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

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Laine, Romain, F | Tosheva, Kalina, L | Gustafsson, Nils | Gray, Robert, D M | Almada, Pedro | Albrecht, David | Risa, Gabriel, T | Hurtig, Fredrik | Lindås, Ann-Christin | Baum, Buzz | Mercer, Jason | Leterrier, Christophe | Pereira, Pedro, M | Culley, Siân | Henriques, Ricardo

Edité par CCSD ; IOP Publishing -

International audience. Super-resolution microscopy (SRM) 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 SRM 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 paper, we highlight the current capabilities of NanoJ for several essential processing steps: spatio-temporal alignment of raw data (NanoJ-Core), super-resolution image reconstruction (NanoJ-SRRF), image quality assessment (NanoJ-SQUIRREL), structural modelling (NanoJ-VirusMapper) and control of the sample environment (NanoJ-Fluidics). We expect to expand NanoJ in the future through the development of new tools designed to improve quantitative data analysis and measure the reliability of fluorescent microscopy studies.

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