Analyze an Export with Python
Use NeuroQP Statistics for common no-code comparisons across animals, groups, conditions, brain regions, and stainings. Use NeuroQP Python when you need custom calculations, plots, quality-control checks, or integration with an existing analysis workflow.
Before you begin
- Prepare a project export and include the modules needed for your analysis.
- Download the completed ZIP file.
- Install NeuroQP Python in the environment used for your analysis.
python -m pip install neuroqp
Open the export
from neuroqp import open_export
with open_export("neuroqp_export.zip") as export:
print(export.name)
print([animal.name for animal in export.animals])
The package validates the archive before opening it. Keep reader-bound project objects inside the with block.
What you can do
Depending on the modules selected when preparing the export, you can:
- navigate animals, slices, stainings, and images
- read image and cell-detection mask data
- inspect atlas registrations and detail-image alignment
- load classification and cell-match results as NumPy arrays
- validate or inspect an export from Python or the command line
The export remains the source of truth: features are available only when their corresponding data, registration, or classification module was included.