公开(公告)号：US11867615B2

公开(公告)日：2024-01-09

申请号：US17705095

申请日：2022-03-25

Applicant: TruTag Technologies, Inc.

Inventor： Guocai Shu ,  Alexandre Fong

IPC: G01N21/35 ,  G01J3/28

CPC classification number: G01N21/35 ,  G01J3/28 ,  G01J3/2823 ,  G01J2003/2826 ,  G01J2003/2873 ,  G01J2003/2879 ,  G01N2201/127

Abstract: A system includes a tunable Fabry-Perot etalon, a detector, and a processor. The tunable Fabry-Perot etalon has a settable gap. The detector measures light intensity transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine the calibrated spectral measurement, wherein the calibrated spectral measurement is based at least in part on a measurement set of detected light intensities for a selected set of settable gaps and a reconstruction matrix. The reconstruction matrix is based at least in part on calibration measurements using one or more field material targets, prior stored full calibrations for each of the one or more field material targets, and the selected set of settable gaps.

公开(公告)号：US20230304925A1

公开(公告)日：2023-09-28

申请号：US17705095

申请日：2022-03-25

Applicant: TruTag Technologies, Inc.

Inventor： Guocai Shu ,  Alexandre Fong

IPC: G01N21/35

CPC classification number: G01N21/35 ,  G01N2201/127

Abstract: A system includes a tunable Fabry-Perot etalon, a detector, and a processor. The tunable Fabry-Perot etalon has a settable gap. The detector measures light intensity transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine the calibrated spectral measurement, wherein the calibrated spectral measurement is based at least in part on a measurement set of detected light intensities for a selected set of settable gaps and a reconstruction matrix. The reconstruction matrix is based at least in part on calibration measurements using one or more field material targets, prior stored full calibrations for each of the one or more field material targets, and the selected set of settable gaps.

公开(公告)号：US12051254B2

公开(公告)日：2024-07-30

申请号：US17728726

申请日：2022-04-25

Applicant: TruTag Technologies, Inc.

Inventor： Alexandre Fong ,  Guocai Shu ,  Jai Hebel

IPC: G06V20/69 ,  G06F18/24 ,  G06F18/25

CPC classification number: G06V20/698 ,  G06F18/24 ,  G06F18/253

Abstract: A system for typing biological cells includes a tunable Fabry-Perot etalon, and imaging sensor, and a processor. The imaging sensor acquires one or more images of one or more biological cells from light transmitted through the tunable Fabry-Perot etalon. Each image represents signal associated with one or more wavelengths transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine a type of each of the one or more biological cells. Determining the type uses a machine learning algorithm and is based at least in part on one or more of an image segmentation, a patch extraction, a feature extraction, a feature compression, a deep feature extraction, a feature fusion, a feature classification, and a prediction map reconstruction.

公开(公告)号：US20220351005A1

公开(公告)日：2022-11-03

申请号：US17728726

申请日：2022-04-25

Applicant: TruTag Technologies, Inc.

Inventor： Alexandre Fong ,  Guocai Shu ,  Jai Hebel

IPC: G06K9/62

Abstract: A system for typing biological cells includes a tunable Fabry-Perot etalon, and imaging sensor, and a processor. The imaging sensor acquires one or more images of one or more biological cells from light transmitted through the tunable Fabry-Perot etalon. Each image represents signal associated with one or more wavelengths transmitted through the tunable Fabry-Perot etalon. The processor is configured to determine a type of each of the one or more biological cells. Determining the type uses a machine learning algorithm and is based at least in part on one or more of an image segmentation, a patch extraction, a feature extraction, a feature compression, a deep feature extraction, a feature fusion, a feature classification, and a prediction map reconstruction.