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Deep learning based electrical noise removal enables high spectral optoacoustic contrast in deep tissue
We validated the ability of the trained model to accurately remove electrical noise on synthetic data and on optoacoustic images of a phantom and the human breast.
Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues
We discover a new principle underlying light fluence in tissues, which describes the wavelength dependence of light fluence as an affine function of a few reference base spectra, independently of the specific distribution of tissue optical properties.
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