STalign aligns spatial transcriptomics (ST) tissue sections to each other and to 3D atlases like the Allen Brain Atlas using algorithms that build upon diffeomorphic metric mapping.

More information regarding the overall approach, methods and validations can be found in our publication: STalign: Alignment of spatial transcriptomics data using diffeomorphic metric mapping Kalen Clifton*, Manjari Anant*, Gohta Aihara, Lyla Atta, Osagie K Aimiuwu, Justus M Kebschull, Michael I Miller, Daniel Tward^, Jean Fan^

Overview

STalign enables:

• alignment of single-cell resolution ST datasets within technologies
• alignment single-cell resolution ST datasets to histology
• alignment of ST datasets across technologies
• alignment of ST datasets to a 3D common coordinate framework

Installation & Import

Installation using pip

This installation method is intended for users who sets up a Python environment without pipenv.

pip install --upgrade "git+https://github.com/JEFworks-Lab/STalign.git"

All dependencies will be installed into your selected environment with the above command. Dependencies can be found in the requirements.txt file.

Installation using Pipfile from source

This installation method is intended for users who sets up a Python environment with pipenv. pipenv allows users to create and activate a virtual environment with all dependencies within the Python project. For more information and installation instructions for pipenv, see https://pipenv.pypa.io/en/latest/.

Fork and git clone the STalign github repository.

From the base directory of your local STalign git repo, create a Pipfile.lock file from Pipfile using:

pipenv install requests

NOTE: Since Pipfile.lock is platform-dependent and different across operating systems, do not commit Pipfile.lock to the git repo if contributing to STalign or collaborating with other people.

Activate the virtual environment using:

pipenv shell

Deactivate the virtual environment using:

exit

Import

To import STalign into your Python script, use:

from STalign import STalign

Input Data

To use this tool, you will need provide the following information:

single-cell resolution ST alignment

• Source: Arrays of x and y positions of cells
• Target: Arrays of x and y positions of cells

single-cell and spot-resolution ST alignment

• Source: Arrays of x and y positions of cells from single-cell resolution ST data
• Target: Registered H&E image from spot-resolution ST data

3D-2D alignment

• Source: (Default: Adult mouse Allen Brain Altas CCFv3) 3D Matrix with voxels corresponding to (1) cell intensity and (2) annotated tissue regions
• Target: Arrays of x and y positions of cells

Usage

To use STalign, please refer to our tutorials with usage examples.