Cargando…
Online conversion of reconstructed neural morphologies into standardized SWC format
Digital reconstructions provide an accurate and reliable way to store, share, model, quantify, and analyze neural morphology. Continuous advances in cellular labeling, tissue processing, microscopic imaging, and automated tracing catalyzed a proliferation of software applications to reconstruct neur...
Autores principales: | Mehta, Ketan, Ljungquist, Bengt, Ogden, James, Nanda, Sumit, Ascoli, Ruben G., Ng, Lydia, Ascoli, Giorgio A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654402/ https://www.ncbi.nlm.nih.gov/pubmed/37973857 http://dx.doi.org/10.1038/s41467-023-42931-x |
Ejemplares similares
-
Bibliometric analysis of neuroscience publications quantifies the impact of data sharing
por: Emissah, Herve, et al.
Publicado: (2023) -
An open repository for single-cell reconstructions of the brain forest
por: Akram, Masood A., et al.
Publicado: (2018) -
Automatic identification of scientific publications describing digital reconstructions of neural morphology
por: Maraver, Patricia, et al.
Publicado: (2023) -
Automatic identification of scientific publications describing digital reconstructions of neural morphology
por: Maraver, Patricia, et al.
Publicado: (2023) -
An imaging analysis protocol to trace, quantify, and model multi-signal neuron morphology
por: Nanda, Sumit, et al.
Publicado: (2021)