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Data Access
To enable pipleline development and benchmarking, we have identified several test datasets. We host an publicly accessible Electron Microscopy Dataset (from Kasthuri et al., 2015 https://www.sciencedirect.com/science/article/pii/S0092867415008247) and an X-ray microtomography dataset (from Dyer et al., 2017 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5659258/). We also provide a link to data from the Allen Institute Reference Atlas for 2-D cell detection examples.
Data can be accessed, visualized, and downloaded from our bossDB database here: https://api.bossdb.io. In the configuration yaml files for our example workflows, use the access token below.
General:
- boss console login: https://api.bossdb.io/v1/mgmt/
- neuroglancer (for visualization): https://neuroglancer.bossdb.io Details:
- Username: public-access
- Password: public
- Public_Access_Token: public If the public access token has changed, please log into api.bossdb.io using the above credentials and go to public-acces->api_token to find the current token.
Electron Microscopy Dataset:
- Coll: Kasthuri
- Exp: em
- Chans: images, I2G_Membranes_i_Pub, I2G_Neuron_Seg_Pub, I2G_Synapses_i_Pub
- Coord: KasthuriFrame
- link: https://api.bossdb.io/v1/mgmt/resources/Kasthuri/em
X-ray Microtomography Dataset:
- Coll: XBrainGTech5
- Exp: Proj4
- Chans: full_vol, membranes_Pub, vessels_Pub, cells_Pub
- Coord: XBrain_ingest_coord2
- link: https://api.bossdb.io/v1/mgmt/resources/XBrainGTech5/Proj4
You can use our boss access tool to download data locally in addition to using it in containerized workflows. https://github.com/aplbrain/saber/tree/master/saber/boss_access
To build the container:
docker build -t boss-access .
To run the container:
docker run -it -v $(pwd)/data:/data/ boss-access /bin/bash
To download example Electron Microscopy data (use public access token above):
boss_access.py pull -t <Public_Access_Token> --host api.bossdb.io --coll Kasthuri --exp em --chan images --coord KasthuriFrame --dtype uint8 --itype image --res 1 --xmin 5990 --xmax 7824 --ymin 6059 --ymax 7892 --zmin 610 --zmax 620 --padding 0 -o /data/em_images.npy
To download example X-ray microtomography data (use public access token above):
boss_access.py pull -t <Public_Access_Token> --host api.bossdb.io --coll XBrainGTech5 --exp Proj4 --chan rodrilm2 --coord XBrain_ingest_coord2 --dtype uint8 --itype image --res 0 --xmin 1100 --xmax 1400 --ymin 1000 --ymax 1300 --zmin 300 --zmax 600 --padding 0 -o /data/xray_data.npy
We also provide an example workflow for detection of cell bodies from 2-D Brain Atlas data collected at the Allen Brain Institute (Lein, E.S. et al. (2007) Genome-wide atlas of gene expression in the adult mouse brain, Nature 445: 168-176. doi: 10.1038/nature05453.)
The data are hosted by the Dyer Lab (https://github.com/nerdslab/celldetect) and can be downloaded here: https://www.dropbox.com/s/f21jpjad487f1nv/celldetect-demo-data.zip?dl=0
Here is an example visualization of EM data:
- x-range: [5000, 6000]
- y-range: [8620, 9620]
- z-range: [400, 405]
- resolution: 0
- neuroglancer link: https://neuroglancer.bossdb.org/#!{'layers':{'images':{'type':'image'_'source':'boss://https://api.bossdb.org/Kasthuri/em/images'}_'I2G_Membranes_i_Pub':{'type':'image'_'source':'boss://https://api.bossdb.org/Kasthuri/em/I2G_Membranes_i_Pub'_'visible':false}_'I2G_Synapses_i_Pub':{'type':'image'_'source':'boss://https://api.bossdb.org/Kasthuri/em/I2G_Synapses_i_Pub'_'visible':false}_'I2G_Neuron_Seg_Pub':{'type':'segmentation'_'source':'boss://https://api.bossdb.org/Kasthuri/em/I2G_Neuron_Seg_Pub'}}_'navigation':{'pose':{'position':{'voxelSize':[3_3_30]_'voxelCoordinates':[5448.3203125_9158.8349609375_403]}}_'zoomFactor':6.060436461202043}_'layout':'xy'}
Table of Contents
- Overview
- Setup and Configuration:
- Conduit:
- FAQs
- Data Access
- Tools:
- Examples: