The image was generated from the Allen Brain Atlas Brain Explorer.
Three-dimensional reconstruction of the confocal image was generated using Volocity® software (PerkinElmer).
Using a constant threshold a binary image was generated and the morphometric data were extracted.
For estimating total beta-cell volume, the 8-bit image was generated from the R, G, B overlay to include the entire beta-cell population within the islet.
The bottom right image was generated by selecting a middle DCNN layer responding selectively to parts of objects (layer = 'inception_3b/output', other parameters as above).
A tiling image was generated by aligning 20 × 20 images to cover a single well of a 96 well plate (left panel).
For estimating single-beta-cell volume, the 8-bit image was generated from the Green and Blue channels only, while ignoring the Red channel.
A 'stretched' image was generated by vertically extending the same western image directly above it in order to better visualize the MAP4K4 mobility shift.
To quantify the neurite extension angle, a YZ-projection (side view) image was generated from the 3D reconstruction of a confocal scan.
This image was generated by a C++ program using stochastic sampling to compute depth-of-field, motion blur, and anti-aliasing effects.
A maximum intensity image was generated from these same segmented image sequences, and each vascular component was skeletonized via a thinning algorithm.
