Menu Bar

Creates a new session (see Starting New Sessions).

Opens the Save As dialog, in which you can save the active session under a different name or to a particular location (see Saving Sessions).

Opens the Organizer, which provides an easy way to organize, manage, and share your data (see Organizer).

Opens the DICOM Loader, which lets you import images saved in the DICOM file format (see Using the DICOM Loader).

Lets you import a graph that was exported in the comma-separated values (*.csv extension) file format from the Graph Analysis tool.

Opens the Import Object(s) dialog, in which you can select an ORSObject (*.ORSObject extension) file or an ORSSession (*.ORSSession extension) file to import. You can then select the object(s) that you want to import in the Select Objects dialog, shown below.

Lets you load a saved workspace (see Saving and Loading Workspaces).

Loads your default workspace (see Saving and Loading Workspaces).

Displays a list of recently imported image files. You can select one from the list to import it (see Importing Image Files)

Displays a list of recently loaded session files. You can select one from the list to load it (see Loading Sessions).

Opens the User Profile dialog, in which you can enter your name and contact information, as well as add a copyright notice (see Adding Your User Profile).

Opens the Image Filtering module, in which you can process images using standard image filters, deep learning models, and arithmetic operations (see Image Filtering).

Opens the Histographic Segmentation module, in which you can quickly segment image data by selecting clustered data values (see Histographic Segmentation).

Opens the Pore Network Modeling module, which provides a ready-made framework for performing a wide range of pore network simulations.

Opens the CT Reconstruction module, which provides an instrument independent tool for the tomographic reconstruction of cone-beam and parallel-beam acquisitions (see CT Reconstruction)

Automatically scrolls the Segment tab to the Segment with AI panel, in which you can automatically segment datasets with any of the Deep Learning or Machine Learning models that you have trained, imported, or downloaded (see Segment with AI).

Opens the Segmentation Trainer, in which you can train a Machine Learning (Classical) models for image segmentation tasks (see Machine Learning Segmentation).

Opens the Deep Learning module, in which you can train and edit Deep Learning models for image processing and segmentation tasks (see Deep Learning).

Opens the Auto Process Stack panel on the right sidebar, which enables real-time automatic processing of serial section 2D stack experiments (see Auto Processing Image Stacks).

Opens the Macro Player, in which you can record and play macros (see Recording and Playing Macros).

Opens the Camera Position Bookmarker, in which you can apply bookmarked camera positions to maintain consistency between views of different datasets or within sequences of views (see Bookmarking Camera Positions).

Opens the Action Log Viewer, in which you view all the actions that were performed by using the interface (see Action Log Viewer).

Opens the Report Generator dialog on the Main tab.

Opens the Command Prompt window (see Command Prompt).

Automatically opens the directory with the Python All Users Extensions folder in your installed file manager.

Opens Dragonfly's Infinite Toolbox, in which you can submit, browse, and download extensions that implement new features and workflows (see Infinite Toolbox).

Opens the Structured Grids Comparator, in which you can compare processing image data, regions of interest, and multi-ROIs with a ground truth.

Opens the Dragonfly technical documentation package for developers, which provides information about the ORS model, helpers, service classes, as well as details about the interface methods and the ORS Python plug-ins.

Opens the Docstring Analyzer, shown below, which is a debugging tool that lets you write docstrings and then see how the docstring will be parsed.

Opens the Object Model Observer dialog and graph.

Opens the Reference Finder dialog.

Opens the Script Runner dialog. Designed to execute custom code, the Script Runner can be used for introspection purposes on any Python object in the application, such as class instances, widgets, or ROIs. It can also be used to evaluate code snippets or to debug a few lines of code that is used in a file-based extension, such as a generic menu item.

Opens the Context Observer dialog, shown below, in which you can see details about the currently selected state.

Opens the Generic Action Generator dialog.

Opens the Menu Item Generator dialog, which lets you easily define menu items that are not associated to any plug-in.

Opens the Object Analysis Statistics Generator, which simplifies the task of adding new parameters for analyzing objects.

Opens the Generic Slice Analysis Measurement Generator, which lets you add new measurements for analyzing the slices in an image stack.

Opens the Python Plug-In Generator dialog. You can fully extend Dragonfly by writing modules in Python that implement specific tasks and workflows.

Opens the Dragonfly Help system, which provides step-by-step instructions for using the application and descriptions of the key features available for visualizing, transforming, and quantifying scientific and biomedical data.

Opens the Request Support dialog, which lets you send a message directly to the ORS Support Center, as well as upload supporting files.

Note You must be covered by a valid Maintenance & Support plan to use this function.

Opens the Dragonfly online forums, where you can ask questions, find answers, and share expertise with other users and developers.

Lets you recover your write access credentials for the Dragonfly forums.

Opens the Activate Product dialog, in which you can activate a new license (see Activating Dragonfly).
Note Requires internet access unless you have offline activation/deactivation support.