公开(公告)号：US09672331B2

公开(公告)日：2017-06-06

申请号：US14109926

申请日：2013-12-17

Applicant: Alltech, Inc.

Inventor： Kyle McKinney ,  Allyson Lovell ,  Benjamin Henry ,  Patrick Becker ,  Rebecca A. Timmons

IPC: G01N33/48 ,  G01N33/50 ,  G06F19/00 ,  G01N21/359 ,  A23K10/14 ,  A23K50/75 ,  A23K50/30 ,  G01N21/68

CPC classification number: G06F19/704 ,  A23K10/14 ,  A23K50/30 ,  A23K50/75 ,  G01N21/359 ,  G01N21/68 ,  G01N2201/129 ,  G06F19/00 ,  G06F19/703 ,  G06F19/707 ,  G16H50/50

Abstract: The present application provides systems and methods for analyzing animal feeds and for adjusting animal feeds to improve the digestibility of animal feed components. Digestibility of animal feed can be determined by performing in vitro digestion of the feed and analyzing concentrations of residual components in the digested feed by NIR spectroscopy. Animal feed compositions can be adjusted to improve digestibility of components in the feed. The systems and methods of the present application can be used to determine the effect of an additive on the digestibility of feed.

公开(公告)号：US09618651B2

公开(公告)日：2017-04-11

申请号：US14038622

申请日：2013-09-26

Applicant: PANalytical Inc

Inventor： Daniel A. Shiley ,  Brian Curtiss

IPC: G01V13/00 ,  G01N33/24 ,  G01N21/3563 ,  G01N21/359 ,  G01N21/65 ,  G01N21/71 ,  G01N21/17 ,  G01N21/35

CPC classification number: G01V13/00 ,  G01N21/3563 ,  G01N21/359 ,  G01N21/65 ,  G01N21/718 ,  G01N23/223 ,  G01N33/24 ,  G01N2021/1734 ,  G01N2021/1736 ,  G01N2021/3595 ,  G01N2201/127 ,  G01N2201/129 ,  G01N2223/3037 ,  G01N2223/616

Abstract: Systems and methods for analyzing an unknown geological sample are disclosed. The system may include at least two analytical subsystems, and each of the at least two analytical subsystems provides different information about the geological sample. The data sets from various analytic subsystems are combined for further analysis, and the system includes a chemometric calibration model that relates geological attributes from analytical data previously obtained from at least two analytical techniques. A prediction engine applies the chemometric calibration model to the combined analytical information from the geological sample to predict specific geological attributes in the unknown geological sample.

公开(公告)号：US09610018B2

公开(公告)日：2017-04-04

申请号：US15233474

申请日：2016-08-10

Applicant: Zyomed Corp.

Inventor： Sandeep Gulati ,  Timothy L. Ruchti ,  John L. Smith

IPC: G01J5/02 ,  A61B5/024 ,  G01N21/3577 ,  G01N21/359 ,  G01N21/49 ,  G01N33/483 ,  G01N33/49 ,  A61B5/145 ,  A61B5/1455 ,  A61B5/1495 ,  A61B5/00

CPC classification number: A61B5/14532 ,  A61B5/0075 ,  A61B5/024 ,  A61B5/02416 ,  A61B5/02433 ,  A61B5/14546 ,  A61B5/1455 ,  A61B5/1495 ,  A61B5/7203 ,  A61B5/7235 ,  A61B5/7253 ,  A61B5/7264 ,  A61B5/7267 ,  A61B2560/0223 ,  G01N21/3577 ,  G01N21/359 ,  G01N21/4795 ,  G01N21/49 ,  G01N33/4833 ,  G01N33/49 ,  G01N2201/0612 ,  G01N2201/062 ,  G01N2201/067 ,  G01N2201/12 ,  G01N2201/129

Abstract: In a noninvasive system for measurement of heart rate and other heart-related characteristics a photoplethysmogram (PPG) obtained from a tissue is divided into several feature waveforms, each corresponding to a PPG window of a particular length. Conditioned features, containing frequency components specific to heart-related events, are derived from the features by modulating a carrier kernel with such features. The conditioned features are computationally collided with one or more Zyotons that are co-dependent with the conditioned features. For each conditioned feature, one or more collisions selectively amplify frequency components in features sourced from PPG, and respective energy change values are obtained from such amplified energy portions. The resulting energy change values are analyzed to determine a smallest time-window likely containing heart rate and other heart-related events in the PPG data stream. Over time, the detected events are grouped and analyzed to determine heart rate and other heart-related characteristics.

公开(公告)号：US09606056B2

公开(公告)日：2017-03-28

申请号：US14309771

申请日：2014-06-19

Applicant: CANON KABUSHIKI KAISHA

Inventor： Chao Liu ,  Sandra Skaff

IPC: G01N21/55 ,  G06N99/00 ,  G06K9/20 ,  G06K9/62

CPC classification number: G01N21/55 ,  G01N2201/0627 ,  G01N2201/129 ,  G06K9/2018 ,  G06K9/209 ,  G06K9/628 ,  G06N99/005

Abstract: Material classification using multiplexed illumination by broadband spectral light from multiple different incident angles, coupled with multi-spectral narrow band spectral measurement of light reflected from the illuminated object of unknown material, wherein selection of spectral bands for illumination or for narrow-band capture may comprise analysis of a database of labeled training material samples within a multi-class classification framework, captured using a relatively large number of spectral bands (such as 32 spectral bands), so as to select a subset of a relatively fewer number of spectral bands (such as 5 spectral bands), wherein the selected spectral bands in the subset retain a significant aptitude for distinguishing between different classifications of materials.

公开(公告)号：US20170059475A1

公开(公告)日：2017-03-02

申请号：US14834491

申请日：2015-08-25

Applicant: Jun Zhao ,  Xin Jack Zhou

Inventor： Jun Zhao ,  Xin Jack Zhou

IPC: G01N21/25

CPC classification number: G01N21/65 ,  G01J3/28 ,  G01N2201/129

Abstract: A system and method for determining the composition of a sample is provided. The system and method according to the present invention comprises: obtaining one or more spectra of the sample; obtaining one or more spectra of one or more target materials; pre-process the sample and the target spectra; providing a variable reduction means that combines certain contiguous spectral variables into a single variable, wherein the intensities of the said single variable is the sum of the intensities of the said spectral variables to be combined; determining an average spectrum and the statistic distribution of the sample and/or each of the target material in the reduced dimension; determining the likelihood the sample had the same composition of each of the one or more target material; and displaying the list of the most likely target material to a user.

Abstract translation: 提供了一种用于确定样品组成的系统和方法。 根据本发明的系统和方法包括：获得样品的一个或多个光谱; 获得一个或多个目标材料的一个或多个光谱; 预处理样品和目标光谱; 提供将某些连续频谱变量组合成单个变量的变量减少装置，其中所述单个变量的强度是要组合的所述频谱变量的强度的总和; 确定所述样本和/或所述目标材料中的每个所述目标材料的平均光谱和统计分布; 确定样品具有一种或多种目标材料中每种具有相同组成的可能性; 并向用户显示最可能的目标材料的列表。

公开(公告)号：US09582877B2

公开(公告)日：2017-02-28

申请号：US14508911

申请日：2014-10-07

Applicant: Cellular Research, Inc.

Inventor： Glenn Fu ,  Roger Rudoff ,  David Stern ,  George T. Wu ,  Stephen P. A. Fodor ,  Geoffrey Facer

IPC: G06K9/00 ,  G06T7/00 ,  G01N21/27 ,  G01N21/64 ,  G06T7/20

CPC classification number: G06T7/0012 ,  G01N21/274 ,  G01N21/6428 ,  G01N21/6452 ,  G01N21/6456 ,  G01N2021/6439 ,  G01N2201/129 ,  G06K9/6267 ,  G06T7/277 ,  G06T2207/10056 ,  G06T2207/10064 ,  G06T2207/30072 ,  G06T2207/30242

Abstract: Methods, systems and platforms for digital imaging of multiple regions of an array, and detection and counting of the labeled features thereon, are described.

Abstract translation: 描述了用于阵列的多个区域的数字成像的方法，系统和平台以及其上的标记特征的检测和计数。

公开(公告)号：US09501827B2

公开(公告)日：2016-11-22

申请号：US14727514

申请日：2015-06-01

Applicant: Yousheng Zeng ,  Jonathan M. Morris ,  Hazem M. Abdelmoati

Inventor： Yousheng Zeng ,  Jonathan M. Morris ,  Hazem M. Abdelmoati

IPC: G06K9/34 ,  G06T7/00 ,  G01N21/3504 ,  G01M3/38 ,  G01N21/31 ,  G01J3/28 ,  G01J3/36 ,  G01J3/42 ,  G01M3/04 ,  G06K9/40 ,  G06K9/62

CPC classification number: G06T7/32 ,  G01J3/28 ,  G01J3/2803 ,  G01J3/36 ,  G01J3/42 ,  G01M3/04 ,  G01M3/38 ,  G01N21/274 ,  G01N21/314 ,  G01N21/3504 ,  G01N2021/3177 ,  G01N2021/3531 ,  G01N2201/06113 ,  G01N2201/068 ,  G01N2201/129 ,  G01S5/021 ,  G01S5/0236 ,  G02B5/208 ,  G02B27/106 ,  G06K9/40 ,  G06K9/6201 ,  G06K9/6289 ,  G06T2207/20224

Abstract: Methods and systems for detecting at least one chemical species including obtaining a first image from a first electromagnetic radiation detector and obtaining a second image from a second electromagnetic radiation detector. The first image includes a first plurality of pixels and the second image includes a second plurality of pixels, each pixel having an associated intensity value. A first resultant image is generated. The first resultant image includes a plurality of resultant pixels, each pixel having an associated intensity value. One or more regions of interest are determined. The correlation between the first image, the second image, and the first resultant image is determined for the one or more regions of interest using a correlation coefficient algorithm to calculate a first correlation coefficient and a second correlation coefficient. The presence of the chemical species is determined based, at least in part, on the first correlation coefficient and the second correlation coefficient.

Abstract translation: 用于检测至少一种化学物质的方法和系统，包括从第一电磁辐射检测器获得第一图像并从第二电磁辐射检测器获得第二图像。 第一图像包括第一多个像素，并且第二图像包括第二多个像素，每个像素具有相关联的强度值。 生成第一个合成图像。 第一合成图像包括多个合成像素，每个像素具有相关联的强度值。 确定感兴趣的一个或多个区域。 使用相关系数算法，针对一个或多个感兴趣区域确定第一图像，第二图像和第一合成图像之间的相关性，以计算第一相关系数和第二相关系数。 至少部分地基于第一相关系数和第二相关系数确定化学物质的存在。

公开(公告)号：US09494567B2

公开(公告)日：2016-11-15

申请号：US14650897

申请日：2013-12-17

Applicant: OMNI MEDSCI, INC.

Inventor： Mohammed N. Islam

IPC: G01J3/00 ,  G01N33/15 ,  A61B5/1455 ,  A61B5/00 ,  G01J3/10 ,  G01J3/28 ,  G01J3/453 ,  G01N21/359 ,  A61B5/145 ,  G01N33/49 ,  H01S3/30 ,  G01J3/14 ,  G01J3/18

CPC classification number: A61B5/0088 ,  A61B5/0013 ,  A61B5/0022 ,  A61B5/0075 ,  A61B5/0086 ,  A61B5/14532 ,  A61B5/14546 ,  A61B5/1455 ,  A61B5/4547 ,  A61B5/6801 ,  A61B5/7257 ,  A61B5/7405 ,  A61B5/742 ,  A61B2562/0233 ,  A61B2562/0238 ,  A61B2562/146 ,  A61B2576/02 ,  G01J3/0218 ,  G01J3/108 ,  G01J3/14 ,  G01J3/1838 ,  G01J3/28 ,  G01J3/2823 ,  G01J3/42 ,  G01J3/453 ,  G01J2003/104 ,  G01J2003/1208 ,  G01J2003/2826 ,  G01M3/38 ,  G01N21/35 ,  G01N21/3563 ,  G01N21/359 ,  G01N21/39 ,  G01N21/85 ,  G01N21/88 ,  G01N21/9508 ,  G01N33/02 ,  G01N33/025 ,  G01N33/15 ,  G01N33/442 ,  G01N33/49 ,  G01N2021/3595 ,  G01N2021/399 ,  G01N2201/061 ,  G01N2201/06113 ,  G01N2201/062 ,  G01N2201/08 ,  G01N2201/12 ,  G01N2201/129 ,  G06F19/00 ,  G16H40/67 ,  H01S3/0092 ,  H01S3/06758 ,  H01S3/302

Abstract: Non-invasive monitoring of blood constituents such as glucose, ketones, or hemoglobin A1c may be accomplished using near-infrared or short-wave infrared (SWIR) light sources through absorbance, diffuse reflection, or transmission spectroscopy. As an example, hydro-carbon related substances such as glucose or ketones have distinct spectral features in the SWIR between approximately 1500 and 2500 nm. An SWIR super-continuum laser based on laser diodes and fiber optics may be used as the light source for the non-invasive monitoring. Light may be transmitted or reflected through a tooth, since an intact tooth and its enamel and dentine may be nearly transparent in the SWIR. Blood constituents or analytes within the capillaries in the dental pulp may be detected. The non-invasive monitoring device may communicate with a device such as a smart phone or tablet, which may transmit a signal related to the measurement to the cloud with cloud-based value-added services.

Abstract translation: 通过吸收，漫反射或透射光谱可以使用近红外或短波红外（SWIR）光源实现对血液成分如葡萄糖，酮或血红蛋白A1c的非侵入性监测。 作为示例，水 - 碳相关物质如葡萄糖或酮在SWIR中在约1500和2500nm之间具有不同的光谱特征。 可以使用基于激光二极管和光纤的SWIR超连续激光器作为非侵入性监测的光源。 光可以通过牙齿传播或反射，因为完整的牙齿及其牙釉质和牙质在SWIR中可能几乎是透明的。 可以检测牙髓中毛细血管内的血液成分或分析物。 非侵入式监测设备可以与诸如智能电话或平板电脑的设备进行通信，智能电话或平板电脑可以使用基于云的增值业务将与测量相关的信号传输到云。

公开(公告)号：US20160290919A1

公开(公告)日：2016-10-06

申请号：US15090189

申请日：2016-04-04

Applicant: JP3 Measurement, LLC

Inventor： Jie Zhu ,  William Howard ,  Randy Bishop

IPC: G01N21/359 ,  G01N33/28 ,  G01N33/22 ,  G06F17/30

CPC classification number: G01N21/359 ,  G01N33/225 ,  G01N33/28 ,  G01N2201/10 ,  G01N2201/12 ,  G01N2201/129 ,  G01N2201/13 ,  G06F16/24575 ,  G06F16/5838

Abstract: An improved method and system for analyzing multistate fluids using NIR spectroscopy. If the sample to be tested resides in a single state condition, the configuration file used in spectroscopic analysis will only be applied against a single model. However, if the sample to be tested is in a multi-state environment, an algorithm determines which model set of a plurality of model sets should be utilized based on the sample characteristics, and the configuration file used in spectroscopic analysis will be applied against the selected model. Results are generated showing the designated parameters.

Abstract translation: 一种改进的使用NIR光谱分析多态流体的方法和系统。 如果要测试的样本处于单一状态，则光谱分析中使用的配置文件将仅适用于单个模型。 然而，如果要测试的样本处于多状态环境中，则算法基于样本特征确定应该使用多个模型集合的哪个模型集合，并且将在光谱分析中使用的配置文件应用于 选择型号。 生成显示指定参数的结果。

公开(公告)号：US09459203B2

公开(公告)日：2016-10-04

申请号：US14993905

申请日：2016-01-12

Applicant: Zyomed Corp.

Inventor： Sandeep Gulati ,  Timothy L. Ruchti ,  William Van Antwerp ,  John L. Smith

IPC: G01J5/02 ,  G01N21/3577 ,  A61B5/024 ,  G01N21/359 ,  G01N21/47 ,  G01N21/49 ,  G01N33/49 ,  A61B5/00 ,  A61B5/145 ,  A61B5/1455 ,  A61B5/1495

CPC classification number: A61B5/14532 ,  A61B5/0075 ,  A61B5/024 ,  A61B5/02416 ,  A61B5/02433 ,  A61B5/14546 ,  A61B5/1455 ,  A61B5/1495 ,  A61B5/7203 ,  A61B5/7235 ,  A61B5/7253 ,  A61B5/7264 ,  A61B5/7267 ,  A61B2560/0223 ,  G01N21/3577 ,  G01N21/359 ,  G01N21/4795 ,  G01N21/49 ,  G01N33/4833 ,  G01N33/49 ,  G01N2201/0612 ,  G01N2201/062 ,  G01N2201/067 ,  G01N2201/12 ,  G01N2201/129

Abstract: A synthetic projection system determines analyte concentration, such as blood glucose concentration, from a spectral-energy change associated with an uncharacterized instance of a medium in which the analyte is likely present. The projection system is factory calibrated for different instances of the medium, without needing instance-specific training or calibration. The projection system includes a set of projector curves, each relating spectral-energy change values obtained by analyzing reference medium samples to analyte concentrations in those samples. Each projector curve also corresponds to a respective range of energy-change gradients, determined using a group of surrogate media characterized according to analyte concentrations measured using a reference system. A spectral-energy-change gradient for the uncharacterized medium may be computed to select one of the projectors curves. Analyte concentration in the uncharacterized medium can be reliably computed at a specified high level of accuracy using the spectral-energy change associated therewith and the selected curve.

Abstract translation: 合成投影系统从与可能存在分析物的介质的非特征实例相关联的光谱能量变化来确定分析物浓度，例如血糖浓度。 投影系统在不同实例的介质下进行出厂校准，无需实例特定的训练或校准。 投影系统包括一组投影仪曲线，每个投影仪曲线都将通过分析参考介质样品获得的光谱能量变化值与这些样品中的分析物浓度相关联。 每个投影仪曲线也对应于能量变化梯度的相应范围，使用一组代用介质，其特征在于使用参考系统测量的分析物浓度。 可以计算未表征介质的光谱能量变化梯度以选择投影仪曲线之一。 使用与其相关联的光谱能量变化和所选择的曲线，可以以指定的高精确度可靠地计算未表征介质中的分析物浓度。