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jupyter books docs
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name: deploy docs | ||
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on: | ||
workflow_dispatch: | ||
push: | ||
branches: | ||
- main | ||
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jobs: | ||
build-and-deploy-book: | ||
runs-on: ubuntu-latest | ||
steps: | ||
- uses: actions/checkout@v2 | ||
- uses: actions/setup-python@v2 | ||
with: | ||
python-version: 3.8 | ||
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- name: Install dependencies | ||
run: | | ||
pip install -e . | ||
pip install -r docs/requirements.txt | ||
- name: Build the book | ||
run: | | ||
jupyter-book build docs | ||
- name: GitHub Pages action | ||
uses: peaceiris/actions-gh-pages@v3 | ||
with: | ||
github_token: ${{ secrets.GITHUB_TOKEN }} | ||
publish_dir: docs/_build/html |
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title: pycudadecon | ||
author: Talley Lambert | ||
copyright: "2021" | ||
email: talley.lambert@gmail.com | ||
logo: logo.png | ||
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# Force re-execution of notebooks on each build. | ||
# See https://jupyterbook.org/content/execute.html | ||
execute: | ||
execute_notebooks: force | ||
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latex: | ||
latex_documents: | ||
targetname: book.tex | ||
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bibtex_bibfiles: | ||
- references.bib | ||
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repository: | ||
url: https://github.com/tlambert03/pycudadecon | ||
path_to_book: docs | ||
branch: master | ||
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# Add GitHub buttons to your book | ||
# See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository | ||
html: | ||
use_issues_button: true | ||
use_repository_button: true | ||
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sphinx: | ||
extra_extensions: | ||
- sphinx.ext.viewcode | ||
- sphinx.ext.napoleon | ||
- sphinx.ext.autodoc | ||
- sphinx_autodoc_typehints | ||
- sphinx.ext.autosummary | ||
config: | ||
# set_type_checking_flag: True # don't yet know how to add to path with jupyter-book | ||
autosummary_generate: True | ||
autosummary_imported_members: True | ||
autodoc_default_options: | ||
special-members: False | ||
undoc-members: True | ||
show-inheritance: True | ||
html_theme: furo | ||
intersphinx_mapping: | ||
python: | ||
- "https://docs.python.org/3" | ||
- null | ||
napari: | ||
- "https://napari.org/docs/dev/" | ||
- null | ||
pygments_style: "material" |
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# Table of content | ||
# Learn more at https://jupyterbook.org/customize/toc.html | ||
# | ||
- file: index | ||
- file: installation | ||
- file: deconvolution | ||
- file: otf | ||
- file: affine | ||
- file: cli | ||
- title: Source Code | ||
url: https://github.com/tlambert03/pycudadecon |
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# Affine Transformations | ||
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## API | ||
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```{eval-rst} | ||
.. automodule:: pycudadecon | ||
:members: deskewGPU, rotateGPU, affineGPU | ||
``` |
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# Command Line Interface | ||
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If you installed `pycudadecon` using conda, the original binaries for OTF | ||
generation (`radialft`) and deconvolution (`cudaDeconv`) will also be | ||
installed in your conda environment. | ||
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## cudaDeconv | ||
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The `cudaDeconv` command runs deconvolution (with deskewing and rotation if | ||
desired) on all of the files in the `--input-dir` whose names match the | ||
pattern `--filename-pattern`, using the OTF specified by `--otf-arg`. | ||
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### Examples | ||
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```bash | ||
# deconvolve a folder of images | ||
cudaDeconv /folder/of/images 488nm /path/to/488nm_otf.tif -z 0.3 | ||
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# a typical lattice experiment might also add the deskew flag and maybe MIPs | ||
cudaDeconv /folder/of/images 488nm /path/to/488nm_otf.tif -z 0.3 -D 31.5 -M 0 0 1 | ||
``` | ||
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Run `cudaDeconv --help` at the command prompt for the full menu of options | ||
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```text | ||
$ cudaDeconv -h | ||
cudaDeconv compiled for LLSpy. Version: 0.4.0 | ||
--input-dir arg Folder of input images | ||
--filename-pattern arg File name pattern to find input images | ||
to process | ||
--otf-file arg OTF file | ||
--drdata arg (=0.104) Image x-y pixel size (um) | ||
-z [ --dzdata ] arg (=0.25) Image z step (um) | ||
--drpsf arg (=0.104) PSF x-y pixel size (um) | ||
-Z [ --dzpsf ] arg (=0.1) PSF z step (um) | ||
-l [ --wavelength ] arg (=0.525) Emission wavelength (um) | ||
-W [ --wiener ] arg (=-1) Wiener constant (regularization | ||
factor); if this value is postive then | ||
do Wiener filter instead of R-L | ||
-b [ --background ] arg (=90) User-supplied background | ||
-e [ --napodize ] arg (=15) # of pixels to soften edge with | ||
-E [ --nzblend ] arg (=0) # of top and bottom sections to blend | ||
in to reduce axial ringing | ||
-d [ --dupRevStack ] Duplicate reversed stack prior to decon | ||
to reduce Z ringing | ||
-n [ --NA ] arg (=1.2) Numerical aperture | ||
-i [ --RL ] arg (=15) Run Richardson-Lucy, and set how many | ||
iterations | ||
-D [ --deskew ] arg (=0) Deskew angle; if not 0.0 then perform | ||
deskewing before deconv | ||
--padval arg (=0) Value to pad image with when deskewing | ||
-w [ --width ] arg (=0) If deskewed, the output image's width | ||
-x [ --shift ] arg (=0) If deskewed, the output image's extra | ||
shift in X (positive->left | ||
-R [ --rotate ] arg (=0) Rotation angle; if not 0.0 then perform | ||
rotation around y axis after deconv | ||
-S [ --saveDeskewedRaw ] Save deskewed raw data to files | ||
-C [ --crop ] arg Crop final image size to [x1:x2, y1:y2, | ||
z1:z2]; takes 6 integers separated by | ||
space: x1 x2 y1 y2 z1 z2; | ||
-M [ --MIP ] arg Save max-intensity projection along x, | ||
y, or z axis; takes 3 binary numbers | ||
separated by space: 0 0 1 | ||
-m [ --rMIP ] arg Save max-intensity projection of raw | ||
deskewed data along x, y, or z axis; | ||
takes 3 binary numbers separated by | ||
space: 0 0 1 | ||
-u [ --uint16 ] Save result in uint16 format; should be | ||
used only if no actual decon is | ||
performed | ||
-a [ --DoNotAdjustResForFFT ] Don't change data resolution size. | ||
Otherwise data is cropped to perform | ||
faster, more memory efficient FFT: size | ||
factorable into 2,3,5,7) | ||
--Pad arg (=0) Pad the image data with mirrored values | ||
to avoid edge artifacts. Currently only | ||
enabled when rotate and deskew are | ||
zero. | ||
--LSC arg Lightsheet correction file | ||
--FlatStart Start the RL from a guess that is a | ||
flat image filled with the median image | ||
value. This may supress noise. | ||
-p [ --bleachCorrection ] Apply bleach correction when running | ||
multiple images in a single batch | ||
--lzw Use LZW tiff compression | ||
--skip arg (=0) Skip the first 'skip' number of files. | ||
--no_overwrite Don't reprocess files that are already | ||
deconvolved (i.e. exist in the GPUdecon | ||
folder). | ||
-Q [ --DevQuery ] Show info and indices of available GPUs | ||
-h [ --help ] This help message. | ||
-v [ --version ] show version and quit | ||
``` | ||
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## radialft | ||
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The `radialft` command turns a 3D PSF volume into a radially-averaged 2D | ||
complex OTF file that can be used by cudaDeconv. | ||
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### Examples | ||
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```bash | ||
radialft /path/to/psf_file.tif /path/to/new_otf_file.tif --fixorigin 10 --nocleanup | ||
``` | ||
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Run `radialft --help` at the command prompt for the full menu of options | ||
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```text | ||
$ radialft --help | ||
--input-file arg input PSF file | ||
--output-file arg output OTF file to write | ||
--na arg (=1.25) NA of detection objective | ||
--nimm arg (=1.29999995) refractive index of immersion medium | ||
--xyres arg (=0.104000002) x-y pixel size | ||
--zres arg (=0.104000002) z pixel size | ||
--wavelength arg (=530) emission wavelength in nm | ||
--fixorigin arg (=5) for all kz, extrapolate using pixels kr=1 to this | ||
pixel to get value for kr=0 | ||
--krmax arg (=0) pixels outside this limit will be zeroed | ||
(overwriting estimated value from NA and NIMM) | ||
--nocleanup elect not to do clean-up outside OTF support | ||
--background arg use user-supplied background instead of the | ||
estimated | ||
-h [ --help ] produce help message | ||
``` |
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