Skip to main content

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

flowchart

Data Pipeline Diagram

pipeline

Getting Started

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)

Source distribution for element-zstack 0.1.2
File Size Uploaded
element-zstack-0.1.2.tar.gz 10.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for element-zstack 0.1.2
File Interpreter ABI Platform
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
SHA-256 checksum
How to use checksums
e44faf9c313b47439370718efc6bb7f10c763c3f13ea721331a592dfa4f4a5cf
BLAKE2b-256 checksum
How to use checksums
319551c04a95e4aac7f115c7b75b085729184a8088fede42040831ea659a1c3f
Upload date
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
ce486cc50c48aeeec830fe345f8bea6b3613d8f86bee9a7ae8a398f8b5870da3
BLAKE2b-256 checksum
How to use checksums
d6840796599d20090db8057180ea8bb93a2cfc53bb84dd3844abfadabc42b8ff
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.17

Release history Release notifications | RSS feed

This release

0.1.2 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page