Abstract

Intravital imaging is a tool for visual assessment of biological processes. Since it allows to conserve spatial and time resolution of the observed events, intravital imaging is by far the most convincing method to track behaviour of different biological structures such as cells or tissues in their physiological environment. Depending on different features of the observed object (size, optical density, localisation depth, labelling), various approaches are taken. The first speaker will give an overview of the different experimental setups. Automated image analysis is the process of extracting meaningful information from images, using computational methods. The purpose of the second part of the talk is to briefly describe how intravital microscopy data can be visualised and analysed, using some of the most commonly applied image analysis approaches, such as cell identification, distance measurements and cell tracking. 3D and 4D intravital images of the bone marrow microenvironment will be used as examples to demonstrate the application and efficiency of such analysis approaches.

There will be a small session on the Borysiewicz Biomedical Sciences Fellowship Programme.