Date: March 24, 2022
Time: 10:00am (PDT), 1:00pm (EDT), 7:00pm (CET)
Easy-to-use AI-based deep learning is now integrated as the standard analysis methodology in our best-in-class analysis software. Designed for anyone, it allows tissue-based researchers to tackle both simple and complex datasets across a wide variety of applications. In the past, only image analysis experts could analyse complex tissues. Our new analysis packages include powerful pre-trained nuclei segmentation algorithms suitable for brightfield and fluorescence applications which can be further tuned for even more specificity, and deep-learning-based tissue segmentation to find tissues of interest, exclude artifacts, and enable scoring/counting within specific tissue compartments. Now, anyone with the understanding of tissue morphology can train an AI-based deep learning network to get accurate and reproducible data, making it easy to generate reliable quantitative results needed for breakthrough discoveries and publications.
- How the use of deep learning improves the analysis of digital pathology images
- The use of deep learning to segment tissues, find artifacts, and localize scoring/counting to specific regions of tissue
- Using pre-trained deep learning networks to segment nuclei across a range of tissue and staining types
Webinars will be available for unlimited on-demand viewing after live event.