IP Library › Granted Patent US 10,228,280
Granted Patent B2
US 10,228,280 · App. 15/428,511 · Granted Mar 12, 2019

Optical sensor

Inventors: Stefan Abel (Zurich, CH); Jean Fompeyrine (Waedenswil, CH); Antonio La Porta (Kilchberg, CH)
Assignee: International Business Machines Corporation
G01J1/44G01N15/00G01N21/0303G01N21/05G01N21/47G01N2021/4711G01N2021/4719G01N2201/08G01N2201/12G01N2201/1296
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Quick Facts
Patent No.
US 10,228,280
App. No.
15/428,511
Granted
Mar 12, 2019
Kind
B2
Abstract

An optical sensor includes an interaction region configured to comprise an analyte and an illumination source configured to illuminate the interaction region with an optical input signal. The optical sensor further includes an optical coupling structure configured to collect transmitted parts of the optical input signal from the interaction region and an optical neuromorphic network that is directly optically coupled to the optical coupling structure and is configured to receive and process the transmitted parts of the optical input signal in the optical domain. The invention further concerns a related method for analyzing an analyte by an optical sensor.

Claims (29)

1. An optical sensor comprising

an interaction region configured to comprise an analyte;

an illumination source configured to illuminate the interaction region with

an optical input signal;

an optical coupling structure configured to collect transmitted parts of the optical input signal from the interaction region; and

an optical neuromorphic network being directly optically coupled to the optical coupling structure and being configured to receive and process the transmitted parts of the optical input signal in the optical domain.

2. An optical sensor as claimed in claim 1 , wherein the optical neuromorphic network is configured to be trained on performing a classification of the analyte.

3. An optical sensor as claimed in claim 1 , wherein the optical neuromorphic network is an optical reservoir system.

4. An optical sensor as claimed in claim 3 , wherein the optical reservoir system comprises

a plurality of optical reservoir nodes; and

a plurality of optical reservoir connections between the plurality of optical reservoir nodes.

5. An optical sensor according to claim 4 , further comprising

one or more input nodes;

one or more output nodes;

a plurality of output connections between the optical reservoir nodes and the output nodes, wherein one or more of the plurality of output connections comprise weighting elements which can be adjusted during a training process.

6. An optical sensor as claimed in claim 1 , wherein the optical neuromorphic network comprises one or more nonlinear optical elements.

7. An optical sensor as claimed in claim 1 , wherein the optical coupling structure comprises one or more optical waveguides.

8. An optical sensor as claimed in claim 1 , wherein the interaction region comprises a circular region having a circular shape, the circular region being surrounded by at least one waveguide configured to illuminate the interaction region and at least one waveguide to collect the transmitted parts of the input signal.

9. An optical sensor as claimed in claim 1 , wherein the sensor is configured to process a plurality of different wavelength.

10. An optical sensor as claimed in claim 1 , wherein the sensor comprises a plurality of interaction regions.

11. An optical sensor as claimed in claim 1 , wherein the sensor comprises a plurality of optical reservoir systems.

12. An optical sensor as claimed in claim 1 , wherein the interaction region comprises a microfluidic channel, the illumination source is configured to illuminate at least a part of the microfluidic channel and the microfluidic channel is configured to carry the analyte in a dissolved form in a fluidic medium.

13. An optical sensor as claimed in claim 1 , wherein the optical neuromorphic network is configured to perform a forecasting of one or more properties of the analyte.

14. An optical sensor as claimed in claim 1 , wherein the interaction region comprises a waveguide structure and wherein a surface or bulk of the waveguide structure is configured to interact with the analyte.

15. An optical sensor as claimed in claim 14 , wherein a surface of the interaction region is functionalized as to provide specific adsorption sites for molecules to be detected.

16. An optical sensor as claimed in claim 1 , wherein the sensor is configured to use static light scattering, dynamic light scattering and/or absorption spectroscopy to analyze the analyte.

17. An optical sensor as claimed in claim 1 , wherein the optical neuromorphic network comprises a plurality of output layers, wherein each of the plurality of output layers is configurable to be trained on performing a classification according to different classification criteria.

18. An optical sensor as claimed in claim 1 , wherein the illumination source is a broadband illumination source.

19. An optical sensor as claimed in claim 1 , wherein the sensor is configured such that the transmitted parts of the optical input signal have a different spectrum than the optical input signal.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 9, 2017
From: ABEL, STEFAN; FOMPEYRINE, JEAN; LA PORTA, ANTONIO
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 041670/0726 →
Continuity (1)
Related Publication 20180224327A1 · Aug 9, 2018