The first paper to be presented at the event is entitled ‘Super Resolution Imaging of Protein Dynamics in Living Cell with Localization Algorithm of High-Density Fluorophores, Wedged Template Matching’ by Shigeo Watanabe et al, in collaboration with Dr. Yasushi Okada (Riken). This describes the Wedged Template Matching (WTM) algorithm for localising molecules with overlapping emission point spread functions. Importantly, the computation time to reconstruct a high-density final super resolution image is 20X – 1000X faster than other multi-emitter fitting algorithms, suggesting that live cell super resolution imaging will be practical.
‘Compensating for the Impacts of Camera-induced Noise in Super-Resolution Localization Microscopy’ by Keith Bennett et al, in collaboration with Dr. Daniel Sage (EPFL, Switzerland) and Prof. Zhen-li Huang (Huazhong University of Science and Technology, China), is the second paper to be presented. This compares reconstructed images built from identical datasets for scientific CMOS and EMCCD cameras using different algorithms (both algebraic and statistical methods) to show the effects of technology-specific camera imperfections on the reconstructed images.