Deep imaging inside scattering media through virtual spatiotemporal wavefront shaping
arxiv(2023)
摘要
The multiple scattering of light makes materials opaque and obstructs
imaging. Wavefront shaping can reverse the scattering process, but imaging with
physical wavefront shaping has severe deficiencies such as requiring physical
guidestars, limited within a small isoplanatic patch, restricted to planar
targets outside the scattering media, and slow wavefront updates due to the
hardware. Here, we introduce scattering matrix tomography (SMT): measure the
hyperspectral scattering matrix of the sample, use it to digitally scan a
synthesized confocal spatiotemporal focus and construct a volumetric image of
the sample, and then use the synthesized image as many virtual guidestars to
digitally optimize the pulse shape, input wavefront, and output wavefront to
compensate for aberrations and scattering. The virtual feedback dispenses with
physical guidestars and enables hardware-free spatiotemporal wavefront
corrections across arbitrarily many isoplanatic patches. We demonstrate SMT
with sub-micron diffraction-limited lateral resolution and one-micron
bandwidth-limited axial resolution at one millimeter beneath ex vivo mouse
brain tissue and inside a dense colloid, where all existing imaging methods
fail due to the overwhelming multiple scattering. SMT translates imaging and
wavefront shaping into a computational problem. It is noninvasive and
label-free, provides multi-isoplanatic volumetric images inside and outside the
scattering media, and can be applied to medical imaging, device inspection,
biological science, and colloidal physics.
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