PL3662271T3 - System do określania obecności substancji będącej przedmiotem zainteresowania w próbce - Google Patents

System do określania obecności substancji będącej przedmiotem zainteresowania w próbce

Info

Publication number
PL3662271T3
PL3662271T3 PL18841659.8T PL18841659T PL3662271T3 PL 3662271 T3 PL3662271 T3 PL 3662271T3 PL 18841659 T PL18841659 T PL 18841659T PL 3662271 T3 PL3662271 T3 PL 3662271T3
Authority
PL
Poland
Prior art keywords
interest
substance
sample
determining
Prior art date
Application number
PL18841659.8T
Other languages
English (en)
Inventor
Jerome TROY
John W. Edwards
Heather GOLDMAN
David JOINER
William Miller
Original Assignee
Smiths Detection Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Smiths Detection Inc. filed Critical Smiths Detection Inc.
Publication of PL3662271T3 publication Critical patent/PL3662271T3/pl

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J49/00—Particle spectrometers or separator tubes
    • H01J49/0027—Methods for using particle spectrometers
    • H01J49/0036—Step by step routines describing the handling of the data generated during a measurement
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01J—ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
    • H01J49/00—Particle spectrometers or separator tubes
    • H01J49/02—Details
    • H01J49/025—Detectors specially adapted to particle spectrometers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N2021/3595—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using FTIR
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/65—Raman scattering
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G01N2201/129—Using chemometrical methods
    • G01N2201/1296—Using chemometrical methods using neural networks
PL18841659.8T 2017-07-31 2018-07-31 System do określania obecności substancji będącej przedmiotem zainteresowania w próbce PL3662271T3 (pl)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762539167P 2017-07-31 2017-07-31
PCT/US2018/044574 WO2019028004A1 (en) 2017-07-31 2018-07-31 SYSTEM FOR DETERMINING THE PRESENCE OF A SUBSTANCE OF INTEREST IN A SAMPLE

Publications (1)

Publication Number Publication Date
PL3662271T3 true PL3662271T3 (pl) 2024-02-19

Family

ID=65234200

Family Applications (1)

Application Number Title Priority Date Filing Date
PL18841659.8T PL3662271T3 (pl) 2017-07-31 2018-07-31 System do określania obecności substancji będącej przedmiotem zainteresowania w próbce

Country Status (6)

Country Link
US (2) US11379709B2 (pl)
EP (1) EP3662271B1 (pl)
CN (1) CN110998286B (pl)
CA (1) CA3070850A1 (pl)
PL (1) PL3662271T3 (pl)
WO (1) WO2019028004A1 (pl)

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US11081220B2 (en) 2018-02-02 2021-08-03 Carefusion 303, Inc. System and method for dispensing medication
EP3788634A1 (en) 2018-05-04 2021-03-10 CareFusion 303, Inc. Peer community based anomalous behavior detection
CA3125744A1 (en) 2019-01-07 2020-07-16 Carefusion 303, Inc. Machine learning based safety controller
CA3126700A1 (en) 2019-01-18 2020-07-23 Carefusion 303, Inc. Medication tracking system
CN111222543B (zh) * 2019-12-19 2024-03-22 津海威视技术(天津)有限公司 物质识别方法和设备及计算机可读存储介质
CN115885296A (zh) 2020-08-18 2023-03-31 株式会社岛津制作所 数据解析装置、数据解析方法、学习完毕模型的生成方法、系统以及程序
US11765376B2 (en) * 2020-10-08 2023-09-19 Tencent America LLC Pruning methods and apparatuses for neural network based video coding
US20220283083A1 (en) * 2021-03-05 2022-09-08 Sysmex Corporation Method for analyzing test substance, analyzer, training method, analyzer system, and analysis program
TW202326113A (zh) * 2021-10-27 2023-07-01 美商安進公司 使用光譜學進行的基於深度學習的預測
CN115436298B (zh) * 2022-10-26 2023-02-28 山东省水利勘测设计院有限公司 一种污染监控装置和方法
CN115718888B (zh) * 2022-11-29 2023-06-23 同方威视技术股份有限公司 痕量物质的检测方法、检测装置、电子设备和介质

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DE4100500A1 (de) 1991-01-10 1992-07-16 Bodenseewerk Geraetetech Signalverarbeitungsanordnung zur klassifizierung von objekten aufgrund der signale von sensoren
AU726049B2 (en) * 1995-09-19 2000-10-26 Veracel Inc. A neural network assisted multi-spectral segmentation system
CA2338675A1 (en) * 1998-07-27 2000-02-10 Cedars-Sinai Medical Center Spectral topography of mammalian matter
US6438261B1 (en) * 1998-09-03 2002-08-20 Green Vision Systems Ltd. Method of in-situ focus-fusion multi-layer spectral imaging and analysis of particulate samples
EP1846869B1 (en) * 2005-01-27 2011-10-05 Cambridge Research & Instrumentation, Inc. Classifying image features
TWM294069U (en) * 2006-01-19 2006-07-11 Univ Nat Kaohsiung Applied Sci Improved palm-print identification system
EP2313847A4 (en) * 2008-08-19 2015-12-09 Digimarc Corp METHODS AND SYSTEMS FOR PROCESSING CONTENT
US9542626B2 (en) * 2013-09-06 2017-01-10 Toyota Jidosha Kabushiki Kaisha Augmenting layer-based object detection with deep convolutional neural networks
WO2015077493A1 (en) * 2013-11-20 2015-05-28 Digimarc Corporation Sensor-synchronized spectrally-structured-light imaging
WO2015188275A1 (en) * 2014-06-10 2015-12-17 Sightline Innovation Inc. System and method for network based application development and implementation
WO2016145379A1 (en) * 2015-03-12 2016-09-15 William Marsh Rice University Automated Compilation of Probabilistic Task Description into Executable Neural Network Specification
US20170178346A1 (en) 2015-12-16 2017-06-22 High School Cube, Llc Neural network architecture for analyzing video data
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US20170214701A1 (en) * 2016-01-24 2017-07-27 Syed Kamran Hasan Computer security based on artificial intelligence
CN106650765B (zh) * 2016-09-06 2019-06-11 哈尔滨工业大学 基于卷积神经网络的高光谱数据转灰度图的高光谱数据分类方法
EP3151164A3 (en) 2016-12-26 2017-04-12 Argosai Teknoloji Anonim Sirketi A method for foreign object debris detection
CN106845381B (zh) * 2017-01-16 2022-09-23 西北工业大学 基于双通道卷积神经网络的空谱联合的高光谱图像分类方法

Also Published As

Publication number Publication date
CA3070850A1 (en) 2019-02-07
EP3662271A1 (en) 2020-06-10
CN110998286B (zh) 2023-06-13
EP3662271B1 (en) 2023-10-11
US20210133538A1 (en) 2021-05-06
US20230004784A1 (en) 2023-01-05
WO2019028004A1 (en) 2019-02-07
EP3662271C0 (en) 2023-10-11
EP3662271A4 (en) 2021-04-14
CN110998286A (zh) 2020-04-10
US11769039B2 (en) 2023-09-26
US11379709B2 (en) 2022-07-05

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