IP Library › Granted Patent US 12,323,714
Granted Patent B2
US 12,323,714 · App. 18/856,549 · Granted Jun 3, 2025

Compact optoelectronic device for noninvasive imaging

Inventors: Arto Nurmikko (Providence, RI); Ning Zhang (Providence, RI)
Assignee: Brown University
H04N23/95G06N3/049H04N25/47
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Quick Facts
Patent No.
US 12,323,714
App. No.
18/856,549
Granted
Jun 3, 2025
Kind
B2
Abstract

A system includes a high density surface emitting laser array source, the high density surface emitting laser array source comprising a near infrared vertical cavity semiconductor laser (VCSEL) array that enables individual access to closely packed laser elements on a sub-microsecond timescale, a detector comprising a dynamic vision sensor having low latency, high dynamic range and ultralow power, and a chip scale neuromorphic computing platform configured to perform real-time target image reconstruction, the distinctly separate high density surface emitting laser array source, the detector and the chip scale neuromorphic computing platform integrated into a single functional whole.

Claims (14)

1. A system comprising:

a high density surface emitting laser array source, the high density surface emitting laser array source comprising a near infrared vertical cavity semiconductor laser (VCSEL) array that enables individual access to closely packed laser elements on a sub-microsecond timescale;

a detector comprising a dynamic vision sensor having low latency, high dynamic range and ultralow power; and

a chip scale neuromorphic computing platform configured to perform real-time target image reconstruction, the distinctly separate high density surface emitting laser array source, the detector and the chip scale neuromorphic computing platform integrated into a single functional whole.

2. The system of claim 1 wherein the dynamic vision camera chip detects time-varying changes in optical constants.

3. The system of claim 2 wherein the dynamic vision camera chip collects backscattered infrared light from a turbid media and records dynamic events of interest as spike data.

4. The system of claim 3 wherein the dynamic vision camera chip is temporally synchronized with pulsed emission from each VCSEL array, enabling the spike data be acquired as a matrix representation S i,j ×D k,1 , where each source/detector pixel pair represents contribution from a separate photon source channel to a full image within the dynamic vision camera chip's field of view.

5. The system of claim 4 wherein the chip scale neuromorphic computing platform comprises an asynchronous spiking neural network (SNN) for adaptive self-modifying event-driven fine-grained parallel computations used to implement learning and inference with high efficiency.

6. A neuromorphic imaging pipeline architecture comprising:

a scattering medium with dynamic targets;

laser driving circuits linked to a vertical-cavity surface-emitting laser (VCSEL) array, the VCSEL array providing photon injection into the scattering medium;

a dynamic vision sensor (DVS) camera to provide photon detection from the scattering medium, the DVS camera sending spike trains to a neuromorphic chip for data driven neuromorphic execution;

a deep spiking neural network (DSNN) for target reconstruction (image/video) on the neuromorphic chip; and

a consistent signal pipeline with only asynchronous spiking signals generated at hardware level are the data flow.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 26, 2024
From: NURMIKKO, ARTO; ZHANG, NING
To: BROWN UNIVERSITY
Reel/Frame 069680/0294 →
Continuity (2)
Provisional Application 63332902 · Apr 20, 2022
Related Publication 20250106530A1 · Mar 27, 2025
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