Cargando…
Joint modeling of cell and nuclear shape variation
Modeling cell shape variation is critical to our understanding of cell biology. Previous work has demonstrated the utility of nonrigid image registration methods for the construction of nonparametric nuclear shape models in which pairwise deformation distances are measured between all shapes and are...
Autores principales: | Johnson, Gregory R., Buck, Taraz E., Sullivan, Devin P., Rohde, Gustavo K., Murphy, Robert F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710235/ https://www.ncbi.nlm.nih.gov/pubmed/26354424 http://dx.doi.org/10.1091/mbc.E15-06-0370 |
Ejemplares similares
-
Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules
por: Johnson, Gregory R., et al.
Publicado: (2015) -
Evaluation of methods for generative modeling of cell and nuclear shape
por: Ruan, Xiongtao, et al.
Publicado: (2019) -
Statistical shape modelling of the first carpometacarpal joint reveals high variation in morphology
por: Rusli, Wan M. R., et al.
Publicado: (2019) -
Application of statistical shape modeling to the human hip joint: a scoping review
por: Johnson, Luke G., et al.
Publicado: (2023) -
Generalized Models for Rock Joint Surface Shapes
por: Du, Shigui, et al.
Publicado: (2014)