NeuroQP Docs

Exporting your project

Use the Export view when you want to download a reproducible snapshot of your project.

NeuroQP prepares the export as a single ZIP file that you can download once it is ready.

Export size

Exports can get large.

As a rough guide, around 4 GB for 100 slices is normal, depending on selected contents and image sizes.

What you can include

You can choose one or more export parts:

  • Data: original uploaded images, slice metadata, and cell detection masks where available
  • Registration: atlas metadata, registration points, slice coordinates, and detail alignment points for 4x reference + detail projects
  • Classification: selected classifier metadata and evaluation metrics, current training-sample labels, per-slice classification result arrays, and available detection-overlap match results

Project metadata, including the project workflow and staining roles, is always included automatically.

For independent-detection projects, classification results can include marker-specific detections. For co-expression workflows, detection-overlap match results are included when they are available and current for the selected detections.

How export works

  1. Open the Export view.
  2. Select the parts you want to include.
  3. If you export classification, choose the classifier to use for each staining.
  4. Click Prepare Export.
  5. Wait until the ZIP file is ready, then download it.

The download is prepared in the background, so you do not need to keep the page open the whole time.

Analyze the export in Python

Install the optional NeuroQP Python package when you want to use the exported project in your own analysis:

python -m pip install neuroqp

The package opens the ZIP directly and keeps animals, slices, stainings, images, registrations, classifications, and cell matches linked. See Analyze an Export with Python for a minimal example and links to the complete Python documentation.