Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ
Reconstruction of super resolution structured illumination microscopy (SR-SIM) datasets typically relies upon commercial software. Here Müller et al.present an open-source ImageJ plugin to facilitate reconstruction of SR-SIM data from a broad range of microscopy platforms.
Guardado en:
Autores principales: | Marcel Müller, Viola Mönkemöller, Simon Hennig, Wolfgang Hübner, Thomas Huser |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2016
|
Materias: | |
Acceso en línea: | https://doaj.org/article/09c5cc6268f74ff1ab7bcbf80935b690 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Video-rate multi-color structured illumination microscopy with simultaneous real-time reconstruction
por: Andreas Markwirth, et al.
Publicado: (2019) -
An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
por: Joris Roels, et al.
Publicado: (2020) -
Fast live-cell conventional fluorophore nanoscopy with ImageJ through super-resolution radial fluctuations
por: Nils Gustafsson, et al.
Publicado: (2016) -
Super-resolution imaging of fluorescent dipoles via polarized structured illumination microscopy
por: Karl Zhanghao, et al.
Publicado: (2019) -
QuickFigures: A toolkit and ImageJ PlugIn to quickly transform microscope images into scientific figures.
por: Gregory Mazo
Publicado: (2021)