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

Visual identity

Logomark and logotype designed by Nepsis Scriptorium.

Instagram @nepsis.scriptorium Email nepsisscriptorium@gmail.com

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-1.25.4.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-1.25.4-py3-none-any.whl (11.7 MB view details)

Uploaded Python 3

File details

Details for the file thyra-1.25.4.tar.gz.

File metadata

  • Download URL: thyra-1.25.4.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-1.25.4.tar.gz
Algorithm Hash digest
SHA256 0dc7766edc73a872362ad1ca6f879fc88363b8ae5ca4ca8b37d7f257920c43b1
MD5 c616f47ed933282dfad606f22037a69e
BLAKE2b-256 ade1f5763038f42e1be60c800f365c7d91a70281e3b43eb747d98c93e1ca3cc6

See more details on using hashes here.

Provenance

The following attestation bundles were made for thyra-1.25.4.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-1.25.4-py3-none-any.whl.

File metadata

  • Download URL: thyra-1.25.4-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-1.25.4-py3-none-any.whl
Algorithm Hash digest
SHA256 bead4b76178f8999784ccef3c97ed3df9367c0315db0abddd50cdc1a8b713140
MD5 235a479bb1e88bcf05cf81e1fbd110d6
BLAKE2b-256 05d721f30fcd39961eef1d4d299eb7239ebff593c155e9baf9e07814c2057a23

See more details on using hashes here.

Provenance

The following attestation bundles were made for thyra-1.25.4-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