Image Analysis gains popularity and importance over the years, for life science researchers who frequently use microscopy techniques. The ammount of images we generated per weeks, or per experiment increase substantially, thanks to microscopy automation. It becomes critical how do we make sense of such large quantity of data. Image Analysis is one method to address such challenge. In this webinar recording, we will breifly discuss the basic principles of digital imaging and image analysis workflows.
As enjoyable as microscopic images are - their real value is in the data they provide. Image segmentation is currently one of the biggest challenges in microscopy. Segmentation lays the foundation for all subsequent image analysis steps. ZEN Intellesis uses deep learning and Python to easily create robust and reproducible segmentation results, even for non-experts. You can now train the software once and then ZEN Intellesis can segment a batch of hundreds of images automatically. You save time and minimize user bias.