Multiple signal classification algorithm for super-resolution fluorescence microscopy
Single-molecule localization microscopy offers super-resolution imaging, but needs a long acquisition time and a toxic photochemical environment. Here, the authors demonstrate a multiple signal classification algorithm that achieves a resolution of 50 nm with as few as 50 frames in a biologically co...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2016
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/cf8477f5b7a3429f92b81357ade60c0a |
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| Sumario: | Single-molecule localization microscopy offers super-resolution imaging, but needs a long acquisition time and a toxic photochemical environment. Here, the authors demonstrate a multiple signal classification algorithm that achieves a resolution of 50 nm with as few as 50 frames in a biologically conducive environment. |
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