IN2014DN09363A - - Google Patents

Info

Publication number
IN2014DN09363A
IN2014DN09363A IN9363DEN2014A IN2014DN09363A IN 2014DN09363 A IN2014DN09363 A IN 2014DN09363A IN 9363DEN2014 A IN9363DEN2014 A IN 9363DEN2014A IN 2014DN09363 A IN2014DN09363 A IN 2014DN09363A
Authority
IN
India
Prior art keywords
spectra
basis
value
spectrum
sample
Prior art date
Application number
Inventor
René Raymond Parchen
Arjan Laurens Van Wuijckhuijse
Adrianus Bos
Original Assignee
Biosparq B V
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 Biosparq B V filed Critical Biosparq B V
Publication of IN2014DN09363A publication Critical patent/IN2014DN09363A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G06F18/24155—Bayesian classification
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28—Investigating the spectrum
    • G01J3/44—Raman spectrometry; Scattering spectrometry ; Fluorescence spectrometry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483—Physical analysis of biological material
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12—Classification; Matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12—Classification; Matching
    • G06F2218/14—Classification; Matching by matching peak patterns

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Analytical Chemistry (AREA)
  • Biomedical Technology (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Urology & Nephrology (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Biophysics (AREA)
  • Hematology (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Signal Processing (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Spectrometry And Color Measurement (AREA)

Abstract

The invention relates to a method for classification of a sample on the basis of spectral data a method for creating a database and a method for using this database, and corresponding computer program data storage medium and system. The method comprises: a) obtaining at least two sets of first spectra for use as reference spectra, each set comprising spectra of reference samples belonging to the same class; b) determining for each of the reference spectra the value of the same at least one quantity related to a spectral feature; c) associating a probability to different values of the quantity on the basis of the determined values; d) obtaining a spectrum from the sample and determining the value of the same at least one quantity of this spectrum; and e) calculating on the basis of the probabilities and the value of the quantity for the obtained spectrum for each of said at least two classes a probability that the sample belongs to that class.
IN9363DEN2014 2012-04-10 2013-04-10 IN2014DN09363A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
NL2008620 2012-04-10
NL2009015A NL2009015C2 (en) 2012-04-10 2012-06-15 Method for classification of a sample on the basis of spectral data, method for creating a database and method for using this database, and corresponding computer program, data storage medium and system.
PCT/NL2013/050260 WO2013154425A1 (en) 2012-04-10 2013-04-10 Method for classification of a sample on the basis of spectral data, method for creating a database and method for using this database, and corresponding computer program, data storage medium and system

Publications (1)

Publication Number Publication Date
IN2014DN09363A true IN2014DN09363A (en) 2015-07-17

Family

ID=48237199

Family Applications (1)

Application Number Title Priority Date Filing Date
IN9363DEN2014 IN2014DN09363A (en) 2012-04-10 2013-04-10

Country Status (9)

Country Link
US (1) US20150066377A1 (en)
EP (1) EP2836958B1 (en)
JP (1) JP6525864B2 (en)
CN (1) CN104380311B (en)
BR (1) BR112014025246A8 (en)
IN (1) IN2014DN09363A (en)
NL (1) NL2009015C2 (en)
RU (1) RU2633797C2 (en)
WO (1) WO2013154425A1 (en)

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AU2014382594B2 (en) * 2014-02-14 2019-07-04 Perkinelmer U.S. Llc Systems and methods for automated analysis of output in single particle inductively coupled plasma mass spectrometry and similar data sets
US9754774B2 (en) 2014-02-14 2017-09-05 Perkinelmer Health Sciences, Inc. Systems and methods for automated analysis of output in single particle inductively coupled plasma mass spectrometry and similar data sets
CN106198482B (en) * 2015-05-04 2019-07-05 清华大学 The method for whether being added with Western medicine in detection health care product based on Raman spectrum
WO2016196125A1 (en) * 2015-05-29 2016-12-08 Virgin Instruments Corporation Method for developing and applying databases for identification of microorganisms by maldi-tof mass spectrometry
WO2016200164A1 (en) * 2015-06-09 2016-12-15 한양대학교 산학협력단 Tactile recognition system and database building method therefor
JP6605415B2 (en) 2015-08-26 2019-11-13 ヴァイアヴィ・ソリューションズ・インコーポレイテッド Identification using spectroscopy
US10215639B2 (en) 2015-09-01 2019-02-26 Massachusetts Institute Of Technology Apparatus, systems, and methods for Talbot spectrometers
KR101816400B1 (en) * 2016-05-12 2018-01-09 에스케이이노베이션 주식회사 Evaluation method of active material for rechargeable battery
US10497553B2 (en) * 2016-08-22 2019-12-03 Highland Innovations, Inc. Time versus intensity distribution analysis using a matrix-assisted laser desorption/ionization time-of-flight mass spectrometer
US10444213B2 (en) 2016-08-25 2019-10-15 Viavi Solutions Inc. Spectroscopic classification of conformance with dietary restrictions
WO2018080522A1 (en) 2016-10-28 2018-05-03 Hewlett-Packard Development Company, L.P. Target class feature model
WO2018158399A1 (en) 2017-03-02 2018-09-07 Biosparq B.V. Diagnostic method and system for diagnosis
FR3065285B1 (en) * 2017-04-14 2019-07-05 Commissariat A L'energie Atomique Et Aux Energies Alternatives METHOD FOR ACQUIRING A SPECTRUM
US10804562B2 (en) * 2017-12-06 2020-10-13 Tesla Motors Canada ULC Method and system for determining concentration of electrolyte components for lithium-ion cells
US11656174B2 (en) 2018-01-26 2023-05-23 Viavi Solutions Inc. Outlier detection for spectroscopic classification
US10810408B2 (en) * 2018-01-26 2020-10-20 Viavi Solutions Inc. Reduced false positive identification for spectroscopic classification
US11009452B2 (en) 2018-01-26 2021-05-18 Viavi Solutions Inc. Reduced false positive identification for spectroscopic quantification
IT201800002353A1 (en) * 2018-02-02 2019-08-02 Alifax Srl BACTERIAL IDENTIFICATION PROCESS THROUGH MULTIVARIATE ANALYSIS OF SPECTRAL PROFILES
JP6951753B2 (en) * 2018-03-27 2021-10-20 エバ・ジャパン 株式会社 Information search system and program
JP7031450B2 (en) * 2018-04-02 2022-03-08 日本製鉄株式会社 Particle source analysis system, particle source analysis method, and program
CA3136899A1 (en) * 2019-04-15 2020-10-22 Security Matters Ltd. Method and system for classification of samples
JP7362337B2 (en) * 2019-07-30 2023-10-17 キヤノン株式会社 Information processing device, control method for information processing device, and program
US20210190740A1 (en) * 2019-12-19 2021-06-24 Bio-Rad Laboratories, Inc. Automated chromatogram analysis for blood test evaluation
RU2751434C1 (en) * 2020-09-04 2021-07-13 Андрей Валентинович Крашенинников Mobile laser emission substance analyser
CN112255215B (en) * 2020-09-16 2021-08-17 清华大学 Method for detecting surface enhanced Raman of modified dimer for analyzing living cell life activity state
EP4251997A1 (en) * 2020-11-26 2023-10-04 12535441 Canada Ltd. Spectral diagnostic system
CN112614542B (en) * 2020-12-29 2024-02-20 北京携云启源科技有限公司 Microorganism identification method, device, equipment and storage medium
CN113092407B (en) * 2021-04-20 2024-01-30 深圳华创智信科技有限公司 Near infrared spectrum-based method for identifying varieties of original places of five-normal rice flower fragrance rice
KR102500948B1 (en) * 2021-10-01 2023-02-20 한국전자기술연구원 Hazardous material detection device and method through time-varying IMS data processing
WO2024008522A1 (en) * 2022-07-05 2024-01-11 Trinamix Gmbh Generating a spectrum of a sample

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JP4103324B2 (en) * 2000-03-06 2008-06-18 住友化学株式会社 Titanium oxide, photocatalyst body and photocatalyst body coating agent using the same
JP2004536276A (en) * 2000-11-16 2004-12-02 シファーゲン バイオシステムズ， インコーポレイテッド How to analyze a mass spectrum
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EP2439536A1 (en) * 2010-10-01 2012-04-11 Nederlandse Organisatie voor toegepast- natuurwetenschappelijk onderzoek TNO New classification method for spectral data

Also Published As

Publication number Publication date
JP6525864B2 (en) 2019-06-05
RU2633797C2 (en) 2017-10-18
EP2836958A1 (en) 2015-02-18
CN104380311A (en) 2015-02-25
WO2013154425A1 (en) 2013-10-17
BR112014025246A8 (en) 2021-03-02
NL2009015C2 (en) 2013-10-15
CN104380311B (en) 2018-06-26
EP2836958B1 (en) 2020-06-10
US20150066377A1 (en) 2015-03-05
JP2015516570A (en) 2015-06-11
RU2014145011A (en) 2016-05-27

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