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Publication Detail
NanoJ: a high-performance open-source super-resolution microscopy toolbox
  • Publication Type:
    Working discussion paper
  • Authors:
    Laine R, Tosheva K, Gustafsson N, Gray R, Almada P, Albrecht D, Risa G, Hurtig F, Lindås A-C, Baum B, Mercer J, Leterrier C, Pereira P, Culley S, Henriques R
  • Publication date:
    10/2018
  • Status:
    Published
Abstract
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 de-veloped 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 re-construction (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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