Skip to main content

A modern Python library for converting Mass Spectrometry Imaging (MSI) data into SpatialData/Zarr format - your portal to spatial omics

Project description

Thyra

Tests PyPI Python 3.11+ License: MIT Code style: black Docs

Thyra (from Greek thyra, meaning "door" or "portal") -- a modern Python library for converting Mass Spectrometry Imaging (MSI) data into the standardized SpatialData/Zarr format, serving as your portal to spatial omics analysis workflows.

Read the documentation | Getting Started | CLI Reference | API Reference

Features

  • Multiple Input Formats: ImzML, Bruker (.d directories), Waters (.raw directories)
  • SpatialData Output: Modern, cloud-ready format with Zarr backend
  • Memory Efficient: Handles large datasets (100+ GB) through streaming processing
  • Optical Alignment: Automatic MSI-to-optical image registration for Bruker data
  • Multi-Region Support: Handles slides with multiple tissue sections
  • Resampling: Physics-aware mass axis resampling (enabled by default)
  • 3D Support: Process volume data or treat as 2D slices
  • Cross-Platform: Windows, macOS, and Linux

Installation

pip install thyra

Quick Start

Command Line

# Basic conversion (resampling enabled by default)
thyra input.imzML output.zarr

# Bruker data with verbose logging
thyra data.d output.zarr -v DEBUG

# Disable resampling
thyra input.imzML output.zarr --no-resample

Python API

from thyra import convert_msi

success = convert_msi("data/sample.imzML", "output/sample.zarr")

Working with the Output

import spatialdata as sd

sdata = sd.read_zarr("output/sample.zarr")
msi_table = sdata.tables["msi_dataset_z0"]

print(f"Shape: {msi_table.shape}")  # (pixels, m/z bins)
print(f"m/z range: {msi_table.var['mz'].min():.1f} -- {msi_table.var['mz'].max():.1f}")

Documentation

Full documentation: M4i-Imaging-Mass-Spectrometry.github.io/thyra

Supported Formats

Input Extension Status
ImzML .imzML Full support
Bruker .d Full support (timsTOF + Rapiflex)
Waters .raw Full support

Output: SpatialData/Zarr -- cloud-ready, efficient, standardized

Development

git clone https://github.com/M4i-Imaging-Mass-Spectrometry/thyra.git
cd thyra
poetry install
poetry run pre-commit install
poetry run pytest

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT -- see LICENSE.

Citation

@software{thyra2024,
  title = {Thyra: Modern Mass Spectrometry Imaging Data Conversion},
  author = {Visvikis, Theodoros},
  year = {2024},
  url = {https://github.com/M4i-Imaging-Mass-Spectrometry/thyra}
}

Acknowledgments

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

thyra-1.24.0.tar.gz (11.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

thyra-1.24.0-py3-none-any.whl (11.7 MB view details)

Uploaded Python 3

File details

Details for the file thyra-1.24.0.tar.gz.

File metadata

  • Download URL: thyra-1.24.0.tar.gz
  • Upload date:
  • Size: 11.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for thyra-1.24.0.tar.gz
Algorithm Hash digest
SHA256 f9dff6cd820cdf9b25055ef0d95a66aa55e6046638a3834bb7cfbdb27ac3f20a
MD5 f5428260ee96626016f57605ef1f86c5
BLAKE2b-256 fab39c6af8001f01c6fc83279f4da8a066373d9fb9159a5fe49d1dbfeafd4ddf

See more details on using hashes here.

Provenance

The following attestation bundles were made for thyra-1.24.0.tar.gz:

Publisher: release.yml on M4i-Imaging-Mass-Spectrometry/thyra

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file thyra-1.24.0-py3-none-any.whl.

File metadata

  • Download URL: thyra-1.24.0-py3-none-any.whl
  • Upload date:
  • Size: 11.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for thyra-1.24.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d1fde3eca58705ce7014659478d3cd4c22273a4c088210f7fc5d9d45d486ea74
MD5 31b76575682e4060093dbc2ddd850ba1
BLAKE2b-256 11b0b5155fcf441d1061098ccdffadb5d40b22932259ab64351f9971a934f40b

See more details on using hashes here.

Provenance

The following attestation bundles were made for thyra-1.24.0-py3-none-any.whl:

Publisher: release.yml on M4i-Imaging-Mass-Spectrometry/thyra

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page