DataJoint Element - ZStack
DataJoint Element for z-stack (volumetric) imaging, features cell segmentation with cellpose, data upload to BossDB, and data visualization with Neuroglancer. DataJoint Elements collectively standardize and automate data collection and analysis for neuroscience experiments. Each Element is a modular pipeline for data storage and processing with corresponding database tables that can be combined with other Elements to assemble a fully functional pipeline.
Experiment Flowchart
Data Pipeline Diagram
Getting Started
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Install from PyPI
pip install element-zstack
Support
- If you need help getting started or run into any errors, please contact our team by email at support@datajoint.com.
Release files for element-zstack 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| element-zstack-0.1.2.tar.gz | 10.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| element_zstack-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.4 kB
Release files / element-zstack-0.1.2.tar.gz
| Download URL | element-zstack-0.1.2.tar.gz |
|---|---|
| Size | 10.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
Release files / element_zstack-0.1.2-py3-none-any.whl
| Download URL | element_zstack-0.1.2-py3-none-any.whl |
|---|---|
| Size | 11.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|