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Updated: Aug 5, 2026

Automated Joint Space Detection Improves Bone Segmentation Accuracy
Published on: November 28, 2025
Robust ptychographic joint optimization via frequency marching and adaptive-confidence tuning
Abstract:
Simultaneous recovery of the object, probe, and scan geometry in ptychography is strongly coupled and sensitive to initialization, discretization, and scan-to-scan variability. We propose J-FACT (Joint Frequency-Marching and Adaptive-Confidence Tuning), a two-stage maximum a posteriori framework for robust joint reconstruction and geometry self-calibration via frequency marching (FM) and adaptive-confidence tuning (ACT). FM enlarges the basin of attraction by restoring local crop consistency under large miscalibration, while ACT stabilizes full-resolution refinement by adapting per-measurement geometry regularization from diffraction-residual evidence. In simulation and experiment, J-FACT improves reconstruction fidelity and diffraction consistency under significant geometry miscalibration.
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