SXM logo 64

A-Z Index   |   FAQs   |   File Formats   |   Home   |   Macros   |   Menu Items   |   Misc   |   Shortcuts


File
Edit
Options
Process
Analyze
Video
Macros
Stacks
SEM
SPM
Windows
Help

Windows to Stack
Stack to Windows
Add Slice
Delete Slice
Next Slice >
Last Slice <

Make Movie
Capture Frames
Animate
Average
Make Montage

Capture Color
RGB to 24-bit Color
8-bit Color to RGB
RGB to HSV

Register
Project
Reslice
Stack Info

Auto Register
Depth Of Focus
Make Mosaic

NIH Image

Generates an animation sequence by projecting through a rotating 3D data set onto a plane. Each frame in the animation sequence is the result of projecting from a different viewing angle. To visualize this, imagine a field of parallel rays passing through a volume containing one or more solid objects and striking a screen oriented normal to the directions of the rays. Each ray projects a value onto the screen, or projection plane, based on the values of points along its path. Three methods are available for calculating the projections onto this plane: nearest-point, brightest-point, and mean-value. The choice of projection method and the settings of various visualization parameters determine how both surface and interior structures will appear.

Distance Between Slices is the interval, in pixels, between the slices that make up the volume. Image projects the volume onto the viewing plane at each Rotation Angle Increment, beginning with the volume rotated by Initial Angle and ending once the volume has been rotated by Total Rotation.

The Lower and Upper Transparency Bound parameters determine the transparency of structures in the volume. Projection calculations disregard points having values less than the lower threshold or greater than the upper threshold. Setting these thresholds permits making background points (those not belonging to any structure) invisible. By setting appropriate thresholds, you can strip away layers having reasonably uniform and unique intensity values and highlight (or make invisible) inner structures. Note that you can use density slicing to set the transparency bounds.


Steve Barrett     November 2014


S.D.Barrett @ liv.ac.uk