NanoJ - a high-performance open-source super-resolution microscopy toolbox

Authors: Romain F Laine, Kalina L Tosheva, Nils Gustafsson, Robert D M Gray, Pedro Almada, David Albrecht, Gabriel T Risa, Fredrik Hurtig, Ann-Christin Lindås, Buzz Baum, Jason Mercer, Christophe Leterrier, Pedro M Pereira, Siân Culley, Ricardo Henriques
Technologies: CARE, NanoJ, NanoJ-Fluidics, NanoJ-SQUIRREL, NanoJ-SRRF, NanoJ-VirusMapper and QuickPALM
Paper published in Journal of Physics D - Applied Physics, January 2019
Publisher: IOP Publishing

The manuscript introduces NanoJ, an open-source image analysis framework designed for super-resolution microscopy. NanoJ consists of five modules: NanoJ-Core for image correction and drift correction, NanoJ-SRRF for live-cell super-resolution imaging, NanoJ-SQUIRREL for image quality assessment, NanoJ-VirusMapper for single-particle analysis of viral architecture, and NanoJ-Fluidics for precise and accurate automated liquids exchange. Both VirusMapper and NanoJ-Fluidics are compatible with various fluorescence microscopy methods and have been demonstrated to enhance the capabilities and efficiency of live-cell super-resolution imaging. NanoJ is expected to be expanded in the future to improve quantitative data analysis and measure the reliability of fluorescent microscopy studies.