CHANGES IN VERSION 1.4.0 -------------------------------------- NEW FEATURES o added details in the vignette on the dockerflow proposal, where flowcatchR is made available in preconfigured Docker containers BUG FIXES o penaltyFunctionGenerator: simmetric penalty function is now correctly computed OTHER NOTES o added LazyData: true in the DESCRIPTION o updated travis.yml to use native R integration o vignette: improved structure, to enhance readability and usability; removed rgl hook which was not used anyway o documentation: slight updates and enhancements CHANGES IN VERSION 1.2.0 -------------------------------------- NEW FEATURES o addTrajectory: changed implementation in the addTrajectory function, notable gain in computing time o particles: implementation of particles() now used BiocParallel - massive gain in performances! o snap() function to allow interaction of the user with the image, to display additional information on the trajectories identified on the Frames/ParticleSet o shinyFlow() released! A Shiny App is delivered along with the package, documentation is available to guide exploration of data and parameters o Jupyter/IPython notebooks available in the installed folder of the package - provided as template for further analysis o Vignette: updated to reflect the current implementation and newest features o preprocess.Frames: extended documentation o BiocViews: added a couple of terms that fit better with current status of the package o 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)! o Added integration of the repository with Travis-CI o add.contours: if image is in grayscale, use false colours to enhance detected particles o plot2d.TrajectorySet is now able to draw a grid and help backtracking points from the trajectories BUG FIXES o select.Frames: fixed behaviour in select.Frames when selecting a single frame o add.contours: corrected bug in add.contours for grayscale images, was preventing correct combining of images. now uses correctly false colours and aids identification o particles: for computing particles,added check whether dimnames is set or not. previously it raised an error, but it was kind of overkilling o fixed behaviour in export.Frames o typos fixed o Vignette: fixed typos, fixed parameter names in the preprocessing steps o read.Frames: additional check on the existence of all files o Grayscale images can now be directly preprocessed by selecting channel = "all" CHANGES IN VERSION 1.0.3 (2015-02-03) -------------------------------------- NEW FEATURES o addTrajectory: changed implementation in the addTrajectory function, notable gain in computing time o particles: implementation of particles() now used BiocParallel - massive gain in performances! o snap() function to allow interaction of the user with the image, to display additional information on the trajectories identified on the Frames/ParticleSet o shinyFlow() released! A Shiny App is delivered along with the package, documentation is available to guide exploration of data and parameters o Jupyter/IPython notebooks available in the installed folder of the package - provided as template for further analysis o Vignette: updated to reflect the current implementation and newest features o preprocess.Frames: extended documentation o BiocViews: added a couple of terms that fit better with current status of the package CHANGES IN VERSION 1.0.2 (2015-01-09) -------------------------------------- BUG FIXES o select.Frames: fixed behaviour in select.Frames when selecting a single frame o add.contours: corrected bug in add.contours for grayscale images, was preventing correct combining of images. now uses correctly false colours and aids identification o particles: for computing particles,added check whether dimnames is set or not. previously it raised an error, but it was kind of overkilling o fixed behaviour in export.Frames o typos fixed CHANGES IN VERSION 1.0.1 (2014-11-21) -------------------------------------- BUG FIXES o Vignette: fixed typos, fixed parameter names in the preprocessing steps o read.Frames: additional check on the existence of all files o Grayscale images can now be directly preprocessed by selecting channel = "all" NEW FEATURES o 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)! o Added integration of the repository with Travis-CI o add.contours: if image is in grayscale, use false colours to enhance detected particles o plot2d.TrajectorySet is now able to draw a grid and help backtracking points from the trajectories CHANGES IN VERSION 1.0.0 (2014-10-13) -------------------------------------- NEW FEATURES o Initial release to Bioconductor! CHANGES IN VERSION 0.99.4 (2014-10-03) -------------------------------------- NEW FEATURES o Final fixes. Accepted in the current status at Bioconductor. CHANGES IN VERSION 0.99.3 ------------------------- NEW FEATURES o 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 o Updated/added documentation. CHANGES IN VERSION 0.99.1 ------------------------- NEW FEATURES o Adapted after first round of review. CHANGES IN VERSION 0.99.0 ------------------------- NEW FEATURES o Initial submit to Bioconductor.