Tracking moving objects through scattering media via speckle correlations
arXiv:2202.10804 · doi:10.1038/s41467-022-33470-y
Abstract
Scattering can rapidly degrade our ability to form an optical image, to the point where only speckle-like patterns can be measured. Truly non-invasive imaging through a strongly scattering obstacle is difficult, and usually reliant on a computationally intensive numerical reconstruction. In this work we show that, by combining the cross-correlations of the measured speckle pattern at different times, it is possible to track a moving object with minimal computational effort and over a large field of view.
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Cited by in corpus (4)
- Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)
- Model-free estimation of the Cramér-Rao bound for deep-learning microscopy in complex media
- A physics-defined recurrent neural network to compute coherent light wave scattering on the millimetre scale
- Sensing the position of a single scatterer in an opaque medium by mutual scattering