Democratising high-quality live-cell super-resolution microscopy enabled by open-source analytics in ImageJ
Super-resolution microscopy has become essential for the study of nanoscale biological processes. This type of imaging often requires the use of specialised image analysis tools to process a large volume of recorded data and extract quantitative information. In recent years, our team has built an open-source image analysis framework for super-resolution microscopy designed to combine high performance and ease of use. We named it NanoJ - a reference to the popular ImageJ software it was developed for. In this talk I will highlight the current capabilities of NanoJ for several essential processing steps including super-resolution image reconstruction (NanoJ-SRRF), image quality assessment (NanoJ-SQUIRREL), structural modelling (NanoJ-VirusMapper) and control of the sample environment (NanoJ-Fluidics).
Associate Professor, MRC-Laboratory for Molecular Cell Biology, University College London and the Francis Crick Institute
Domain 4 - UMR 144 - Subcellular Structure and Cellular Dynamics