Research at Computational Imaging Research Laboratory
Computational Imaging for Microscopy:
Many biological and biomedical applications increasingly require the ability to visualize living specimens at higher resolution and in new ways that provide information not available in the past. To address this growing need, new techniques that extend the limits of traditional microscopes by integrating computations with the microscope are constantly being developed.
Current research done at the Computational Imaging Research Laboratory (CIRL) is focused on the development of two such techniques: Computational Optical Sectioning Microscopy (COSM) and computational differential interference contrast (DIC) microscopy. The long term goal of the research is to fuse information extracted with these two techniques for a better representation of the imaged specimens. We have been particularly interested in the development and improvement of physics-based data models and model-based image processing methods for these types of microscopy modalities. The fundamental methodology is summarized in the figure below: