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The binary imaging method introduced here uses multiple bitplanes to achieve reproducible, high throughput quantitative assessment of peripheral nerve.
Systematic refinements in binary imaging analysis techniques combined with an algorithmic approach allow for more exhaustive characterization of nerve parameters in the surgically relevant injury paradigms of regeneration following crush, transection, and nerve gap injuries.
These peaks were also used for binary imaging with binarization thresholds.
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To utilize these two features and to avoid problems due to differences in the two imaging techniques, both images are first converted into binary images.
This paper focuses on a diagnostic system dedicated for plate structures with a variable length linear crack using the guided wave-based technique and a novel ellipse-based binary damage imaging algorithm.
Images were later converted to 2D binary digital imaging communication (DICOM) files and imported into 64-bit OsiriX (Opensource software) for image reconstruction.
Here, we utilized diffusion tensor imaging to construct binary anatomical networks for 17 early blind subjects and 17 age- and gender-matched sighted controls.
Here, we utilized diffusion tensor imaging to construct binary anatomical networks for 72 right-handed healthy adult subjects.
Technique: Confocal imaging.
imaging techniques.
Bioluminescence imaging.
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