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Features
Segmenting
and Selecting Colocalized Voxels
ImarisColoc provides two standard methods, the "Threshold"
and "Polygon" modes, for separating image
from background voxels. Augmenting these standard
modes, Bitplane offers an active contouring function
that delivers interactive thresholding directly from
an image.
Starting
with any of these methods, ImarisColoc generates a
2D histogram, which takes voxels out of their spatial
context and plots them according to intensity. The
software calculates the histogram from one of three
image options:
- Single
slice: Quickly recognize planes with prominent colocalization
while browsing through z.
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Single time point: Spot single time points with
high colocalization while browsing through time.
-
All time points: Review an entire time series to
determine whether any colocalization exists. Intensity
levels in the histogram correspond to the quantity
of voxels that fall within certain intensity levels
of the image. ImarisColoc offers intensity scaling
that efficiently pinpoints the areas of greatest
interest.
Automated
Analysis — New from Bitplane
Manual
procedures have long been the norm for segmenting
and selecting voxels to generate histograms. But ImarisColoc
now makes it possible to automate the selection of
colocalized voxels.
Based
on an algorithm developed by Costes and Lockett at
the National Institutes of Health, NCI/SAIC, this
method defines a colocalized region using two thresholds
and requires that channels outside the region exhibit
no correlation.
Together
with ImarisBatch, automated selection enables users
to batch process large series of 3D and 4D images.
Real-time
Feedback
ImarisColoc
responds immediately to any change in voxel selection
from the histogram, generating a new image and statistical
report. This instantaneous feedback accelerates the
testing process and facilitates direct comparison
between the voxel selection and mathematical data.
Statistical
Reporting
Numerical
data document the degree of two-channel overlap:
— Number of voxels colocalized
— Percent of dataset colocalized
— Percent of channel A and B volume colocalized
— Percent of channel A and B material colocalized
— Channel correlation in colocalized volume
Statistics appear in the ImarisColoc application window
displayed alongside the colocalized image. These values
can also be exported as a comma delimited text file.
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