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TestSTORM: Simulator for optimizing sample labeling and image acquisition in localization based super-resolution microscopy
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...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3959829/ https://ncbi.nlm.nih.gov/pubmed/24688813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.5.000778 |
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