Metadata-Version: 2.1
Name: CCF_translator
Version: 0.1.13
Summary: a package to translate data between common coordinate templates
License: MIT
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: nibabel
Requires-Dist: scipy
Requires-Dist: networkx
Requires-Dist: pandas
Requires-Dist: requests

# CCF_translator
![PyPI - Version](https://img.shields.io/pypi/v/CCF-translator)

A tool for translating between common coordinate frameworks using deformation matrices. 
A longstanding problem in NeuroInformatics has been the inability to easily translate data between common coordinate frameworks. CCF_translator aims to solve this. By connecting each new space to an existing one, we can construct a graph of deformations. This means that data can be translated as long as there is a route from one space to another, even if that route passes through multiple other spaces. Now, when new templates for new modalities, strains, or ages are released, users will not be subdivided into unrelated spaces. As long as they are connected to a space which exists in our network, they will be fully connected to all other spaces.  

CCF_translator can also interpolate between spaces and create a new intermediate space. This is primarily useful for development, where, for instance, the midpoint between day 5 and day 7 can be taken and used as a postnatal day 6 reference. It could also be useful for making references of disease progression.  

![a graph of all the available spaces and how they are connected. the spaces are nodes with the space name written on top of them, the edges show which spaces are connected to which other spaces.](https://github.com/Neural-Systems-at-UIO/CCF_translator/blob/main/media/graph.png)
## Installation
CCF_translator can be installed by running 
```
pip install CCF-translator
```
## Currently supported spaces
the name in CCF_translator aims to copy the name of atlases in the brainglobe_atlasapi when possible. 
| Framework Name | name in api | supported age range
| -------------- | ----------- | ----------- 
| Allen mouse CCFv3 | allen_mouse | 56
| Demba developmental mouse | demba_dev_mouse| 4-56
| Gubra lightsheet mouse | perens_lsfm_mouse| 56
| Gubra MRI mouse | perens_mri_mouse| 56
| Gubra STPT mouse | perens_stpt_mouse| 56
| Princeton lighsheet mouse | princeton_mouse| 56
## Usage
**Transforming points**

To take a coordinate in one volume and find the equivalent coordinate in a second volume is quite simple in CCF_translator. 
```python
import numpy as np
import CCF_translator

points = np.array([(286,250,267), (414,247,452)])
pset = CCF_translator.Pointset(points, 'demba_dev_mouse', voxel_size_micron=20, age_PND=56)
pset.transform(target_age=56, target_space='allen_mouse')
print(f"new points are {pset.values}")

```
```
new points are [[267 250 286] [452 247 414]]
 ```
**Transforming volumes**

Transforming a volume is equally simple, here we get the volume from the brainglobe api, but you can load it however you like. In the Demba space the valid ages are from 4 to 56, and all of these are valid targets for transformation. 
```python
from brainglobe_atlasapi.bg_atlas import BrainGlobeAtlas
import CCF_translator


voxel_size_micron = 10
space_name = r"allen_mouse"
atlas = BrainGlobeAtlas("{space_name}_{voxel_size_micron}um")
source_age = 56
target_age= 32

CCFT_vol = CCF_translator.Volume(
    values = atlas.reference,
    space = 'allen_mouse',
    voxel_size_micron=voxel_size_micron,
    segmentation_file=False,
    age_PND = source_age
)

CCFT_vol.transform(target_age, 'demba_dev_mouse')
CCFT_vol.save(rf"demo_data/P{target_age}_template_{voxel_size_micron}um.nii.gz")
```
## Contributing
If you would like to add a new space or connect an existing one, please create a deformation matrix and/or describe the required reorientation, flipping, cropping, and padding of the axis between this space and one that already exists in the network, and then open an issue in this repository.  Ideally, choose a space which covers all the areas which are covered in your space. While the Allen CCFv3 is very popular, it is missing the anterior olfactory bulb and the caudal portion of the cerebellum and brain stem, so it is not the optimal choice. 
