Cargando…
Robust and automated three-dimensional segmentation of densely packed cell nuclei in different biological specimens with Lines-of-Sight decomposition
BACKGROUND: Due to the large amount of data produced by advanced microscopy, automated image analysis is crucial in modern biology. Most applications require reliable cell nuclei segmentation. However, in many biological specimens cell nuclei are densely packed and appear to touch one another in the...
Autores principales: | Mathew, B., Schmitz, A., Muñoz-Descalzo, S., Ansari, N., Pampaloni, F., Stelzer, E.H.K., Fischer, S.C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458345/ https://www.ncbi.nlm.nih.gov/pubmed/26049713 http://dx.doi.org/10.1186/s12859-015-0617-x |
Ejemplares similares
-
Stereoscopic motion analysis in densely packed clusters: 3D analysis of the shimmering behaviour in Giant honey bees
por: Kastberger, Gerald, et al.
Publicado: (2011) -
Coalescence preference in densely packed microbubbles
por: Kim, Yeseul, et al.
Publicado: (2015) -
Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification
por: Unger, Jakob, et al.
Publicado: (2016) -
Empirical mode decomposition with missing values
por: Kim, Donghoh, et al.
Publicado: (2016) -
T cell migration in microchannels densely packed with T cells
por: Park, HyoungJun, et al.
Publicado: (2019)