2-D and 3-D Analysis

The quantitative data stored by images can be selectively accessed using masks. A mask is a 2D or 3D selection of locations within the image. Multiple masks can be created per image. Masks are stored with the image and can be created by segmentation (selecting a range of intensities or edge conditions), by manual delineation, or by interaction with an existing mask (AND, OR, NOT, XOR operations). Statistics can be generated on the data delineated by masks. These statistics include integrated intensity by channel, average intensity by channel, volume, surface area, major axis, maximum intensity by channel, minimum intensity by channel, etc.

SlideBook™ can also break masks into submasks. Submasks are voxels defined within a mask that are contiguous in 3D. Submasks can be gated by size to select for certain objects or to eliminate noise. Submasks can be counted and individually quantified. This allows for operations such as cell counting and population variance description.