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Updated: Feb 15, 2026

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
Published on: October 1, 2014
3D-BNN-accelerated phase tracking with optimal sub-region selection for high-dynamic-range OCE
Abstract:
Phase decorrelation can limit the dynamic range of phase-sensitive optical coherence elastography (PhS-OCE). Here, we reported a three-dimensional (3D) Bayesian neural network with an optimized sub-region size determination approach to overcome phase decorrelation rapidly in 3D-PhS-OCE. Our method can automatically provide a reasonable sub-region size as small as possible without requiring any prior knowledge. As a result, 3D pixel-level offsets induced by large deformations can be tracked rapidly, benefiting from both the smaller matching subregion and the network's parallel computing capability. The results demonstrate that the proposed 3D-BNN with optimal sub-region size determination improves computational efficiency by about 24% over the empirical 3D-BNN and by 26 times over the PVC method.
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15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
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