (PDT), 2:00pm (EDT), 8:00pm (CEST)
Balance between spatial resolution, temporal resolution, and sample viability is key to extracting more data from your imaging experiments. The right deep learning model can extend and complement your microscopy system to achieve optimal balance between these three factors. For many researchers, deploying a deep learning model is a daunting task due to the complexity involved in creating a model. In this webinar, Aivia expert Hoyin Lai, will demonstrate a streamlined deep learning workflow for gentle, long-term live cell imaging.
- Review deep learning operating principles in microscopy
- Examine deep learning approaches to denoising microscopy and improving image resolution
- Discover best practices for gathering data to train a deep learning model
Webinars will be available for unlimited on-demand viewing after live event.