Breaking optoelectronic SNR limitations via physics-consistent computational diffractive imaging
2026-08-03 • Graphics
Graphics
AI summaryⓘ
The authors study ptychography, a special imaging method that doesn’t need lenses but can struggle when detector hardware isn’t perfect. They improve the technique by measuring how trustworthy each part of the detector is and using that information during image reconstruction. This helps the method ignore noisy parts of the detector while keeping important details, resulting in clearer images with better signal-to-noise ratios. Their approach works well in various imaging settings and outperforms earlier noise-reduction methods.
PtychographyLensless imagingDiffraction limitDetector noiseSignal-to-noise ratioPhase imagingMeasurement calibrationImage reconstructionRayleigh limitDenoising
Authors
Yun Xie, Bianli Zhao, Han Yue, Rui Zhang, Zhiyi Huang, Weiran Jiang, Chuangchuang Cheng, Steve F. Shu
Abstract
Ptychography is a powerful lensless imaging technique capable of approaching the diffraction limit, yet its performance is increasingly constrained by non-ideal detection hardware. In photon-limited measurements, weak high-frequency diffraction signals often overlap with spatially heterogeneous detector noise, whereas most reconstruction algorithms still treat the detector as an ideal measurement plane. Here, we introduce detector-informed measurement consistency into ptychographic reconstruction. By calibrating the pixelwise sensor response, the method construct a spatially resolved confidence map and embed it into the iterative amplitude constraint, allowing unreliable detector residuals to be down-weighted while preserving physically meaningful diffraction information. Experiments across transmission, reflection, and weak biological phase imaging show improved diffraction-data quality, an approximately twofold signal-to-noise ratio (SNR) enhancement, and reconstruction approaching the Rayleigh limit with a measured (k)-factor of about 0.65. Compared with previous advanced denoising methods, the proposed framework achieves a better balance between suppressing detector-induced background and preserving structural diffraction information. These results show that detector reliability can be used as an in-loop physical constraint to extend the performance of ptychographic imaging with imperfect sensors.