Cargando…
Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain
We have developed an open-source software called bi-channel image registration and deep-learning segmentation (BIRDS) for the mapping and analysis of 3D microscopy data and applied this to the mouse brain. The BIRDS pipeline includes image preprocessing, bi-channel registration, automatic annotation...
Autores principales: | Wang, Xuechun, Zeng, Weilin, Yang, Xiaodan, Zhang, Yongsheng, Fang, Chunyu, Zeng, Shaoqun, Han, Yunyun, Fei, Peng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840180/ https://www.ncbi.nlm.nih.gov/pubmed/33459255 http://dx.doi.org/10.7554/eLife.63455 |
Ejemplares similares
-
Correction: Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain
por: Wang, Xuechun, et al.
Publicado: (2021) -
Mapping the function of neuronal ion channels in model and experiment
por: Podlaski, William F, et al.
Publicado: (2017) -
Protein allocation and utilization in the versatile
chemolithoautotroph Cupriavidus necator
por: Jahn, Michael, et al.
Publicado: (2021) -
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation
por: Estienne, Théo, et al.
Publicado: (2020) -
Automated Bird Counting with Deep Learning for Regional Bird Distribution Mapping
por: Akçay, Hüseyin Gökhan, et al.
Publicado: (2020)