Fractal tasks for the Opera/Operetta microscope and drug response profiling
Project description
operetta-compose
Fractal tasks to convert and process images from Perkin-Elmer Opera/Operetta high-content microscopes. Workflows for drug response profiling built upon the OME-ZARR file standard.
Task library
Currently the following tasks are available:
Task | Description |
---|---|
harmony_to_ome_zarr | Convert TIFFs which were exported from Harmony (Operetta/Opera, Perkin-Elmer) to OME-ZARR |
stardist_segmentation | Segment cells with Stardist |
regionprops_measurement | Take measurements using regionprops and write the features to the OME-ZARR |
label_prediction | Make predictions on the selected wells and write them to the OME-ZARR |
condition_registration | Register the experimental conditions in the OME-ZARR |
Development and installation in Fractal
- Install the package in dev mode with
python -m pip install -e ".[dev]"
- Develop the function according to the Fractal API
- Update the image list and the Fractal manifest with
python src/operetta_compose/dev/create_manifest.py
- Build a wheel file in the
dist
folder of the package withpython -m build
- Collect the tasks on a Fractal server
Updating docs
- Update the documentation under
/docs
- Update the function API with
quartodoc build
- Preview the documentation with
quarto preview
Fractal is developed by the UZH BioVisionCenter under the lead of @jluethi and under contract with eXact lab S.r.l..
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
Built Distribution
File details
Details for the file operetta_compose-0.2.3.tar.gz
.
File metadata
- Download URL: operetta_compose-0.2.3.tar.gz
- Upload date:
- Size: 19.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 01f90460e930cc29edbd2cc0f83b6927fb3caf02c1b046fa1613d6c2d29499b8 |
|
MD5 | 5019c6a5e99d7cbd48647faadef6f2f5 |
|
BLAKE2b-256 | 3b69bb9cc3b182c5e7d4109b7366da29364d8f82eed6de7ddd5bac6e5b2f1e3c |
Provenance
The following attestation bundles were made for operetta_compose-0.2.3.tar.gz
:
Publisher:
build.yml
on leukemia-kispi/operetta-compose
-
Statement type:
https://in-toto.io/Statement/v1
- Predicate type:
https://docs.pypi.org/attestations/publish/v1
- Subject name:
operetta_compose-0.2.3.tar.gz
- Subject digest:
01f90460e930cc29edbd2cc0f83b6927fb3caf02c1b046fa1613d6c2d29499b8
- Sigstore transparency entry: 148711244
- Sigstore integration time:
- Predicate type:
File details
Details for the file operetta_compose-0.2.3-py3-none-any.whl
.
File metadata
- Download URL: operetta_compose-0.2.3-py3-none-any.whl
- Upload date:
- Size: 22.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 45fb4a3fdd6a298e95f8220742a8baa696e7f354a0a40cfaa195ef9cf7ba4df7 |
|
MD5 | b2198b74aefb561b4cbf1a0962f8a771 |
|
BLAKE2b-256 | c90eb97bdd5b11e254cdd8edc5f546a8d21cfaebc34e78c5e4fdd6a26b077823 |
Provenance
The following attestation bundles were made for operetta_compose-0.2.3-py3-none-any.whl
:
Publisher:
build.yml
on leukemia-kispi/operetta-compose
-
Statement type:
https://in-toto.io/Statement/v1
- Predicate type:
https://docs.pypi.org/attestations/publish/v1
- Subject name:
operetta_compose-0.2.3-py3-none-any.whl
- Subject digest:
45fb4a3fdd6a298e95f8220742a8baa696e7f354a0a40cfaa195ef9cf7ba4df7
- Sigstore transparency entry: 148711245
- Sigstore integration time:
- Predicate type: