AI and latest approaches for 3D Cell Analysis

Artificial Intelligence is transforming the field of image analysis, in specific Deep Learning approaches can help us achieve image segmentation tasks that we before thought impossible.

Machine learning can be ideal when data is not anticipated to change much from the data used for the training. On the other hand, deep learning can help us creating image analysis pipelines that are more robust to variability in the images, such changes in intensity, differences in SNR or even the segmentation of non-labelled structures or EM images. During this seminar we will discuss the pros and cons of various AI technologies for image analysis and how to best utilize if for your cell analyses.