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TestSTORM: Simulator for optimizing sample labeling and image acquisition in localization based super-resolution microscopy.
- Source :
-
Biomedical optics express [Biomed Opt Express] 2014 Feb 18; Vol. 5 (3), pp. 778-87. Date of Electronic Publication: 2014 Feb 18 (Print Publication: 2014). - Publication Year :
- 2014
-
Abstract
- Localization-based super-resolution microscopy image quality depends on several factors such as dye choice and labeling strategy, microscope quality and user-defined parameters such as frame rate and number as well as the image processing algorithm. Experimental optimization of these parameters can be time-consuming and expensive so we present TestSTORM, a simulator that can be used to optimize these steps. TestSTORM users can select from among four different structures with specific patterns, dye and acquisition parameters. Example results are shown and the results of the vesicle pattern are compared with experimental data. Moreover, image stacks can be generated for further evaluation using localization algorithms, offering a tool for further software developments.
Details
- Language :
- English
- ISSN :
- 2156-7085
- Volume :
- 5
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Biomedical optics express
- Publication Type :
- Academic Journal
- Accession number :
- 24688813
- Full Text :
- https://doi.org/10.1364/BOE.5.000778