The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 25, 2025

Filed:

Oct. 17, 2023
Applicant:

Vanderbilt University, Nashville, TN (US);

Inventors:

Jason G. Valentine, Nashville, TN (US);

You Zhou, Nashville, TN (US);

Hanyu Zheng, Nashville, TN (US);

Assignee:

Vanderbilt University, Nashville, TN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G02B 21/12 (2006.01); G02B 1/00 (2006.01); H04N 23/54 (2023.01); H04N 23/56 (2023.01); G02B 3/00 (2006.01);
U.S. Cl.
CPC ...
G02B 21/12 (2013.01); G02B 1/002 (2013.01); G02B 1/005 (2013.01); H04N 23/56 (2023.01); G02B 3/0056 (2013.01); H04N 23/54 (2023.01);
Abstract

A 2D spatial differentiator operates in transmission and comprises a Si Nano rod photonic crystal that can transform an image, Ein, into its second-order derivative, Eα∇E, allowing for direct discrimination of the edges in the image. The use of a 2D photonic crystal allows for differentiation and edge detection in all directions with a numerical aperture (NA) up to 0.315 and an experimental resolution smaller than 4 μm. The nanophotonic differentiator is able to be directly integrated into an optical microscope and onto a camera sensor, demonstrating the ease with which it can be vertically integrated into existing imaging systems. Furthermore, integration with a metalens is demonstrated for realizing a compact and monolithic image-processing system. In all cases, the use of the nanophotonic differentiator allows for a significant reduction in size compared to traditional systems, opening new doors for optical analog image processing in applications involving computer vision.


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