Analysis data processing method and device

An analytical data processing method that handles a spectrum data set including spectrum data collected by performing predetermined analyses respectively on a plurality of measuring points in a predetermined region to be measured set on a sample and indicating a relationship between a predetermined parameter and a signal intensity value, being associated with spatial position information of the measuring points, the method comprising:

• for a plurality of the spectrum data sets different from each other obtained from an analyzing device,
• a) an individual reference value acquiring step for obtaining a value at which a ratio between an integrated value for an intensity value and a maximum intensity value for all or part of parameter values in the spectrum data at one measuring point becomes the largest among those at all the measuring points as a reference value for normalization for each of the spectrum data sets;
• b) a common reference value selecting step for selecting a minimum reference value from a plurality of the reference values obtained in the individual reference value acquiring step as a common reference value or setting a value smaller than the minimum value as the common reference value for all the spectrum data sets;
• and
• c) a computer-implemented normalization executing step for normalizing the intensity values for all or part of the parameter values in the spectrum data included in each of the spectrum data sets so that the intensity values after normalization do not exceed a predetermined allowable value based on the common reference value selected in the common reference value selecting step, wherein normalization based on the common reference value selected in the common reference value selecting step reduces normalization operation time of said computer by avoiding overflow of data during the computer-implemented normalization executing step and minimizes round-off errors to improve accuracy of normalization of the intensity value by said computer among the different spectrum data sets.

An analytical data processing apparatus that handles a spectrum data set including spectrum data collected by performing predetermined analyses respectively on a plurality of measuring points in a predetermined region to be measured set on a sample and indicating a relationship between a predetermined parameter and a signal intensity value, being associated with spatial position information of the measuring points, the apparatus comprising:

• for a plurality of the spectrum data sets different from each other,
• a) an individual reference value acquiring part configured to obtain a maximum reference value at which the intensity values after a normalization do not exceed a predetermined allowable value when normalizing intensity values for all or part of parameter values in the spectrum data at the respective measuring points for each of the spectrum data sets;
• b) a common reference value selecting part configured to select a minimum reference value from a plurality of the reference values obtained by the individual reference value acquiring part as a common reference value or setting a value smaller than the minimum value as the common reference value for all the spectrum data sets;
• and
• c) a normalization executing part configured to normalize the intensity values for all or part of parameter values in the spectrum data contained in each of the spectrum data sets based on the common reference value selected by the common reference value selecting part so as to avoid an overflow of data to reduce normalization operation time of the normalization executing part and to minimize round-off errors to improve accuracy of normalization of the intensity values by the normalization executing part.

An analytical data processing apparatus that handles a spectrum data set including spectrum data collected by performing predetermined analyses respectively on a plurality of measuring points in a predetermined region to be measured set on a sample and indicating a relationship between a predetermined parameter and a signal intensity value, being associated with spatial position information of the measuring points, the apparatus comprising:

• for a plurality of the spectrum data sets different from each other,
• a) an individual reference value acquiring part configured to obtain a value at which a ratio between an integrated value for an intensity value and a maximum intensity value for all or part of parameter values in spectrum data at one measuring point becomes the largest among those at all the measuring points as a reference value for normalization for each of the spectrum data sets;
• b) a common reference value selecting part configured to select a minimum reference value from a plurality of the reference values obtained by the individual reference value acquiring part as a common reference value or setting a value smaller than the minimum value as the common reference value for all the spectrum data sets;
• and
• c) a normalization executing part configured to normalize the intensity values for all or part of the parameter values in the spectrum data included in each of the spectrum data sets so that intensity values after normalization do not exceed a predetermined allowable value based on the common reference value selected by the common reference value selecting part so as to avoid an overflow of data to reduce normalization operation time of the normalization executing part and to minimize round-off errors to improve accuracy of normalization of the intensity values by the normalization executing part.

An analytical data processing method that handles data including spectrum data collected by performing predetermined analyses respectively on a plurality of measuring points in a predetermined region to be measured set on a sample and indicating a relationship between a predetermined parameter and a signal intensity value, being associated with spatial position information of the measuring points, the method comprising:

• a) an individual reference value acquiring step for obtaining a reference value at which intensity values after the normalization do not exceed a predetermined allowable value when normalizing the intensity values for all or part of parameter values in spectrum data at one measuring point for each of the measuring points;
• b) a common reference value selecting step for selecting the minimum reference value from a plurality of the reference values for the spectrum data at the respective measuring points obtained in the individual reference value acquiring step as a common reference value or setting a value smaller than the minimum value as the common reference value;
• and
• c) a computer-implemented normalization executing step for normalizing the intensity values for all or part of the parameter values in the respective spectrum data based on the common reference value selected in the common reference value selecting step, wherein normalization based on the common reference value selected in the common reference value selecting step reduces normalization operation time of said computer by avoiding overflow of data during the computer-implemented normalization executing step and minimizes round-off errors to improve accuracy of normalization of the intensity values by said computer.

An analytical data processing apparatus that handles data including spectrum data collected by performing predetermined analyses respectively on a plurality of measuring points in a predetermined region to be measured set on a sample and indicating a relationship between a predetermined parameter and a signal intensity value, being associated with spatial position information of the measuring points, the apparatus comprising:

• a) an individual reference value acquiring part configured to obtain a reference value at which intensity values after the normalization do not exceed a predetermined allowable value when normalizing the intensity values for all or part of parameter values in spectrum data at one measuring point for each of the measuring points;
• b) a common reference value selecting part configured to select the minimum reference value from the plurality of reference values for the spectrum data at the respective measuring points obtained in the individual reference value acquiring part as a common reference value or setting a value smaller than the minimum value as the common reference value;
• and
• c) a normalization executing part configured to normalize the intensity values for all or part of the parameter values in the respective spectrum data based on the common reference value selected by the common reference value selecting part so as to avoid an overflow of data to reduce normalization operation time of the normalization executing part and to minimize round-off errors to improve accuracy of normalization of the intensity values by the normalization executing part.

An analytical data processing method that handles data including spectrum data collected by performing predetermined analyses respectively on a plurality of measuring points in a predetermined region to be measured set on a sample and indicating a relationship between a predetermined parameter and a signal intensity value, being associated with spatial position information of the measuring points, the method comprising:

• a) an individual reference value acquiring step for obtaining a value at which a ratio between an integrated value for the intensity value and the maximum intensity value for all or part of the parameter values in a spectrum data at one measuring point becomes the largest among those at all the measuring points as a reference value for normalization for each of the measuring points;
• b) a common reference value selecting step for selecting the minimum reference value from the plurality of reference values for the spectrum data at the respective measuring points obtained in the individual reference value acquiring step as a common reference value or setting a value smaller than the minimum value as the common reference value;
• and
• c) a computer-implemented normalization executing step for normalizing intensity values for all or part of the parameter values in the respective spectrum data so that intensity values after normalization do not exceed a predetermined allowable value based on the common reference value selected in the common reference value selecting step, wherein normalization based on the common reference value selected in the common reference value selecting step reduces normalization operation time of said computer by avoiding overflow of data during the computer-implemented normalization executing step and minimizes round-off errors to improve accuracy of normalization of the intensity values by said computer.

An analytical data processing apparatus that handles a data including spectrum data collected by performing predetermined analyses respectively on a plurality of measuring points in a predetermined region to be measured set on a sample and indicating a relationship between a predetermined parameter and a signal intensity value, being associated with spatial position information of the measuring points, the apparatus comprising:

• a) an individual reference value acquiring part configured to obtain a value at which a ratio between an integrated value for the intensity value and the maximum intensity value for all or part of the parameter values in a spectrum data at one measuring point becomes the largest among those at all the measuring points as a reference value for normalization for each of the measuring points;
• b) a common reference value selecting part configured to select the minimum reference value from a plurality of reference values for the spectrum data at the respective measuring points obtained in the individual reference value acquiring part as a common reference value or setting a value smaller than the minimum value as the common reference value;
• and
• c) a normalization executing part configured to normalize the intensity values for all or part of the parameter values in the respective spectrum data so that intensity values after normalization do not exceed a predetermined allowable value based on the common reference value selected in the common reference value selecting part so as to avoid an overflow of data to reduce normalization operation time of the normalization executing part and to minimize round-off errors to improve accuracy of normalization of the intensity values by the normalization executing part.