K-factor image deshadowing for three-dimensional fluorescence microscopy

The ability to track single fluorescent particles within a three dimensional (3D) cellular environment can provide valuable insights into cellular processes. In this paper, we present a modified nonlinear image decomposition technique called K-factor that reshapes the 3D point spread function (PSF)...

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Detalles Bibliográficos
Autores principales: Ilovitsh, Tali, Weiss, Aryeh, Meiri, Amihai, Ebeling, Carl G., Amiel, Aliza, Katz, Hila, Mannasse-Green, Batya, Zalevsky, Zeev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4558540/
https://www.ncbi.nlm.nih.gov/pubmed/26333693
http://dx.doi.org/10.1038/srep13724
Descripción
Sumario:The ability to track single fluorescent particles within a three dimensional (3D) cellular environment can provide valuable insights into cellular processes. In this paper, we present a modified nonlinear image decomposition technique called K-factor that reshapes the 3D point spread function (PSF) of an XYZ image stack into a narrow Gaussian profile. The method increases localization accuracy by ~60% with compare to regular Gaussian fitting, and improves minimal resolvable distance between overlapping PSFs by ~50%. The algorithm was tested both on simulated data and experimentally.

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