Image Data Pop-Up Menu

Opens the Dataset Properties panel, in which the basic and advanced properties related to a dataset can be viewed and modified (see Dataset Properties).

The following options are available to modify and transform image data.

Crop

Opens the Dataset Cropper panel. In this panel you can crop image data to the bounding box defined with the Clip box tool (see Cropping Datasets).

Sample

Opens the Dataset Sampler panel, in which you can modify image spacing by upsampling or downsampling (see Sampling Datasets).

Convert

Opens the Convert Dataset panel, in which you can restructure data according to different analysis needs (see Converting Image Data).

Resample Geometry

Copies the intersected values of the selected data into the geometry, or shape, of another object to create a new dataset (see Resampling Geometries).

Invert

Opens the Invert Dataset panel. In this panel you can invert the values and the X, Y, and Z axes of your image data, as well as apply an axis transformation (see Inverting Datasets).

Apply Transformation From

Automatically applies transformations, such as translations, rotations, and scaling, that were applied to a reference object to the selected data.

You should note that only objects that were previously transformed will be available in the Choose an Object dialog, shown below.

To help maintain consistency when you work with multiple objects, you can apply the transformations, such as translations and rotations, that were applied to a reference object to the selected image data. You should note that only objects that were translated and/or rotated, will be available in the Choose an object dialog as the reference.

The following options are available to align image data with the current scene views.

With Current View

Automatically rotates image data so that the selected axis is aligned to the Z-axis of the world coordinate system, as shown below.

Centroid With

Automatically aligns the centroid of the selected data with the centroid of another object. Applicable objects include volumetric image data, regions of interest, multi-ROIs, and meshes. Reference objects can be selected in the Choose the Object to Align With dialog.

Lets you create a new 3D volume that is aligned to the selected viewing angle (see Deriving New Volumes from the Current View).

Allows you to save reformations, such as oblique and double-obliques, that were applied with the Walk tool or by other methods. The result is a new multi-ROI formatted in the current space (see Deriving New Volumes from the Current View).

The following options are available for exporting image data.

Images

Lets you export data to a number of different file formats (see Exporting Images).

Export as ORSObject

Exports data in the ORS Object (*.ORSObject extension) file format (see Exporting Objects).

As DICOM

Exports data in the DICOM file format (see X-REF REQUIRED).

To CZI

Exports data in the CZI file format (*.czi extension).

This option is available for Dragonfly Pro only. Contact Object Research Systems for information about the availability of this version of Dragonfly.

Opens the Bone Analysis Wizard, which is designed for the evaluation of high-resolution micro-CTs of bone specimens (see Bone Analysis).

Generates a contour mesh from data values above a selected threshold (see Generating Contour Meshes).

Description not yet available.

Lets you automatically segment image data with any of the machine learning classifiers or deep models that you trained or downloaded (see Automated Segmentation).

Provides a shortcut for selecting macros that can be executed for the selected image data (see Recording and Playing Macros).

Opens the User Data dialog, in which you can view detailed object descriptions, as well as add fields to further describe the selected item (see User Data).

Creates a multi-ROI in which each value in the dataset is assigned as a class. If there are 2,000 values in the dataset, then there will be 2,000 classes in the multi-ROI. Usually done after post-processing, such as creating a distance map, to create a sparse representation of the gray tones in a dataset. You should note that this option is not available for datasets in FLOAT.

Creates a distance map for a selected region of interest using Dijkstra's algorithm for finding the shortest paths between nodes.

Creates a distance map for a selected region of interest using the numerical method created by James Sethian for solving boundary value problems of the Eikonal equation.

Lets you extract a new dataset from marked image slices (see Extracting New Images from Marked Slices).

Lets you create a 4D, or time-enabled, dataset from multiple datasets (see Creating 4D Images).

Lets you combine, or merge, multiple volumetric datasets into a single 3D dataset (see Stitching 3D Images).

Lets you to register a selected dataset to a baseline by modifying its position and/or rotation (see Registering Datasets).

Opens the Segmentation Wizard context.

Lets you to align the slices within a dataset to build a consistent image stack (see Aligning Image Stacks).

Lets you precisely combine, or stitch, overlapping 2D or 3D image tiles to create a single high-resolution image that is beyond the normal aspect ratio and resolution of a microscope's field of view (see Stitching Images).

Description not yet available.

Lets you add Gaussian noise to the selected dataset. You can select the level of noise required in the Standard Deviation dialog.

Automatically creates a new region of interest for each intensity value in the selected dataset.

Description not yet available.

Lets you normalize the histogram of a selected dataset to the histogram of another dataset.

Note This item will only be available if another dataset is loaded.

Overwrite the values of an image with the intersecting values of the selected, or reference, image.

The reference image and the image to overwrite must be of the same data type — UBYTE, SHORT, UINT, or FLOAT. For best results, the image values should also be within the same range. If required, you can convert or normalize data within a selected range with the Image Converter (see Converting Image Data).

How to Overwrite Image Values

1. Right-click the image you want to overwrite and then choose Overwrite with Another Image in the pop-up menu.
2. Choose the dataset you need to overwrite in the Choose an Image to Overwrite With dialog.

   

3. Click OK.

Can be used to remove small defects within an image or to replace lost or corrupted parts of image data (see Inpainting).

The following options are available to modify and transform image data.

Resample Geometries

Copies the intersected values of the selected data into the geometry, or shape, of another object (see Resampling Geometries).

The following options are available to align image data with the current scene views.

With Current View

Automatically rotates image data so that the selected axis is aligned to the Z-axis of the world coordinate system.

The following options are available for exporting image data.

as Multiple ORSObject

Exports data as multiple files in the ORS Object (*.ORSObject extension) file format (see Exporting Objects).

If the selected items share the same name, their file names will be appended with a sequential number.

Export as ORSObject

Exports all data to a single file in the ORS Object (*.ORSObject extension) file format (see Exporting Objects).

Lets you automatically segment image data with any of the machine learning classifiers or deep models that you trained or downloaded (see Automated Segmentation).

Provides a shortcut for selecting macros that can be executed for the number of items selected.

Lets you create a 4D, or time-enabled, dataset from multiple images (see Creating 4D Images).

Lets you combine, or merge, multiple volumetric images into a single 3D dataset (see Stitching 3D Images).

Lets you artificially add Gaussian noise to images. Deliberately corrupting an image with noise may be useful in cases in which you need to test the resistance of an image processing operator to noise or to assess the performance of various noise filters.

Lets you normalize the histogram of the selected data to the histogram of a reference dataset.

Lets you create the following moment datasets from the current selection:

Mean… The first raw moment, which is the mean value of the pixels in the selection.

Variance… The second central moment.

Skewness… The third order moment about the mean. Skewness is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or dataset, is symmetric if it looks the same to the left and right of the center point.

Kurtosis… The fourth order moment about the mean. Kurtosis is a measure of whether data is heavy-tailed or light-tailed relative to a normal distribution. That is, datasets with high kurtosis tend to have heavy tails, or outliers. Datasets with low kurtosis tend to have light tails, or lack of outliers.

Hyperskewness… The fifth central moment.

Hyperflatness… The sixth central moment.

Description not yet available.

Lets you export selected RGB channels in the BMP, JPEG, and PNG file formats.

You should note that you can drag channels up and down to match them to a specific output in the Export as RGB dialog, shown below, as well as replace channels as required.