公开(公告)号：US20240175752A1

公开(公告)日：2024-05-30

申请号：US18552628

申请日：2022-03-30

Applicant: The Board of Trustees of the Leland Stanford Junior University

Inventor： Jennifer A. Dionne ,  Ahmed Shuaibi ,  Amr A. E. Saleh

IPC: G01J3/44 ,  G01J3/02 ,  G01N21/65

CPC classification number: G01J3/44 ,  G01J3/0256 ,  G01N21/65 ,  G01N2201/1296

Abstract: Systems and methods for compact and low-cost vibrational spectroscopy platforms are described. Many embodiments implement deep learning processes to identify the relevant optical spectral features for the identification of an element from a set of elements. Several embodiments provide that resolution reduction and feature selection render efficient data analysis processes. By reducing the spectral data from the full wide-band high-resolution spectrum to a subset of spectral bands, a number of embodiments provide compact and low-cost hardware incorporation in spectroscopic platforms for element identification functions.

公开(公告)号：US20240168000A1

公开(公告)日：2024-05-23

申请号：US18516847

申请日：2023-11-21

Applicant: MOTION METRICS INTERNATIONAL CORP.

Inventor： Obada Alhumsi ,  Sophia Alexandra Helen Piche ,  Peter Shang Yu Hsieh ,  Mohammad Sameti ,  Saeed Karimifard ,  Thomas C. Chudy

IPC: G01N33/24 ,  G01N1/28 ,  G01N21/31

CPC classification number: G01N33/24 ,  G01N1/286 ,  G01N21/31 ,  G01N2201/12761 ,  G01N2201/1296

Abstract: Spectral imaging systems are used to gather spectral image data on earthen material moving within an earthen material processing system, such as a mineral processing system or cement plant. Machine learning models such as 3D convolutional neural networks may be utilized to process the spectral image data to determine or classify one or more characteristics of the earthen material, such as ore grade, mineral alteration(s), moisture content, lithology and/or mineralogy. Such earthen material characteristics, or classifications thereof, may then be utilized to automatically control one or more operational characteristics of the earthen material processing system, such as rotational speed of milling equipment or flow rates of water or chemicals added to milling equipment or mineral concentration systems.

公开(公告)号：US11937924B2

公开(公告)日：2024-03-26

申请号：US18274545

申请日：2022-02-25

Applicant: DATAMED S.R.L.

Inventor： Giampiero Porro ,  Alessandro Torinesi ,  Roberto Pozzi ,  Giovanna Quarto ,  Luca Bolzoni

IPC: A61B5/1455 ,  A61M1/36 ,  G01N21/64 ,  G01N21/85

CPC classification number: A61B5/14557 ,  A61M1/3609 ,  G01N21/6408 ,  G01N21/85 ,  A61M2230/205 ,  G01N2021/6482 ,  G01N2201/1296

Abstract: The present invention refers to a device (1) and a method of measuring a parameter of blood, preferably correlated to the presence or concentration of oxygen in blood. The invention provides to: excite a photosensitive element (18′) in contact with blood by excitation pulses, detect light responses of the photosensitive element corresponding to the excitation pulses, and analyze the plurality of luminescence decay curves at least two time windows (t1-tN). Moreover, the invention provides to: detect one or more light answer analog information regarding the luminescence curve decay at each time window, convert the analog information into digital data, process the digital data and the actual temperature value of blood by taking into account a plurality of data of previous measures of the parameter of blood performed during a previous training, and determine, as a result of the processing step, at least one value of said parameter of blood.

公开(公告)号：US20240052395A1

公开(公告)日：2024-02-15

申请号：US18494225

申请日：2023-10-25

Applicant: Arizona Board of Regents on behalf of Arizona State University

Inventor： Nongjian Tao ,  Shaopeng Wang ,  Hui Yu

IPC: C12Q1/18 ,  G16H10/40 ,  G16H50/20 ,  G16H30/40 ,  G01N21/51 ,  G06T7/00

CPC classification number: C12Q1/18 ,  G16H10/40 ,  G16H50/20 ,  G16H30/40 ,  G01N21/51 ,  G06T7/0012 ,  G01N2201/1296 ,  G06T2207/10016 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024

Abstract: A method for deep learning video microscopy-based antimicrobial susceptibility testing of a bacterial strain in a sample by acquiring image sequences of individual bacterial cells of the bacterial strain in a subject sample before, during, and after exposure to each antibiotic at different concentrations. The image sequences are compressed into static images while preserving essential phenotypic features. Data representing the static images are input into a pre-trained deep learning (DL) model which generates output data; and antimicrobial susceptibility for the bacterial strain is determined from the output data.

公开(公告)号：US20240044802A1

公开(公告)日：2024-02-08

申请号：US18264370

申请日：2022-02-04

Applicant: NANYANG TECHNOLOGICAL UNIVERSITY

Inventor： Xing Yi LING ,  In Yee PHANG ,  Gia Chuong PHAN QUANG ,  Siew Kheng BOONG ,  Howard Yi Fan SIM ,  Sher Lin Charlynn KOH ,  Shi Xuan LEONG ,  Yong Xiang LEONG

IPC: G01N21/65

CPC classification number: G01N21/658 ,  G01N2201/1296 ,  G01N2021/656 ,  G01N2201/1293

Abstract: Herein disclosed is a surface-enhanced Raman scattering (SERS) chip for generating multiple SERS profiles simultaneously from one or more analytes suspected to be in a sample. The SERS chip includes one or more substrates, and one or more Raman probes formed on the one or more substrates, wherein each of the one or more Raman probes includes a SERS-active nanoparticle grafted with a receptor molecule, (i) wherein the receptor molecule on each of the one or more Raman probes on one substrate is different from the receptor molecule of the one or more Raman probes on another substrate, and/or (ii) wherein the one or more Raman probes include two or more Raman probes and wherein the receptor molecule on each of the two or more Raman probes on one substrate is different, wherein the receptor molecule includes a thiol group proximal to the SERS-active nanoparticle and a functional group distal to the SERS-active nanoparticle, wherein the functional group interacts with the one or more analytes to induce a change in molecular vibration of the receptor molecule which is identifiable by surface-enhanced Raman scattering for generating the multiple SERS profiles. Herein also discloses a method of identifying one or more analytes suspected to be in a sample, the method includes contacting the surface-enhanced Raman scattering (SERS) chip described in various embodiments of the first aspect with a sample suspected to contain the one or more analytes, collecting SERS signals from the surface-enhanced Raman scattering (SERS) chip which has contacted the sample, constructing a combined-SERS profile from the SERS signals, and providing the combined-SERS profile to a device configured with a model trained to identify the one or more analytes from the combined-SERS profile.

公开(公告)号：US20180180537A1

公开(公告)日：2018-06-28

申请号：US15900285

申请日：2018-02-20

Applicant: CIRECA THERANOSTICS, LLC ,  NORTHEASTERN UNIVERSITY

Inventor： Max DIEM ,  Stanley H. Remiszewski ,  Clay M. Thompson

IPC: G01N21/31 ,  G01N21/65 ,  G16H50/20 ,  A61B5/00 ,  G01N21/552 ,  G01N21/64 ,  G06T7/30 ,  G06K9/00 ,  G01N21/3581 ,  G01N21/35 ,  G06K9/46

CPC classification number: G01N21/31 ,  A61B5/0071 ,  A61B5/0075 ,  A61B5/415 ,  A61B5/418 ,  A61B5/7257 ,  G01N21/35 ,  G01N21/3581 ,  G01N21/552 ,  G01N21/6456 ,  G01N21/65 ,  G01N2021/3595 ,  G01N2021/6417 ,  G01N2021/653 ,  G01N2201/1293 ,  G01N2201/1296 ,  G06K9/00134 ,  G06K9/00147 ,  G06K2009/4657 ,  G06T7/30 ,  G06T2207/20101 ,  G06T2207/30024 ,  G16H50/20

Abstract: A method for analyzing biological specimens by spectral imaging to provide a medical diagnosis includes obtaining spectral and visual images of biological specimens and registering the images to detect cell abnormalities, pre-cancerous cells, and cancerous cells. This method eliminates the bias and unreliability of diagnoses that is inherent in standard histopathological and other spectral methods. In addition, a method for correcting confounding spectral contributions that are frequently observed in microscopically acquired infrared spectra of cells and tissue includes performing a phase correction on the spectral data. This phase correction method may be used to correct various types of absorption spectra that are contaminated by reflective components.

公开(公告)号：US09322768B1

公开(公告)日：2016-04-26

申请号：US13796166

申请日：2013-03-12

Applicant: U.S. Army Research Development and Engineering Command

Inventor： Arthur H. Carrieri ,  Tudor N. Buican ,  Erik S. Roese ,  James Sutter ,  Alan C. Samuels

IPC: G01N21/23 ,  G01N21/27 ,  G01N21/71

CPC classification number: G01N21/27 ,  G01B9/02 ,  G01J3/0205 ,  G01J3/0208 ,  G01J3/0224 ,  G01J3/0286 ,  G01J3/0291 ,  G01J3/447 ,  G01J3/45 ,  G01J3/453 ,  G01J3/4537 ,  G01N21/31 ,  G01N21/71 ,  G01N21/94 ,  G01N2201/1296 ,  G05B13/027

Abstract: A pseudo-active chemical imaging sensor including irradiative transient heating, temperature nonequilibrium thermal luminescence spectroscopy, differential hyperspectral imaging, and artificial neural network technologies integrated together. The sensor may be applied to the terrestrial chemical contamination problem, where the interstitial contaminant compounds of detection interest (analytes) comprise liquid chemical warfare agents, their various derivative condensed phase compounds, and other material of a life-threatening nature. The sensor measures and processes a dynamic pattern of absorptive-emissive middle infrared molecular signature spectra of subject analytes to perform its chemical imaging and standoff detection functions successfully.

Abstract translation: 包括辐射瞬态加热，温度非平衡热发光光谱，差分高光谱成像以及人工神经网络技术相结合的伪活性化学成像传感器。 传感器可以应用于陆地化学污染问题，其中检测感兴趣的间质污染化合物（分析物）包括液体化学战剂，它们的各种衍生物凝聚相化合物和其他具有危及生命的物质的物质。 传感器测量和处理主题分析物的吸收发射中红外分子特征谱的动态模式，以成功实现其化学成像和对位检测功能。

公开(公告)号：US09228892B2

公开(公告)日：2016-01-05

申请号：US14737622

申请日：2015-06-12

Applicant: PD-LD, Inc.

Inventor： Boris Leonidovich Volodin ,  Vladimir Sinisa Ban

IPC: G01J3/00 ,  G01J3/10 ,  H01S5/40 ,  H01S5/00 ,  H01S5/32 ,  G01J3/44 ,  G01J3/18

CPC classification number: G01J3/0256 ,  G01J3/00 ,  G01J3/10 ,  G01J3/1895 ,  G01J3/44 ,  G01J3/4412 ,  G01J2003/104 ,  G01N21/65 ,  G01N21/658 ,  G01N2021/1793 ,  G01N2201/0221 ,  G01N2201/129 ,  G01N2201/1296 ,  G02B6/29319 ,  H01S5/005 ,  H01S5/32 ,  H01S5/4012 ,  H01S5/4087

Abstract: Apparatus for performing Raman spectroscopy may include a first laser source having a first emission wavelength and a second laser source having a second emission wavelength. A separation between the first and second emission wavelengths may correspond to a width of a Raman band of a substance of interest. A switch may provide switching between the first and second laser sources. An ensemble of laser emitters may be provided. A Bragg grating element may receive laser light from the ensemble. An optical system may direct light from the Bragg grating element into an optical fiber. A combined beam through the optical fiber may contain light from each of the emitters.

Abstract translation: 用于执行拉曼光谱的装置可以包括具有第一发射波长的第一激光源和具有第二发射波长的第二激光源。 第一和第二发射波长之间的间隔可以对应于感兴趣物质的拉曼带的宽度。 开关可以提供第一和第二激光源之间的切换。 可以提供激光发射器的组合。 布拉格光栅元件可以接收来自集合体的激光。 光学系统可以将来自布拉格光栅元件的光引导到光纤中。 通过光纤的组合光束可以包含来自每个发射器的光。

公开(公告)号：US20150323471A1

公开(公告)日：2015-11-12

申请号：US14708058

申请日：2015-05-08

Applicant: KLA-Tencor Corporation

Inventor： Noam Sapiens ,  Andrei V. Shchegrov ,  Stilian Ivanov Pandev

IPC: G01N21/956 ,  G01N21/95 ,  G01N21/93 ,  G01B11/00

CPC classification number: G01N21/93 ,  G01B2210/56 ,  G01N21/4788 ,  G01N21/9501 ,  G01N21/95607 ,  G01N2201/06113 ,  G01N2201/062 ,  G01N2201/10 ,  G01N2201/1296

Abstract: In one embodiment, apparatus and methods for determining a parameter of a target are disclosed. A target having an imaging structure and a scatterometry structure is provided. An image of the imaging structure is obtained with an imaging channel of a metrology tool. A scatterometry signal is also obtained from the scatterometry structure with a scatterometry channel of the metrology tool. At least one parameter, such as overlay error, of the target is determined based on both the image and the scatterometry signal.

Abstract translation: 在一个实施例中，公开了用于确定目标的参数的装置和方法。 提供具有成像结构和散射测量结构的目标。 使用计量工具的成像通道获得成像结构的图像。 散射测量信号也通过散度仪结构与计量工具的散射测量通道获得。 基于图像和散射测量信号确定目标的至少一个参数，例如重叠误差。

公开(公告)号：US20140377795A1

公开(公告)日：2014-12-25

申请号：US14367060

申请日：2012-12-19

Applicant: OPTICUL DIAGNOSTICS LTD. ,  OPTICUL DIAGNOSTICS Inc.

Inventor： Gallya Gannot ,  Dror Lederman ,  Moinuddin Hassan ,  Israel Gannot

IPC: C12Q1/04 ,  G01N21/65 ,  G01N21/25

CPC classification number: C12Q1/04 ,  C12M41/36 ,  G01N21/255 ,  G01N21/3577 ,  G01N21/39 ,  G01N21/64 ,  G01N21/65 ,  G01N2021/1742 ,  G01N2021/1744 ,  G01N2021/3595 ,  G01N2021/6417 ,  G01N2201/06113 ,  G01N2201/129 ,  G01N2201/1296 ,  G06F19/10

Abstract: A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRSA from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.

Abstract translation: 公开了用于光谱检测和鉴定培养细菌的光谱方法。 该方法包括来自怀疑含有所述细菌的培养样品的至少一个数据集的构建，其可以是光谱，干涉图案或散射图案。 对样品中水的存在进行数据集的校正，使用主成分分析提取光谱特征，并使用学习算法对特征进行分类。 在本发明的一些实施方案中，例如为了区分MRSA和MSSA，进行多模态分析，其中基于样品的光谱，用于确定细胞壁厚度的干涉图案和散射来确定细菌的鉴定 用于确定细胞壁粗糙度的图案。 还公开了一种用于执行该方法的装置，其一个实施例包括多个样本分析器。