公开(公告)号：US07755757B2

公开(公告)日：2010-07-13

申请号：US12206467

申请日：2008-09-08

Applicant: John Maier ,  Jeffrey Cohen ,  Shona Stewart

Inventor： John Maier ,  Jeffrey Cohen ,  Shona Stewart

IPC: G01J3/44 ,  G01N21/65

CPC classification number: G01J3/10 ,  A61B5/0071 ,  A61B5/0075 ,  A61B5/417 ,  A61B5/7264 ,  G01J3/02 ,  G01J3/0291 ,  G01J3/0294 ,  G01J3/2823 ,  G01J3/32 ,  G01J3/44 ,  G01J2003/2826 ,  G01N21/65 ,  G01N21/658 ,  G01N2021/656 ,  G01N2201/1293 ,  G01N2201/1296 ,  G02B21/365 ,  G06F19/00 ,  G16H50/70

Abstract: A system and method to provide a diagnosis of the renal disease state of a test renal sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known renal sample and an associated known renal disease state. A test renal sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test Raman data set. The test Raman data set is compared to the plurality of reference Raman data sets using a chemometric technique. Based on the comparison, a diagnosis of a renal disease state of the test renal sample is provided. The renal disease state includes renal oncocytoma or chromophobe renal carcinoma disease state.

Abstract translation: 一种用于提供测试肾脏样本的肾脏疾病状态诊断的系统和方法。 提供了包含多个参考拉曼数据集的数据库，其中每个参考拉曼数据集具有相关联的已知肾脏样本和相关联的已知肾病状态。 用基本单色光照射测试肾脏样品，以产生散射光子，得到测试拉曼数据集。 使用化学计量技术将测试拉曼数据集与多个参考拉曼数据集进行比较。 基于比较，提供了测试肾脏样本的肾脏疾病状态的诊断。 肾脏疾病状态包括肾细胞瘤或发色团肾癌疾病状态。

公开(公告)号：US20100171043A1

公开(公告)日：2010-07-08

申请号：US12663255

申请日：2008-05-29

Applicant: Conor Burke ,  John Moore

Inventor： Conor Burke ,  John Moore

IPC: G01N21/64

CPC classification number: G01N21/6408 ,  A61B5/0873 ,  G01N21/643 ,  G01N21/783 ,  G01N21/80 ,  G01N21/81 ,  G01N33/0037 ,  G01N33/004 ,  G01N33/0054 ,  G01N2021/6432 ,  G01N2021/6441 ,  G01N2201/0625 ,  G01N2201/1296 ,  Y02A50/245 ,  Y02A50/246

Abstract: An analyte sensor is described. The sensor employs a single sensor element which provides a plurality of phase outputs in response to excitation by a modulated excitation source. The plurality of phase outputs may be analysed to provide information on the presence of one or more analytes.

Abstract translation: 描述了分析物传感器。 传感器采用单个传感器元件，其响应于调制激励源的激励而提供多个相位输出。 可以分析多个相位输出以提供关于一种或多种分析物的存在的信息。

公开(公告)号：US20080273199A1

公开(公告)日：2008-11-06

申请号：US12070010

申请日：2008-02-14

Applicant: John Maier ,  Jeffrey Cohen ,  Janice L. Panza ,  Amy J. Drauch

Inventor： John Maier ,  Jeffrey Cohen ,  Janice L. Panza ,  Amy J. Drauch

IPC: G01J3/44

CPC classification number: G01N21/65 ,  G01J3/02 ,  G01J3/0291 ,  G01J3/0294 ,  G01J3/2823 ,  G01J3/44 ,  G01J2003/2826 ,  G01N2021/656 ,  G01N2201/1293 ,  G01N2201/1296

Abstract: A system and method to predict the progression of disease of a test sample. A group of known biological samples is provided. Each known biological sample has an associated known outcome including a non-diseased sample or a diseased sample. A Raman data set is obtained for each known biological sample. Each Raman data set is analyzed to identify a diseased or non-diseased reference Raman data set depending on whether respective biological sample is the non-diseased sample or the diseased sample. A first database is generated where the first database contains reference Raman data sets for all diseased samples. A second database is generated where the second database contains reference Raman data sets for all non-diseased samples. A test Raman data set of a test biological sample is received, where the test biological sample has an unknown disease status. A diagnostic is provided as to whether the test sample is a non-diseased sample or a diseased sample. The diagnostic is obtained by comparing the test Raman data set against the reference Raman data sets in the first and the second databases using a chemometric technique. A prediction of the progression of disease may be then provided.

Abstract translation: 一种预测测试样本疾病进展的系统和方法。 提供了一组已知的生物样品。 每个已知的生物样品具有相关的已知结果，包括非患病样品或患病样品。 获得每个已知生物样品的拉曼数据集。 分析每个拉曼数据集，以根据相应的生物样品是非患病样品还是患病样品来鉴定患病或非患病参考拉曼数据集。 生成第一个数据库，其中第一个数据库包含所有患病样本的参考拉曼数据集。 生成第二数据库，其中第二数据库包含所有非患病样本的参考拉曼数据集。 接受测试生物样品的测试拉曼数据集，其中测试生物样品具有未知的疾病状态。 提供了关于测试样品是否是非患病样品或患病样品的诊断。 通过使用化学计量技术将测试拉曼数据集与第一和第二数据库中的参考拉曼数据集进行比较来获得诊断。 可以提供疾病进展的预测。

公开(公告)号：US07190457B2

公开(公告)日：2007-03-13

申请号：US10758318

申请日：2004-01-13

Applicant: Mary Elizabeth Tabacco ,  Marc W Mittelman ,  J. Anthony Schanzie

Inventor： Mary Elizabeth Tabacco ,  Marc W Mittelman ,  J. Anthony Schanzie

IPC: G01N21/25

CPC classification number: G01N21/8422 ,  G01N17/008 ,  G01N21/6428 ,  G01N21/645 ,  G01N21/763 ,  G01N21/8507 ,  G01N2021/6441 ,  G01N2021/6482 ,  G01N2021/6484 ,  G01N2021/8411 ,  G01N2021/8528 ,  G01N2201/0846 ,  G01N2201/1296

Abstract: Real time biofilm monitoring systems are provided. Said systems comprise single or multiple fiber-optic probes detecting wavelength-specific fluorescence from biomarkers of fouling organisms; a compact optoelectronic interface and data acquisition system interfaced with said probes, wherein said probe or probes are bifurcated and contain at least one excitation and at least one emission filter permitting the simultaneous resolution of multiple biomarkers.

Abstract translation: 提供实时生物膜监测系统。 所述系统包括检测来自污染生物体的生物标志物的波长特异性荧光的单个或多个光纤探针; 与所述探针接口的紧凑型光电接口和数据采集系统，其中所述探针或探针分叉并且包含至少一个激发和至少一个允许同时分辨多个生物标志物的发射过滤器。

公开(公告)号：US20050027482A1

公开(公告)日：2005-02-03

申请号：US10856883

申请日：2004-06-01

Applicant: Mokhtar Benaoudia ,  Feng Ding ,  Pierre Bedard ,  Claude Lejeune ,  Philippe Gagne ,  Michel Bouchard ,  Bernard Doyon ,  Robert Lanouette

Inventor： Mokhtar Benaoudia ,  Feng Ding ,  Pierre Bedard ,  Claude Lejeune ,  Philippe Gagne ,  Michel Bouchard ,  Bernard Doyon ,  Robert Lanouette

IPC: G01N21/55 ,  B07C5/14 ,  B07C5/342 ,  G01N21/25 ,  G01N21/3554 ,  G01N21/85 ,  G01N21/898 ,  G01N33/34 ,  G01N33/46 ,  G06F11/30

CPC classification number: B07C5/14 ,  G01J3/462 ,  G01N21/25 ,  G01N21/3554 ,  G01N21/3563 ,  G01N21/359 ,  G01N21/55 ,  G01N21/85 ,  G01N21/8986 ,  G01N33/343 ,  G01N33/46 ,  G01N2201/1296 ,  Y10T428/31957

Abstract: A method for estimating the quality of wood chips for use in a pulp and paper production process includes estimating a plurality of wood chip quality-related properties characterizing the wood chips, and associating with these properties a plurality of corresponding wood chip property-related quality indexes. A wood chip quality model combining the wood chip property-related quality indexes is used to generate a resulting chip quality index. The properties may include wood species composition, size distribution, impurities content, moisture content and freshness characterizing the wood chips.

Abstract translation: 用于纸浆和纸张生产过程中用于估计木片质量的方法包括估计木片的多个木质素质量相关性质，并且与这些特性相关联地具有多个相应的木屑性质相关的质量指标 。 结合木材性能相关质量指标的木屑质量模型，用于生成芯片质量指标。 这些性质可以包括木材种类组成，尺寸分布，杂质含量，水分含量和表征木片的新鲜度。

公开(公告)号：US20040133086A1

公开(公告)日：2004-07-08

申请号：US10657657

申请日：2003-09-08

Inventor： Emil W. Ciurczak ,  Gary Ritchie

IPC: A61B005/00

CPC classification number: G01J3/12 ,  A61B5/0022 ,  A61B5/14532 ,  A61B5/14546 ,  A61B5/1455 ,  A61B5/14551 ,  G01J3/021 ,  G01J3/0229 ,  G01J3/0232 ,  G01J3/0254 ,  G01J3/0256 ,  G01J3/0264 ,  G01J3/08 ,  G01J3/1256 ,  G01J3/18 ,  G01J3/26 ,  G01J2003/1226 ,  G01J2003/1243 ,  G01N21/359 ,  G01N21/474 ,  G01N2021/1744 ,  G01N2021/4757 ,  G01N2201/0221 ,  G01N2201/065 ,  G01N2201/1293 ,  G01N2201/1296 ,  G16H40/67 ,  Y02A90/26

Abstract: A system for predicting blood constituent values in a patient includes a remote wireless non-invasive spectral device, the remote wireless non-invasive spectral device generating a spectral scan of a body part of the patient. Also included are a remote invasive device and a central processing device. The remote invasive device generates a constituent value for the patient, while the central processing device predicts a blood constituent value for the patient based upon the spectral scan and the constituent value.

Abstract translation: 用于预测患者中血液成分值的系统包括远程无线非侵入性光谱装置，所述远程无线非侵入光谱装置产生患者身体部位的光谱扫描。 还包括远程侵入性装置和中央处理装置。 远程侵入性装置生成患者的构成值，而中央处理装置基于光谱扫描和构成值预测患者的血液成分值。

公开(公告)号：US06529276B1

公开(公告)日：2003-03-04

申请号：US09286881

申请日：1999-04-06

Applicant: Michael L. Myrick

Inventor： Michael L. Myrick

IPC: G01N2125

CPC classification number: G06N3/067 ,  G01J3/02 ,  G01J3/0297 ,  G01J3/18 ,  G01J3/28 ,  G01J3/42 ,  G01J3/51 ,  G01J2003/1213 ,  G01J2003/1226 ,  G01J2003/467 ,  G01N21/31 ,  G01N2201/1293 ,  G01N2201/1296 ,  G02B6/29361 ,  G02B6/29395 ,  G02B6/4215

Abstract: In optical filter systems and optical transmission systems, an optical filter compresses data into and/or derives data from a light signal. The filter way weight an incident light signal by wavelength over a predetermined wavelength range according to a predetermined function so that the filter performs the dot product of the light signal and the function.

公开(公告)号：US06389408B1

公开(公告)日：2002-05-14

申请号：US09343621

申请日：1999-06-30

Applicant: Arthur H. Carrieri

Inventor： Arthur H. Carrieri

IPC: G06F9445

CPC classification number: G01N21/21 ,  G01J4/04 ,  G01N2021/1793 ,  G01N2021/4792 ,  G01N2201/1296 ,  G06K9/66

Abstract: A neural network pattern recognition system for remotely sensing and identifying chemical and biological materials having a software component having an adaptive gradient descent training algorithm capable of performing backward-error-propagation and an input layer that is formatted to accept differential absorption Mueller matrix spectroscopic data, a filtering weight matrix component capable of filtering pattern recognition from Mueller data for specific predetermined materials and a processing component capable of receiving the pattern recognition from the filtering weight matrix component and determining the presence of specific predetermined materials. A method for sensing and identifying chemical and biological materials also is disclosed.

Abstract translation: 一种用于远程感测和识别化学和生物材料的神经网络模式识别系统，其具有具有能够执行向后错误传播的自适应梯度下降训练算法的软件组件和被格式化以接受差分吸收Mueller矩阵光谱数据的输入层， 能够从特定预定材料的Mueller数据中过滤模式识别的滤波权重矩阵分量，以及能够从滤波权重矩阵分量接收模式识别并确定特定预定材料的存在的处理部件。 公开了用于感测和识别化学和生物材料的方法。

公开(公告)号：US20240344996A1

公开(公告)日：2024-10-17

申请号：US18743050

申请日：2024-06-13

Applicant: SirenOpt Inc.

Inventor： Ali MESBAH ,  Jared O'LEARY

IPC: G01N21/73

CPC classification number: G01N21/73 ,  G01N2201/1296

Abstract: A system to collect sensor data from an interaction between a plasma and a material and use a machine learning system to characterize the material. A method and apparatus for characterizing and evaluating a material. The method includes in one embodiment applying a cold atmospheric plasma to an interface with the material, measuring a plurality of interactions between the plasma and the interface using a plurality of sensors to generate sensor data, and utilizing a trained machine learning model to analyze the sensor data to generate characterization of the bulk and/or surface material properties based on the interactions.

公开(公告)号：US12066433B2

公开(公告)日：2024-08-20

申请号：US17686802

申请日：2022-03-04

Applicant: SYSMEX CORPORATION ,  OSAKA UNIVERSITY ,  NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY

Inventor： Masaya Okada ,  Yuki Shimaoka ,  Shigeki Iwanaga ,  Kazuki Bando ,  Katsumasa Fujita ,  Yasunori Nawa ,  Satoshi Fujita

IPC: G01N21/65 ,  G01N21/25 ,  G01N21/31 ,  G01N33/543 ,  G01N33/58 ,  G01N33/68 ,  G06N3/08 ,  G16C20/20 ,  G16C20/70

CPC classification number: G01N33/54353 ,  G01N21/255 ,  G01N21/314 ,  G01N21/658 ,  G01N33/54346 ,  G01N33/588 ,  G01N33/6812 ,  G06N3/08 ,  G16C20/20 ,  G01N2201/121 ,  G01N2201/1296 ,  G16C20/70

Abstract: Disclosed is an analytical method for analyzing a test substance contained in a measurement sample, the method comprising: generating a data set based on a plurality of optical spectra acquired from a plurality of locations in the measurement sample; inputting the data set into a deep learning algorithm having a neural network structure; and outputting information on the test substance, on the basis of an analytical result from the deep learning algorithm.