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13 changes: 13 additions & 0 deletions .github/codecov.yml
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coverage:
precision: 0
round: nearest
range:
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# notification blocks
# https://docs.codecov.io/docs/codecovyml-reference#section-coverage-notify
# notify:
# status:
# project:
# patch:
# changes: off
112 changes: 84 additions & 28 deletions CHANGELOG.md
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Expand Up @@ -9,6 +9,9 @@ detailed information, please refer to the updated API documentation.

### Added

* `imcflibs.strtools.pad_number` to pad a number with leading zeros.
* `imcflibs.pathtools.create_directory` to create a new directory at the
specified path if it does not exist (needed with python 2.7)
* Various additions to `imcflibs.imagej.misc`:
* `imcflibs.imagej.misc.send_notification_email` to send email notifications
upon completion of long-running scripts.
Expand All @@ -23,45 +26,56 @@ detailed information, please refer to the updated API documentation.
* `imcflibs.imagej.misc.sanitize_image_title` to remove special chars and
various suffixes from an ImagePlus.
* `imcflibs.imagej.misc.subtract_images` to subtract an image from another.
* `imcflibs.imagej.misc.close_images` for closing selected image windows.
* `imcflibs.imagej.misc.close_images` for closing all ImagePluses from a list.
* `imcflibs.imagej.misc.get_threshold_value_from_method` to get the value that
a selected AutoThreshold method would be using.
* `imcflibs.imagej.misc.write_orderddict_to_csv` to write data from an ordered
dictionary to a CSV file.
* `imcflibs.imagej.labelimage.binary_to_label` for segmenting a binary image to
get a label image (2D/3D).
* `imcflibs.imagej.misc.save_image_in_format` to save an ImagePlus image in a
specified format, such as ImageJ-TIF or OME-TIFF etc., to a given directory.
* `imcflibs.imagej.misc.run_imarisconvert` to convert a given file to Imaris
format using the utility ImarisConvert. Method uses
`imcflibs.imagej.misc.locate_latest_imaris` to find the path to the Imaris
installation.

* `imcflibs.imagej.misc.write_ordereddict_to_csv` to write data from an
ordered dictionary (or list of ordered dictionaries) to a CSV file.
* `imcflibs.imagej.misc.save_image_in_format` to save an ImagePlus in a
specified format, such as ImageJ-TIF or OME-TIFF etc., to a given directory.
* `imcflibs.imagej.misc.run_imarisconvert` to convert a given file to Imaris
format using the utility ImarisConvert. Method uses
`imcflibs.imagej.misc.locate_latest_imaris` to find the path to the Imaris
installation.
* New functions in `imcflibs.imagej.labelimage`:
* `imcflibs.imagej.labelimage.cookie_cut_labels` to use a label image as a
mask for another label image. Objects might get split or merged depending on
the mask.
* `imcflibs.imagej.labelimage.binary_to_label` for segmenting a binary image
to get a label image (2D/3D).
* `imcflibs.imagej.labelimage.relate_label_images` to relate two label images
(2D/3D) using the 3D Association plugin from the 3DImageJSuite.
* `imcflibs.imagej.labelimage.dilate_labels_2d` to dilate a label image slice
by slice. Works for 2D or 3D images.
* New `imcflibs.imagej.objects3d` submodule, providing:
* `imcflibs.imagej.objects3d.population3d_to_imgplus` to turn
an Objects3DPopulation into an ImagePlus (2D/3D).
* `imcflibs.imagej.objects3d.population3d_to_imgplus` to turn an
Objects3DPopulation into an ImagePlus (2D/3D).
* `imcflibs.imagej.objects3d.imgplus_to_population3d` to get the
Objects3DPopulation from an ImagePlus (2D/3D).
* `imcflibs.imagej.objects3d.segment_3d_image` to threshold an image into a
labeled stack.
* `imcflibs.imagej.objects3d.get_objects_within_intensity` to filter a
population of 3D objects by intensity.
* `imcflibs.imagej.objects3d.maxima_finder_3d` to find local maxima in a
3D image.
* `imcflibs.imagej.objects3d.seeded_watershed` to perform a seeded watershed
segmentation on a binary image using seeds points.
* New `imcflibs.imagej.bdv` submodule, providing BigDataViewer related
functions:
* New classes:
* `ProcessingOptions` to store all options on how to process the dataset.
* `DefinitionOptions` to store all options on how to define the dataset.
* `imcflibs.imagej.bdv.check_processing_input` to sanitize and clarify
the acitt input selection.
* `imcflibs.imagej.bdv.get_processing_settings` to generate the strings
needed for the processing.
* `imcflibs.imagej.bdv.check_processing_input` to sanitize and clarify the
acitt input selection.
* `imcflibs.imagej.bdv.get_processing_settings` to generate the strings needed
for the processing.
* `imcflibs.imagej.bdv.backup_xml_files` to create a backup of BDV-XML files.
* `imcflibs.imagej.bdv.define_dataset_auto` to run "Define Multi-View Dataset"
using the "Auto-Loader" option.
* `imcflibs.imagej.bdv.define_dataset_manual` to run "Define Multi-View
Dataset" using the "Manual Loader" option.
* `imcflibs.imagej.bdv.resave_as_h5` to resave the dataset in H5 to
make it compatible with BigDataViewer/BigStitcher.
* `imcflibs.imagej.bdv.resave_as_h5` to resave the dataset in H5 to make it
compatible with BigDataViewer/BigStitcher.
* `imcflibs.imagej.bdv.flip_axes` tocall BigStitcher's "Flip Axes" command.
* `imcflibs.imagej.bdv.phase_correlation_pairwise_shifts_calculation` to
calculate pairwise shifts using Phase Correlation.
Expand All @@ -77,14 +91,56 @@ detailed information, please refer to the updated API documentation.
propagating transformation parameters to other channels.
* `imcflibs.imagej.bdv.fuse_dataset` to call BigStitcher's "Fuse Multi-View
Dataset" command.
* New `imcflibs.imagej.trackmate` submodule to provide helper functions to interface with Trackmate:
* Multiple functions to set up Trackmate settings with different detectors, such as `cellpose`, `StarDist` or a `sparseLAP tracker`.
* `imcflibs.imagej.trackmate.spot_filtering` to create settings to filter detected spots based on optional thresholds for quality, area, circularity & intensity.
* `imcflibs.imagej.trackmate.track_filtering` to create settings to filter detected tracks based upon optional distances, such as maximum linking, gap closing, track splitting & merging and maximum frame gap.
* `imcflibs.imagej.trackmate.run_trackmate` to run Fiji's Trackmate plugin on an open ImagePlus with given settings, which can be set up with available methods in the `imcflibs.imagej.trackmate` submodule. The method then returns a label image.
* New `imcflibs.imagej.omerotools` submodule, providing helper functions to connect to OMERO using user credentials, fetch and upload an image, retrieve a dataset, or save ROIs to OMERO.

* `imcflibs.pathtools.create_directory` to create a new directory at the specified path.
* New `imcflibs.imagej.trackmate` submodule to provide helper functions to
interface with Trackmate:
* Multiple functions to set up Trackmate settings with different detectors,
such as `cellpose`, `StarDist` or a `log detector`.
* `imcflibs.imagej.trackmate.spot_filtering` to create settings to filter
detected spots based on optional thresholds for quality, area, circularity &
intensity.
* `imcflibs.imagej.trackmate.sparse_lap_tracker` to create default settings
for the sparse LAP tracker.
* `imcflibs.imagej.trackmate.track_filtering` to create settings to filter
detected tracks based upon optional distances, such as maximum linking, gap
closing, track splitting & merging and maximum frame gap.
* `imcflibs.imagej.trackmate.run_trackmate` to run Fiji's Trackmate plugin on
an open ImagePlus with given settings, which can be set up with available
methods in the `imcflibs.imagej.trackmate` submodule. The method then
returns a label image.
* New `imcflibs.imagej.omerotools` submodule, providing helper functions to
connect to OMERO using user credentials, fetch and upload an image, retrieve a
dataset, or save ROIs to OMERO.
* `imcflibs.imagej.omerotools.parse_url` to parse the OMERO URL and get a list
of `ImageWrappers` from multiple image or datasets IDs.
* `imcflibs.imagej.omerotools.connect` to connect to OMERO using user
credentials.
* `imcflibs.imagej.omerotools.fetch_image` to fetch an image from OMERO using
the image ID.
* `imcflibs.imagej.omerotools.upload_image_to_omero` to upload a local image
to OMERO and returning the new image ID.
* `imcflibs.imagej.omerotools.add_keyvalue_annotation` to add an annotation to
an OMERO object.
* `imcflibs.imagej.omerotools.delete_keyvalue_annotations` to delete
annotations from an OMERO object.
* `imcflibs.imagej.omerotools.find_dataset` to find a dataset in OMERO using
the dataset ID.
* `imcflibs.imagej.get_acquisition_metadata` to get the acquisition metadata
from an image in OMERO.
* `imcflibs.imagej.omerotools.get_info_from_original_metadata` to get the
original metadata from an image in OMERO.
* `imcflibs.imagej.omerotools.create_table_columns` to create OMERO table
headings from a list of column names.
* `imcflibs.imagej.omerotools.upload_array_as_omero_table` to upload a table
to OMERO.
* `imcflibs.imagej.omerotools.save_rois_to_omero` to save ROIs to OMERO.
* New `imcflibs.imagej.shading` module for everything background correction.
* `imcflibs.imagej.shading.simple_flatfield_correction` to perform a
simple flatfield correction to an ImagePlus.
* `imcflibs.imagej.projection.project_stack` to project a stack using
different projection methods, such as `max`, `min`, `mean`, `sum` or
`standard_deviation` using a defined axis.
* `imcflibs.imagej.prefs.set_default_ij_options` to configure ImageJ default
options for consistency.

## 1.4.0

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