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:
Sep. 23, 2025

Filed:

Mar. 17, 2021
Applicant:

Agency for Science, Technology and Research, Singapore, SG;

Inventors:

Anmin Kong, Singapore, SG;

Shaonan Zheng, Singapore, SG;

Lennon Yao Ting Lee, Singapore, SG;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/048 (2023.01); G01J 3/02 (2006.01); G01J 3/12 (2006.01); G01J 3/28 (2006.01); G02B 6/293 (2006.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G01J 3/0259 (2013.01); G01J 3/12 (2013.01); G01J 3/2803 (2013.01); G06N 3/048 (2023.01); G06N 3/084 (2013.01); G01J 2003/1213 (2013.01); G02B 6/29343 (2013.01);
Abstract

An integrated circuit spectrometer comprises a photonic circuit comprising: an optical input port for receiving light from a light source: and a filter array of filter elements, such as microring resonators, in optical communication with the optical input port. Each microring resonator is characterized by a different series of resonance wavelengths. If alternative filter elements are used, the filter elements may have different filter peaks to each other. The integrated circuit spectrometer also comprises a plurality of detectors, each of which is associated with one of said microring resonators to detect photons from an output of the microring resonator: and at least one processor configured to reconstruct, from signals received at the detectors, an input spectrum of the light received at the optical input port. The input spectrum may be reconstructed by an artificial neural network.


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