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CHANGELOG.md

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# Changelog 🧾
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<!-- markdownlint-disable MD024 (no-duplicate-header) -->
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<!-- markdownlint-configure-file { "emphasis-style": { "style": "asterisk" } } -->
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# Changelog 🧾
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## 1.5.0
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@@ -29,13 +30,13 @@ API documentation][apidocs].
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* `imcflibs.imagej.misc.subtract_images` to subtract an image from another.
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* `imcflibs.imagej.misc.close_images` for closing all ImagePluses from a list.
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* `imcflibs.imagej.misc.get_threshold_value_from_method` to get the value that a
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selected _AutoThreshold_ method would be using.
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selected *AutoThreshold* method would be using.
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* `imcflibs.imagej.misc.write_ordereddict_to_csv` to write data from an ordered
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dictionary (or list of ordered dictionaries) to a CSV file.
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* `imcflibs.imagej.misc.save_image_in_format` to save an ImagePlus in a
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specified format, such as `ImageJ-TIF` or `OME-TIFF` etc.
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* `imcflibs.imagej.misc.run_imarisconvert` to convert a given file to Imaris
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format using the utility _ImarisConvert_. The function uses
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format using the utility *ImarisConvert*. The function uses
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`imcflibs.imagej.misc.locate_latest_imaris` to find the path to the most
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recent Imaris installation.
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* `imcflibs.imagej.labelimage.binary_to_label` for segmenting a binary image to
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get a label image (2D/3D).
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* `imcflibs.imagej.labelimage.relate_label_images` to relate two label images
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(2D/3D) using the _3D Association_ plugin from the 3DImageJSuite.
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(2D/3D) using the *3D Association* plugin from the 3DImageJSuite.
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* `imcflibs.imagej.labelimage.dilate_labels_2d` to dilate a label image slice by
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slice. Works for 2D or 3D images.
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#### New submodule `imcflibs.imagej.objects3d`
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* `imcflibs.imagej.objects3d.population3d_to_imgplus` to turn an
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_Objects3DPopulation_ into an ImagePlus (2D/3D).
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*Objects3DPopulation* into an ImagePlus (2D/3D).
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* `imcflibs.imagej.objects3d.imgplus_to_population3d` to get the
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_Objects3DPopulation_ from an ImagePlus (2D/3D).
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*Objects3DPopulation* from an ImagePlus (2D/3D).
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* `imcflibs.imagej.objects3d.segment_3d_image` to threshold an image into a
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labeled stack.
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* `imcflibs.imagej.objects3d.get_objects_within_intensity` to filter a
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#### New submodule `imcflibs.imagej.bdv`
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Providing _BigDataViewer_ related functionality.
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Providing *BigDataViewer* related functionality.
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* Option configuration classes:
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* `imcflibs.imagej.bdv.ProcessingOptions` to configure the options on how the
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* `imcflibs.imagej.bdv.get_processing_settings` to generate the strings needed
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for the processing.
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* `imcflibs.imagej.bdv.backup_xml_files` to create a backup of BDV-XML files.
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* `imcflibs.imagej.bdv.define_dataset_auto` to run "_Define Multi-View Dataset_"
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using the "_Auto-Loader_" option.
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* `imcflibs.imagej.bdv.define_dataset_manual` to run "_Define Multi-View
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Dataset_" using the "_Manual Loader_" option.
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* `imcflibs.imagej.bdv.define_dataset_auto` to run "*Define Multi-View Dataset*"
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using the "*Auto-Loader*" option.
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* `imcflibs.imagej.bdv.define_dataset_manual` to run "*Define Multi-View
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Dataset*" using the "*Manual Loader*" option.
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* `imcflibs.imagej.bdv.resave_as_h5` to resave the dataset in H5 to make it
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compatible with BigDataViewer/BigStitcher.
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* `imcflibs.imagej.bdv.flip_axes` to call BigStitcher's "_Flip Axes_" command.
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* `imcflibs.imagej.bdv.flip_axes` to call BigStitcher's "*Flip Axes*" command.
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* `imcflibs.imagej.bdv.phase_correlation_pairwise_shifts_calculation` to
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calculate pairwise shifts using Phase Correlation.
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* `imcflibs.imagej.bdv.filter_pairwise_shifts` for filtering pairwise shifts
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based on different thresholds.
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* `imcflibs.imagej.bdv.optimize_and_apply_shifts` to optimize shifts and apply
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them to a dataset.
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* `imcflibs.imagej.bdv.detect_interest_points` for running the "_Detect Interest
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Points_" command for registration.
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* `imcflibs.imagej.bdv.interest_points_registration` to run the "_Register
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Dataset based on Interest Points_" command.
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* `imcflibs.imagej.bdv.detect_interest_points` for running the "*Detect Interest
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Points*" command for registration.
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* `imcflibs.imagej.bdv.interest_points_registration` to run the "*Register
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Dataset based on Interest Points*" command.
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* `imcflibs.imagej.bdv.duplicate_transformations` for duplicating / propagating
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transformation parameters to other channels.
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* `imcflibs.imagej.bdv.fuse_dataset` to call BigStitcher's "_Fuse Multi-View
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Dataset_" command.
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* `imcflibs.imagej.bdv.fuse_dataset` to call BigStitcher's "*Fuse Multi-View
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Dataset*" command.
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#### New submodule `imcflibs.imagej.trackmate`
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Providing helper functions to interface with _Trackmate_.
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Providing helper functions to interface with *Trackmate*.
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* Multiple functions to set up Trackmate settings with different detectors:
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* `imcflibs.imagej.trackmate.cellpose_detector`
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#### New submodule `imcflibs.imagej.omerotools`
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Providing helper functions to connect to _OMERO_ using user credentials, fetch
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Providing helper functions to connect to *OMERO* using user credentials, fetch
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and upload images, retrieve datasets or save ROIs to OMERO.
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* `imcflibs.imagej.omerotools.parse_url` to parse the OMERO URL and get a list
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annotations from an OMERO object.
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* `imcflibs.imagej.omerotools.find_dataset` to find a dataset in OMERO using the
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dataset ID.
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* `imcflibs.imagej.omerotools.get_acquisition_metadata` to get the acquisition metadata
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from an image in OMERO.
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* `imcflibs.imagej.omerotools.get_acquisition_metadata` to get the acquisition
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metadata from an image in OMERO.
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* `imcflibs.imagej.omerotools.get_info_from_original_metadata` to get the
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original metadata from an image in OMERO.
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* `imcflibs.imagej.omerotools.create_table_columns` to create OMERO table
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* The functions below now also accept parameters of type `java.io.File` (instead
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of `str`), making them safe for being used directly with variables retrieved
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via ImageJ2's _Script Parameter_ `@# File`:
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via ImageJ2's *Script Parameter* `@# File`:
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* `imcflibs.pathtools.parse_path`
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* `imcflibs.strtools.filename`
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* Several changes in `imcflibs.pathtools.parse_path`:

pom.xml

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<groupId>ch.unibas.biozentrum.imcf</groupId>
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<artifactId>python-imcflibs</artifactId>
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<version>1.5.0-SNAPSHOT</version>
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<version>1.5.1.a26-SNAPSHOT</version>
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<name>python-imcflibs</name>
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<description>

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