Diffractive all-optical computing for quantitative phase imaging
AssigneeThe Regents of the University of California
InventorsAydogan Ozcan, Deniz Mengu
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AssigneeThe Regents of the University of California
InventorsAydogan Ozcan, Deniz Mengu
Estimating the term…
Quantitative phase imaging (QPI) is a label-free computational imaging technique that provides optical path length information of objects. Here, a diffractive QPI network architecture is disclosed that can synthesize the quantitative phase image of an object by converting the input phase information of a scene or object(s) into intensity variations at the output plane. A diffractive QPI network is a specialized all-optical device designed to perform a quantitative phase-to-intensity transformation through passive diffractive/reflective surfaces that are spatially engineered using deep learning and image data. Forming a compact, all-optical network that axially extends only ˜200-300λ (λ=illumination wavelength), this framework replaces traditional QPI systems and related digital computational burdens with a set of passive substrate layers. All-optical diffractive QPI networks can potentially enable power-efficient, high frame-rate and compact phase imaging systems that might be useful for various applications, including, e.g., on-chip microscopy and sensing.
A diffractive Quantitative Phase Imaging (QPI) network for imaging a phase object or a sample containing a phase distribution or phase information comprising:
A method of performing quantitative phase imaging comprising:
Dependencies are inferred from the claim text.