Image Analysis
Many different modalities lead to the generation of large amounts of 2D or 3D image data (TEM, SEM, X-ray CT, LM, etc).
After imaging data is collected, there will undoubtedly be steps needed to computationally extract information from the data. This often entails image manipulation for the purpose of understanding the quality of the data or data processing pipeline, reconstructing from 2D images into 3D images, annotating or segmenting the images to identify regions of interest and taking measurements. In many cases, the image processing needs cannot be met without the development of new artificial intelligence and informatics approaches and software tools to apply these approaches to handle big data in semi-automated ways. These approaches enable faster, less subjective and novel understandings of biomedical processes and intersect with instrument development, microscope control, software engineering, and computational modelling.
