Publications by authors named "Jens Buchmann"

Quantitative photoacoustic tomography aims to recover the spatial distribution of absolute chromophore concentrations and their ratios from deep tissue, high-resolution images. In this study, a model-based inversion scheme based on a Monte-Carlo light transport model is experimentally validated on 3-D multispectral images of a tissue phantom acquired using an all-optical scanner with a planar detection geometry. A calibrated absorber allowed scaling of the measured data during the inversion, while an acoustic correction method was employed to compensate the effects of limited view detection.

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Versatile, multifunctional nanomaterials for theranostic approaches in cancer treatment are highly on demand in order to increase therapeutic outcomes. Here, we developed thermo-responsive nanogels equipped with the efficient near-infrared (NIR) transducing polymer polypyrrole (PPY) for combinational photothermal and chemotherapeutic therapy along with photoacoustic imaging ability. Long-term stability and water-dispersibility of PPY was achieved using semi-interpenetration method for in situ polymerization of PPY into hydrophilic thermo-responsive nanogels.

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Quantitative photoacoustic tomography aims to recover maps of the local concentrations of tissue chromophores from multispectral images. While model-based inversion schemes are promising approaches, major challenges to their practical implementation include the unknown fluence distribution and the scale of the inverse problem. We describe an inversion scheme based on a radiance Monte Carlo model and an adjoint-assisted gradient optimization that incorporates fluence-dependent step sizes and adaptive moment estimation.

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A Fabry-Perot ultrasound sensor with nonhygroscopic dielectric mirrors made out of TaO and SiO for use in photoacoustic tomography is described. The sensor offers flat frequency response up to 36 MHz, low noise-equivalent pressure (70 Pa), and near-omnidirectional response up to 20 MHz as well as optical transparency for near-infrared illumination. A numerical model was developed to predict its frequency response, and the results were validated experimentally.

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