MusiJ: an ImageJ plugin for video nanoscopy

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https://hdl.handle.net/10037/18593
DOI
https://doi.org/10.1364/BOE.382735
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Date
2020-04-14
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Acuña Maldonado, Sebastian Andres; Ströhl, Florian; Opstad, Ida Sundvor; Ahluwalia, Balpreet S.; Agarwal, Krishna
Abstract
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.
Is part of
Opstad, I.S. (2021). Bringing optical nanoscopy to life - Super-resolution microscopy of living cells. (Doctoral thesis). https://hdl.handle.net/10037/20306
 
Acuna Maldonado, S.A. (2023). Multiple Signal Classification Algorithm: A computational microscopy tool for fluorescence microscopy. (Doctoral thesis). https://hdl.handle.net/10037/31879.
Publisher
Optical Society of America
Citation
Acuña Maldonado SAA, Ströhl F, Opstad IS, Ahluwalia BS, Agarwal K. MusiJ: an ImageJ plugin for video nanoscopy. Biomedical Optics Express. 2020;11(5):2548-2559
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