In contrast to the luxury of screening against a critical single target protein, many of the complex diseases that you need to screen drugs against require a broader view of cell or tissue phenotype. This has led to a significant shift towards multi-dimensional High-Content Analysis (HCA) with spheroids, organoids or tumoroids. There are new and emerging important applications involving High-Content Screening that require sophisticated image analysis methods, scalable from 2D to 3D and even 4D.
The ZEISS arivis Scientifc Image Analysis Platform allows for highly scalable and automated assay analysis pipelines on the local workstation as well as server-based or cloud-based processing services. Fully integrated workflows for AI methods such as Machine Learning and Deep Learning can save valuable time for recurring and reproducible imaging analysis tasks. Large data sets from past experiments have typically been safely archived and can be re-analyzed with these new methods to generate new discoveries, thanks to the compatibility with multiple vendor-specific file formats.
In this webinar, you will learn:
