Published May 9, 2025
| Version v1
Dataset
Open
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons
Creators
Description
The project encompasses three types of data: three-dimensional images of neuronal processes, the skeletons of these processes, and the masks generated from the skeletons. The image dataset is collected from fluorescence micro-optical sectioning tomography and consists of 852 carefully selected volume images, each sized at 192×192×192 voxels.
Files
test.txt
Files
(6.2 GB)
| Name | Size | Download all |
|---|---|---|
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md5:3d69964fee6350614c73a046df131197
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6.1 GB | Download |
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md5:2169f1035a5bb8a9d1f26791a31f2ae8
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130.8 MB | Download |
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md5:2df0036563a3a2f5d92672e47c0792f5
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17.2 MB | Download |
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md5:20edc2089e114dcca5044ba9c0837890
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2.3 kB | Preview Download |
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md5:6563504fb4856b1ae67143d091b4a369
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16.8 kB | Preview Download |
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md5:234412e7c7704bc9463778bbd2cdcd09
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2.1 kB | Preview Download |
Additional details
Dates
- Available
-
2025-05-09