METHOD AND DEVICE FOR PROCESSING DATA

• US 20140354988A1
• Filed: 05/29/2014
• Published: 12/04/2014
• Est. Priority Date: 05/31/2013
• Status: Active Grant

• Current Assignee: Canon Ayutthaya Limited (Canon Inc.)
• Original Assignee: Canon Ayutthaya Limited (Canon Inc.)
• Inventors: Tanji, Koichi
• Granted Patent: US 9,310,307 B2
• Time in Patent Office: Days
• US Class Current: 356/301
• CPC Class Codes: G01J 3/28 Investigating the spectrum using colour filters G01J3/51
• CPC Class Codes: G01J 3/44 Raman spectrometry; Scattering spectrometry ; Fluorescence spectrometry
• CPC Class Codes: G01N 2021/655 Stimulated Raman
• CPC Class Codes: G01N 21/65 Raman scattering
• CPC Class Codes: G01N 2201/129 Using chemometrical methods

Abstract

High-speed data processing is achieved by measuring spectral data using a multivariate analysis. This is accomplished by a determining sampling intervals or sampling data to be used in the multivariate analysis, obtaining a spectral data group of the determined sampling intervals, and carrying out the multivariate analysis using the obtained spectral data group.

Claims

1. A data processing device configured to process measurement spectral data by using a multivariate analysis, the data processing device comprising:

a determination unit configured to, based on the measurement spectral data, determine sampling intervals to be used in the multivariate analysis;

a data group obtaining unit configured to obtain a spectral data group of the sampling intervals determined by the determination unit; and

a multivariate analysis unit configured to carry out the multivariate analysis by using the spectral data group obtained by the data group obtaining unit.

2. The data processing device according to claim 1,

wherein the measurement spectral data is image data in which measurement spectral data is stored at each point along an XY plane.

3. The data processing device according to claim 1,

wherein the determination unit determines the sampling intervals based on one of a rate of change of a spectral distribution, intensity information in a frequency space, a magnitude of a spectral intensity distribution, or a magnitude of a Mahalanobis distance.

4. The data processing device according to claim 3,

wherein the determination unit determines the sampling intervals such that the sampling intervals are short when the rate of change of the spectral distribution is large and the sampling intervals are long when the rate of change of the spectral distribution is small.

5. The data processing device according to claim 3,

wherein the determination unit calculates a power spectrum after subjecting the measurement spectral data to Fourier transform and determines a frequency for sampling in an order of spectral intensities.

6. The data processing device according to claim 3,

wherein the determination unit determines a spectrum to sample based on the magnitude of the spectral intensity distribution.

7. The data processing device according to claim 3,

wherein the determination unit determines a spectrum to sample of based on the magnitude of the Mahalanobis distance calculated from the spectral intensities corresponding to a plurality of measurement targets.

8. The data processing device according to claim 1,

wherein the data group obtaining unit measures a spectrum based on the sampling intervals determined by the determination unit.

9. The data processing device according to claim 1,

wherein the measurement spectral data is data obtained through any one of an ultraviolet, visible, or infrared optical spectrum, a Raman optical spectrum, or a mass spectrum.

10. A sample information obtaining system, comprising:

the data processing device according to claim 1; and

a measuring unit configured to measure the measurement spectral data from a sample.

11. A data processing method for processing measurement spectral data by using a multivariate analysis, the data processing method comprising:

determining, based on the measurement spectral data, sampling intervals to be used in the multivariate analysis;

obtaining a spectral data group of the determined sampling intervals; and

carrying out the multivariate analysis by using the obtained spectral data group.

12. The data processing method according to claim 11,

wherein the measurement spectral data is image data in which spectral data is stored at each point along an XY plane.

13. The data processing method according to claim 11,

wherein determining the sampling intervals includes determining the sampling intervals based on one of a rate of change of a spectral distribution, intensity information in a frequency space, a magnitude of a spectral intensity distribution, or a magnitude of a Mahalanobis distance.

14. The data processing method according to claim 13,

wherein determining the sampling intervals includes determining the sampling intervals such that the sampling intervals are short when the rate of change of the spectral distribution is large and the sampling intervals are long when the rate of change of the spectral distribution is small.

15. The data processing method according to claim 13,

wherein determining the sampling intervals includes calculating a power spectrum after subjecting the measurement spectral data to Fourier transform and determining a frequency for sampling in an order of spectral intensities.

16. The data processing method according to claim 13,

wherein determining the spectral intervals includes determining a spectrum to sample based on the magnitude of the spectral intensity distribution.

17. The data processing method according to claim 13,

wherein determining the spectral intervals includes determining a spectrum to sample based on the magnitude of the Mahalanobis distance calculated from the spectral intensities corresponding to a plurality of measurement targets.

18. The data processing method according to claim 11,

wherein obtaining the spectral data group includes measuring a signal based on the determined sampling intervals.

19. The data processing method according to claim 11,

wherein the measurement spectrum is one of an ultraviolet, visible, or infrared optical spectrum, a Raman optical spectrum, or a mass spectrum.

20. A computer readable storage medium storing a program that causes a computer to execute:

determining, based on measurement spectral data, sampling intervals to be used in a multivariate analysis;

obtaining a spectral data group of the determined sampling intervals; and

carrying out the multivariate analysis by using the obtained spectral data group.