Date: July 27, 2022
Time: 7:00am (PDT), 10:00am (EDT), 4:00pm (CEST)
The traditional approach to image analysis is time-consuming, error prone, and limited by less-than-robust segmentation. Artificial intelligence (AI) leverages information inherent in the images and the scientist’s knowledge to streamline analysis workflows and make advanced insight creation accessible for all. Aivia’s AI-powered image analysis empowers biological scientists to get to insights and publication faster.
Learning Objectives:
- Learn how the flexible batch analysis of 2-to-5D datasets from multiple images or multi-well plates get you to results faster
- Discover meaningful insights from your data via advanced charting options
- Harness the power of integrated deep learning-based cell segmentation algorithms (such as Cellpose) without AI-expertise
- Leverage built-in AI tools to bypass time-consuming parameter optimization process to rapidly produce robust and reproducible segmentation results
Webinars will be available for unlimited on-demand viewing after live event.