Deep Ultraviolet (UV) microscopy enables high-resolution, molecular imaging and typically yields 2D images representing the axial projection of a sample's 3D absorption onto a plane. In this work, we present a tomographic imaging approach based on multispectral UV microscopy, to visualize complex 3D structural features in samples. We aim to employ through-focus intensity images captured with varying partially coherent and asymmetric illumination patterns to extract the 3D absorption and refractive index (RI) distributions of the sample at distinct UV wavelengths. The recovery procedure relies on solving the inverse scattering problem using the 3D optical transfer function of our microscope.
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Kaza et al. (2024) studied this question.
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