Title:
DATA PROCESSING DEVICE, DATA PROCESSING METHOD, DATA PROCESSING PROGRAM, AND ANALYSIS DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/240939
Kind Code:
A1
Abstract:
A data processing device (100) that performs data processing on a measured waveform obtained by prescribed measurement of a sample. The data processing device (100) comprises an estimation unit (102), a calculation unit (104), and a display processing unit (105). The estimation unit (102) uses a prescribed peak shape model on each of a plurality of proximate peak waveforms included in the measured waveform to estimate a predicted peak shape distribution for each. On the basis of the predicted peak shape distributions estimated by the estimation unit (102), the calcuation unit (104) calculates a predicted quantitative index distribution for each of the peak waveforms. The display processing unit (105) can make it so that the predicted quantitative index distributions calculated by the calculation unit (104) are displayed.
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Inventors:
TAMAI YUSUKE (JP)
Application Number:
PCT/JP2021/008351
Publication Date:
December 02, 2021
Filing Date:
March 04, 2021
Export Citation:
Assignee:
SHIMADZU CORP (JP)
International Classes:
G01N30/86
Domestic Patent References:
| WO2020032803A1 | 2020-02-13 | |||
| WO2016035167A1 | 2016-03-10 | |||
| WO2020105566A1 | 2020-05-28 | |||
| WO2019176658A1 | 2019-09-19 | |||
| WO2019092837A1 | 2019-05-16 |
Foreign References:
| JP2016004525A | 2016-01-12 | |||
| JPH06324029A | 1994-11-25 |
Other References:
MATVIYCHUK YEVGEN; VON HARBOU ERIK; HOLLAND DANIEL J.: "An experimental validation of a Bayesian model for quantification in NMR spectroscopy", JOURNAL OF MAGNETIC RESONANCE., ACADEMIC PRESS, ORLANDO, FL., US, vol. 285, 1 January 1900 (1900-01-01), US , pages 86 - 100, XP085253432, ISSN: 1090-7807, DOI: 10.1016/j.jmr.2017.10.009
KAWASHIMA ET AL.: "Spectral decomposition based on Bayesian variable selection", INFORMATION PROCESSING SOCIETY OF JAPAN JOURNAL MATHEMATICAL MODELING AND APPLICATION, vol. 12, no. 2, July 2019 (2019-07-01), pages 34 - 43
KAWASHIMA ET AL.: "Spectral decomposition based on Bayesian variable selection", INFORMATION PROCESSING SOCIETY OF JAPAN JOURNAL MATHEMATICAL MODELING AND APPLICATION, vol. 12, no. 2, July 2019 (2019-07-01), pages 34 - 43
Attorney, Agent or Firm:
FUKAMI PATENT OFFICE, P.C. (JP)
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