Changes in version 1.20.0                        

Bug fixes

  - In the shinyFlow app, include.area now defaults to FALSE

                       Changes in version 1.16.0                        

Other notes

  - The project website based on pkgdown has been created and published
    on GitHub
  - Added a NEWS.md file to track changes to the package.

                       Changes in version 1.15.2                        

New features

  - Initial submit to Bioconductor.

                       Changes in version 1.14.0                        

New features

  - the engine for plotting the trajectories is now based on plotly,
    abandoning the older rgl-based solution

Other notes

  - vignette: now also based on Rmarkdown, leaving the older Rnw-pdf be
  - shortened example lines for better documentation
  - better definition of import statements for better behaviour with
    other packages
  - updated travis.yml for current setup

                        Changes in version 1.4.0                        

New features

  - added details in the vignette on the dockerflow proposal, where
    flowcatchR is made available in preconfigured Docker containers

Bug fixes

  - penaltyFunctionGenerator: simmetric penalty function is now
    correctly computed

Other notes

  - added LazyData: true in the DESCRIPTION
  - updated travis.yml to use native R integration
  - vignette: improved structure, to enhance readability and usability;
    removed rgl hook which was not used anyway
  - documentation: slight updates and enhancements

                        Changes in version 1.2.0                        

New features

  - addTrajectory: changed implementation in the addTrajectory function,
    notable gain in computing time
  - particles: implementation of particles() now used BiocParallel -
    massive gain in performances!
  - snap() function to allow interaction of the user with the image, to
    display additional information on the trajectories identified on the
    Frames/ParticleSet
  - shinyFlow() released! A Shiny App is delivered along with the
    package, documentation is available to guide exploration of data and
    parameters
  - Jupyter/IPython notebooks available in the installed folder of the
    package - provided as template for further analysis
  - Vignette: updated to reflect the current implementation and newest
    features
  - preprocess.Frames: extended documentation
  - BiocViews: added a couple of terms that fit better with current
    status of the package
  - Added url for development version on github. Active development is
    performed there, therefore feel free to send pull requests/feature
    wishes (https://github.com/federicomarini/flowcatchR/issues)!
  - Added integration of the repository with Travis-CI
  - add.contours: if image is in grayscale, use false colours to enhance
    detected particles
  - plot2d.TrajectorySet is now able to draw a grid and help
    backtracking points from the trajectories

Bug fixes

  - select.Frames: fixed behaviour in select.Frames when selecting a
    single frame
  - add.contours: corrected bug in add.contours for grayscale images,
    was preventing correct combining of images. now uses correctly false
    colours and aids identification
  - particles: for computing particles,added check whether dimnames is
    set or not. previously it raised an error, but it was kind of
    overkilling
  - fixed behaviour in export.Frames
  - typos fixed
  - Vignette: fixed typos, fixed parameter names in the preprocessing
    steps
  - read.Frames: additional check on the existence of all files
  - Grayscale images can now be directly preprocessed by selecting
    channel = "all"

                        Changes in version 1.0.3                        

New features

  - addTrajectory: changed implementation in the addTrajectory function,
    notable gain in computing time
  - particles: implementation of particles() now used BiocParallel -
    massive gain in performances!
  - snap() function to allow interaction of the user with the image, to
    display additional information on the trajectories identified on the
    Frames/ParticleSet
  - shinyFlow() released! A Shiny App is delivered along with the
    package, documentation is available to guide exploration of data and
    parameters
  - Jupyter/IPython notebooks available in the installed folder of the
    package - provided as template for further analysis
  - Vignette: updated to reflect the current implementation and newest
    features
  - preprocess.Frames: extended documentation
  - BiocViews: added a couple of terms that fit better with current
    status of the package

                        Changes in version 1.0.2                        

Bug fixes

  - select.Frames: fixed behaviour in select.Frames when selecting a
    single frame
  - add.contours: corrected bug in add.contours for grayscale images,
    was preventing correct combining of images. now uses correctly false
    colours and aids identification
  - particles: for computing particles,added check whether dimnames is
    set or not. previously it raised an error, but it was kind of
    overkilling
  - fixed behaviour in export.Frames
  - typos fixed

                        Changes in version 1.0.1                        

New features

  - Added url for development version on github. Active development is
    performed there, therefore feel free to send pull requests/feature
    wishes (https://github.com/federicomarini/flowcatchR/issues)!
  - Added integration of the repository with Travis-CI
  - add.contours: if image is in grayscale, use false colours to enhance
    detected particles
  - plot2d.TrajectorySet is now able to draw a grid and help
    backtracking points from the trajectories

Bug fixes

  - Vignette: fixed typos, fixed parameter names in the preprocessing
    steps
  - read.Frames: additional check on the existence of all files
  - Grayscale images can now be directly preprocessed by selecting
    channel = "all"

Other notes

                        Changes in version 1.0.0                        

New features

  - Initial release to Bioconductor!

                       Changes in version 0.99.4                        

New features

  - Final fixes. Accepted in the current status at Bioconductor.

                       Changes in version 0.99.3                        

New features

  - Changes in the code to be adapted to the latest devel version of
    EBImage (new functions were added for the Frames class).

                       Changes in version 0.99.2                        

New features

  - Updated/added documentation.

                       Changes in version 0.99.1                        

New features

  - Adapted after first round of review.