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Plugin update: apply-flatfield #443

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29 changes: 29 additions & 0 deletions transforms/images/apply-flatfield-plugin/.bumpversion.cfg
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[bumpversion]
current_version = 2.0.0-dev9
commit = False
tag = False
parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<dev>\d+))?
serialize =
{major}.{minor}.{patch}-{release}{dev}
{major}.{minor}.{patch}

[bumpversion:part:release]
optional_value = _
first_value = dev
values =
dev
_

[bumpversion:part:dev]

[bumpversion:file:pyproject.toml]
search = version = "{current_version}"
replace = version = "{new_version}"

[bumpversion:file:plugin.json]

[bumpversion:file:VERSION]

[bumpversion:file:README.md]

[bumpversion:file:src/polus/plugins/transforms/images/apply_flatfield/__init__.py]
20 changes: 20 additions & 0 deletions transforms/images/apply-flatfield-plugin/Dockerfile
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FROM polusai/bfio:2.3.3

# environment variables defined in polusai/bfio
ENV EXEC_DIR="/opt/executables"
ENV POLUS_IMG_EXT=".ome.tif"
ENV POLUS_TAB_EXT=".csv"
ENV POLUS_LOG="INFO"

# Work directory defined in the base container
WORKDIR ${EXEC_DIR}

COPY pyproject.toml ${EXEC_DIR}
COPY VERSION ${EXEC_DIR}
COPY README.md ${EXEC_DIR}
COPY src ${EXEC_DIR}/src

RUN pip3 install ${EXEC_DIR} --no-cache-dir

ENTRYPOINT ["python3", "-m", "polus.plugins.transforms.images.apply_flatfield"]
CMD ["--help"]
57 changes: 57 additions & 0 deletions transforms/images/apply-flatfield-plugin/README.md
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# Apply Flatfield Plugin (v2.0.0-dev9)

This WIPP plugin applies a flatfield operation on every image in a collection.
The algorithm used to apply the flatfield is as follows:

![Corrected = \frac{Original - Darkfield}{Brightfield} - Photobleach + Offset](https://render.githubusercontent.com/render/math?math=Corrected%20%3D%20%5Cfrac%7BOriginal%20-%20Darkfield%7D%7BBrightfield%7D%20-%20Photobleach%20%2B%20Offset)

A brief description of the variables:
1. ![Corrected](https://render.githubusercontent.com/render/math?math=Corrected) is the flatfield corrected image.
2. ![Darkfield](https://render.githubusercontent.com/render/math?math=Darkfield) is the darkfield image (sometimes referred to as offset, dark current, or dark noise). This is an image collected by the camera when the shutter is closed.
3. ![Brightfield](https://render.githubusercontent.com/render/math?math=Brightfield) is the normalized brightfield image. This is an image collected when the shutter is open and illumination is on. The image should contain single precision floating point values, where ![mean(Brightfield)=1](https://render.githubusercontent.com/render/math?math=mean(Brightfield)%3D1).
4. ![Photobleach](https://render.githubusercontent.com/render/math?math=Photobleach) is a scalar indicating how much the image has been photobleached. This is a per-image scalar offset.
5. ![Offset](https://render.githubusercontent.com/render/math?math=Offset) is a scalar applied to all images in the collection. If ![Photobleach](https://render.githubusercontent.com/render/math?math=Photobleach) is specified, then this plugin uses ![Offset=mean(Photobleach)](https://render.githubusercontent.com/render/math?math=Offset%3Dmean(Photobleach)).

For more information on flatfielding, see the paper by [Young](https://currentprotocols.onlinelibrary.wiley.com/doi/full/10.1002/0471142956.cy0211s14).
This plugin specifically uses the formulation from [Peng et al](https://www.nature.com/articles/ncomms14836).

For more information on WIPP, visit the
[official WIPP page](https://isg.nist.gov/deepzoomweb/software/wipp).

## TODO

### Additional Flatfield Formulations

Implement additional formulations of flatfield correction. Specifically, the formula specified by Young:

![Corrected = \frac{Original - Darkfield}{Brightfield - Darkfield} ](https://render.githubusercontent.com/render/math?math=Corrected%20%3D%20%5Cfrac%7BOriginal%20-%20Darkfield%7D%7BBrightfield%20-%20Darkfield%7D%20)

Additional formulations may also include reference image free algorithms for flatfield correction, such as the [rolling ball algorithm](https://www.computer.org/csdl/magazine/co/1983/01/01654163/13rRUwwJWBB).

### Photobleach Correction

Since the `basicpy` package and the `basic-flatfield-estimation` tool do not yet support photobleach estimation, this plugin does not yet support photobleach correction.
Once they add support for photobleach estimation, this plugin should be updated to support it.

## Building

To build the Docker image for the conversion plugin, run `./build-docker.sh`.

## Install WIPP Plugin

If WIPP is running, navigate to the plugins page and add a new plugin.
Paste the contents of `plugin.json` into the pop-up window and submit.

## Options

Command line options:

| Name | Description | I/O | Type |
|------------------|-----------------------------------------------------------------------|--------|------------|
| `--imgDir` | Input image collection to be processed by this plugin | Input | collection |
| `--imgPattern` | Filename pattern used to separate data and match with flatfield files | Input | string |
| `--ffDir` | Image collection containing flatfield and/or darkfield images | Input | collection |
| `--ffPattern` | Filename pattern used to match flatfield files to image files | Input | string |
| `--dfPattern` | Filename pattern used to match darkfield files to image files | Input | string |
| `--outDir` | Output collection | Output | collection |
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| `--preview` | Preview the output images' names without actually running computation | Input | boolean |
1 change: 1 addition & 0 deletions transforms/images/apply-flatfield-plugin/VERSION
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2.0.0-dev9
4 changes: 4 additions & 0 deletions transforms/images/apply-flatfield-plugin/build-docker.sh
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#!/bin/bash

version=$(<VERSION)
docker build . -t polusai/apply-flatfield-plugin:${version}
94 changes: 94 additions & 0 deletions transforms/images/apply-flatfield-plugin/plugin.json
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{
"name": "Apply Flatfield",
"version": "2.0.0-dev9",
"title": "Apply Flatfield",
"description": "Apply a flatfield algorithm to a collection of images.",
"author": "Nick Schaub ([email protected]), Najib Ishaq ([email protected])",
"institution": "National Center for Advancing Translational Sciences, National Institutes of Health",
"repository": "https://github.com/labshare/polus-plugins",
"website": "https://ncats.nih.gov/preclinical/core/informatics",
"citation": "",
"containerId": "polusai/apply-flatfield-plugin:2.0.0-dev9",
"baseCommand": [
"python3",
"-m",
"polus.plugins.transforms.images.apply_flatfield"
],
"inputs": [
{
"name": "imgDir",
"type": "collection",
"description": "Input image collection to be processed by this plugin",
"required": true
},
{
"name": "imgPattern",
"type": "string",
"description": "Filename pattern used to separate data and match with flatfied files",
"required": true
},
{
"name": "ffDir",
"type": "collection",
"description": "Image collection containing flatfield and/or darkfield images",
"required": true
},
{
"name": "ffPattern",
"type": "string",
"description": "Filename pattern used to match flatfield files to image files",
"required": true
},
{
"name": "dfPattern",
"type": "string",
"description": "Filename pattern used to match darkfield files to image files",
"required": false
},
{
"name": "preview",
"type": "boolean",
"description": "Preview the output images' names without actually running computation",
"required": false
}
],
"outputs": [
{
"name": "outDir",
"type": "collection",
"description": "Output collection"
}
],
"ui": [
{
"key": "inputs.imgDir",
"title": "Images to correct",
"description": "Input image collection to be processed by this plugin"
},
{
"key": "inputs.imgPattern",
"title": "Image pattern",
"description": "Filename pattern used to separate data and match with flatfield files"
},
{
"key": "inputs.ffDir",
"title": "Background images (flatfield/darkfield)",
"description": "Image collection containing flatfield and/or darkfield images"
},
{
"key": "inputs.ffPattern",
"title": "Flatfield file pattern",
"description": "Filename pattern used to match flatfield files to image files"
},
{
"key": "inputs.dfPattern",
"title": "Darkfield file pattern",
"description": "Filename pattern used to match darkfield files to image files"
},
{
"key": "inputs.preview",
"title": "Preview Output",
"description": "Preview the output images' names without actually running computation"
}
]
}
34 changes: 34 additions & 0 deletions transforms/images/apply-flatfield-plugin/pyproject.toml
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[tool.poetry]
name = "polus-plugins-transforms-images-apply-flatfield"
version = "2.0.0-dev9"
description = ""
authors = [
"Nick Schaub <[email protected]>",
"Najib Ishaq <[email protected]>"
]
readme = "README.md"
packages = [{include = "polus", from = "src"}]

[tool.poetry.dependencies]
python = ">=3.9,<3.12"
bfio = { version = "^2.3.3", extras = ["all"] }
filepattern = "^2.0.4"
typer = { version = "^0.7.0", extras = ["all"] }
numpy = "^1.24.3"
tqdm = "^4.65.0"
preadator = "0.4.0-dev2"

[tool.poetry.group.dev.dependencies]
bump2version = "^1.0.1"
pre-commit = "^3.0.4"
pytest = "^7.2.1"
pytest-sugar = "^0.9.6"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

[tool.pytest.ini_options]
pythonpath = [
"."
]
29 changes: 29 additions & 0 deletions transforms/images/apply-flatfield-plugin/run-plugin.sh
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#!/bin/bash

version=$(<VERSION)
datapath=$(readlink --canonicalize ./data)
echo ${datapath}

# Inputs
imgDir="/data/images"
imgPattern="p{p:d+}_x{x:d+}_y{y:d+}_wx{r:d+}_wy{z:d+}_c{c:d+}.ome.tif"
ffDir="/data/estimation"
ffPattern="p{p:d+}_x\\(01-24\\)_y\\(01-16\\)_wx\\(1-3\\)_wy\\(1-3\\)_c{c:d+}_flatfield.ome.tif"
dfPattern="p{p:d+}_x\\(01-24\\)_y\(01-16\\)_wx\\(1-3\\)_wy\\(1-3\\)_c{c:d+}_darkfield.ome.tif"
# photoPattern=""

# Output paths
outDir=/data/outputs

POLUS_IMG_EXT=".ome.zarr"

docker run --mount type=bind,source=${datapath},target=/data/ \
-e POLUS_IMG_EXT=${POLUS_IMG_EXT} \
--user $(id -u):$(id -g) \
polusai/apply-flatfield-plugin:${version} \
--imgDir ${imgDir} \
--imgPattern ${imgPattern} \
--ffDir ${ffDir} \
--ffPattern ${ffPattern} \
--ffPattern ${dfPattern} \
--outDir ${outDir}
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"""Provides the apply_flatfield module."""

from . import utils
from .apply_flatfield import apply

__version__ = "2.0.0-dev9"
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"""Provides the CLI for the Apply Flatfield plugin."""

import json
import logging
import pathlib
import typing

import typer
from polus.plugins.transforms.images.apply_flatfield import apply
from polus.plugins.transforms.images.apply_flatfield import utils

# Initialize the logger
logging.basicConfig(
format="%(asctime)s - %(name)-8s - %(levelname)-8s - %(message)s",
datefmt="%d-%b-%y %H:%M:%S",
)
logger = logging.getLogger("polus.plugins.transforms.images.apply_flatfield")
logger.setLevel(utils.POLUS_LOG)

app = typer.Typer()


@app.command()
def main( # noqa: PLR0913
img_dir: pathlib.Path = typer.Option(
...,
"--imgDir",
help="Path to input images.",
exists=True,
readable=True,
resolve_path=True,
file_okay=False,
),
img_pattern: str = typer.Option(
...,
"--imgPattern",
help="Filename pattern used to select images from imgDir.",
),
ff_dir: pathlib.Path = typer.Option(
...,
"--ffDir",
help="Path to flatfield (and optionally darkfield) images.",
exists=True,
readable=True,
resolve_path=True,
file_okay=False,
),
ff_pattern: str = typer.Option(
...,
"--ffPattern",
help="Filename pattern used to select flatfield components from ffDir.",
),
df_pattern: typing.Optional[str] = typer.Option(
None,
"--dfPattern",
help="Filename pattern used to select darkfield components from ffDir.",
),
out_dir: pathlib.Path = typer.Option(
...,
"--outDir",
help="Path to output directory.",
exists=True,
writable=True,
resolve_path=True,
file_okay=False,
),
preview: bool = typer.Option(
False,
"--preview",
help="Preview the output without saving.",
),
) -> None:
"""CLI for the Apply Flatfield plugin.

The variables used in ffPattern and dfPattern must be a subset of those used
in imgPattern.

If dfPattern is not specified, then darkfield correction will not be
applied.
"""
logger.info("Starting Apply Flatfield plugin ...")

logger.info(f"imgDir = {img_dir}")
logger.info(f"imgPattern = {img_pattern}")
logger.info(f"ffDir = {ff_dir}")
logger.info(f"ffPattern = {ff_pattern}")
logger.info(f"dfPattern = {df_pattern}")
logger.info(f"outDir = {out_dir}")
logger.info(f"preview = {preview}")

out_files = apply(
img_dir=img_dir,
img_pattern=img_pattern,
ff_dir=ff_dir,
ff_pattern=ff_pattern,
df_pattern=df_pattern,
out_dir=out_dir,
preview=preview,
)

if preview:
with out_dir.joinpath("preview.json").open("w") as writer:
out_dict = {"files": [p.name for p in out_files]}
json.dump(out_dict, writer, indent=2)


if __name__ == "__main__":
app()
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