Data set for "Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas"
Description
Data set for: Liu Y, Foustoukos G, Crochet S and Petersen CCH (2022) Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas. Front Neuroanat 15: 791015. https://doi.org/10.3389/fnana.2021.791015
There are 2 files in this upload:
1. The file named "2022_Liu_FrontNeuroanat.pdf" is the Open Access pdf of the online publication in Frontiers in Neuroanatomy.
2. The file named "Liu_data_code.zip" (~1 GB) is a zipped version of a folder ‘Liu_data_code’, which contains the data analyzed in the study along with the Python codes used to generate the published figures. The original high resolution image stacks obtained through whole-brain two-photon serial tomography are unfortunately too large for Zenodo, and only highly-downsampled data are included in this upload, which were used for registration with the Allen CCFv3. Instructions on how to view and analyse the anatomical data are provided in the 'README.docx' file, which you will find upon unzipping the folder.
Files
2022_Liu_FrontNeuroanat.pdf
Additional details
Related works
- Is cited by
- Journal article: 10.3389/fnana.2021.791015 (DOI)
Funding
- Swiss National Science Foundation
- Synergistic Approach to Capturing and Exploiting Microscopy Images CRSII5_177237
- Swiss National Science Foundation
- Neural circuits for goal-directed sensorimotor transformation 31003A_182010
- Swiss National Science Foundation
- Synaptic Mechanisms of Sensory Perception and Associative Learning 310030B_166595
References
- Liu Y, Foustoukos G, Crochet S and Petersen CCH (2022) Axonal and dendritic morphology of excitatory neurons in layer 2/3 mouse barrel cortex imaged through whole-brain two-photon tomography and registered to a digital brain atlas. Front Neuroanat 15: 791015. doi: 10.3389/fnana.2021.791015