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Optimization-based simultaneous alignment and reconstruction in multi-element tomography
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DOI：10.1364/OL.44.004331.png)
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Abstract
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As x-ray microscopy is pushed into the nanoscale with the advent of more bright and coherent x-ray sources, associated improvement in spatial resolution becomes highly vulnerable to geometrical errors and uncertainties during data collection. We address a form of error in tomography experiments, namely, the drift between projections during the tomographic scan. Our proposed method can simultaneously recover the drift, while tomographically reconstructing the specimen based on a joint iterative optimization scheme. This approach utilizes the correlation provided from different view angles and different signals. While generally applicable, we demonstrate our method on x-ray fluorescence tomography from a tissue specimen and compare the reconstruction quality with conventional methods. (C) 2019 Optical Society of America
Keywords:
X-RAY NANOTOMOGRAPHY
REGISTRATION
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3.3
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4.0W
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