NanoJ: A high-performance open-source super-resolution microscopy toolbox
Research output: Contribution to journal › Article › peer-review
Authors
Colleges, School and Institutes
External organisations
- UCL
- The Francis Crick Institute
- Department of Molecular Biosciences, The Wenner-Gren Institute
- CNRS/Aix-Marseille Universite
Abstract
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: spatiooral 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.
Details
Original language | English |
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Article number | 163001 |
Journal | Journal of Physics D: Applied Physics |
Volume | 52 |
Issue number | 16 |
Early online date | 28 Jan 2019 |
Publication status | Published - 18 Feb 2019 |
Keywords
- Fiji, fluidics, image analysis, image quality assessment, ImageJ, single-particle analysis, Super-resolution microscopy