Open AccessMusiJ: an ImageJ plugin for video nanoscopy
Author(s) -
Sebastián Acuña,
Florian Ströhl,
Ida S. Opstad,
Balpreet Singh Ahluwalia,
Krishna Agarwal
Publication year - 2020
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.382735
Subject(s) - plug in , computer science , computer vision , computer graphics (images) , matlab , artificial intelligence , image processing , superresolution , image resolution , image (mathematics) , programming language , operating system
We present an open-source implementation of the fluctuation-based nanoscopy method MUSICAL for ImageJ. This implementation improves the algorithm's computational efficiency and takes advantage of multi-threading to provide orders of magnitude faster reconstructions than the original MATLAB implementation. In addition, the plugin is capable of generating super-resolution videos from large stacks of time-lapse images via an interleaved reconstruction, thus enabling easy-to-use multi-color super-resolution imaging of dynamic systems.