Method and system for curve quality control
AssigneeBiacore AB
InventorsKarl Andersson, Peter Borg
Life of this patent
Estimating the term…
Abstract
A method of analysis wherein molecular interactions at one or more sensing surface areas are detected and respective response curves representing the progress of each interaction with time are produced, and wherein a resulting set of response curves is subjected to a quality assessment procedure which comprises representing the response curves with one or more quality descriptors, applying a quality classification method to the descriptors to find outliers, and removing the outliers. The invention also relates to an analytical system including means for classifying the response curves with regard to quality, a computer program for performing the classification, and a computer program product containing the program.
Claims30
A method of analysis, wherein molecular interactions at one or more sensing surface areas are detected and respective response curves representing the progress of each interaction with time are produced, and wherein a resulting set of response curves is subjected to a quality assessment procedure, the method comprising the steps of:
- a) selecting at least one quality-related parameter for the response curves, and for each different parameter defining at least one quality descriptor;
- b) computing for each response curve in the set thereof, values for the different quality descriptors;
- c) based on the values for the different quality descriptors, computing for each response curve a quality classification indicative of the quality of the response curve in relation to all response curves of the set;
- d) selecting response curves having deviating quality classifications;
- and
- e) subjecting the selected response curves to a validation procedure to determine whether a response curve or curves are to be rejected or not.
A computer-implemented method of analysis, wherein molecular interactions at one or more sensing surface areas are detected and respective response curves representing the progress of each interaction with time are produced, and wherein a resulting set of response curves is subjected to a quality assessment procedure, the method comprising the steps of:
- a) selecting at least one quality-related parameter for the response curves, and for each different parameter defining at least one quality descriptor;
- b) computing for each response curve in the set thereof, values for the different quality descriptors;
- c) based on the values for the different quality descriptors, computing for each response curve a quality classification indicative of the quality of the response curve in relation to all response curves of the set;
- d) selecting response curves having deviating quality classifications;
- and
- e) subjecting the selected response curves to a validation procedure to determine whether a response curve or curves are to be rejected or not.
An analytical system for detecting molecular binding interactions, comprising:
- (a) a sensor device comprising at least one sensing surface, detection means for detecting molecular interactions at the at least one sensing surface, and means for producing response curves representing the progress of each interaction with time;
- and
- (b) data processing means for classifying the response curves with regard to quality.
A computer program comprising program code means for performing a procedure for assessing the quality of response curves resulting from analysis of molecular interactions detected at one or more sensing surface areas, which response curves represent the progress of each interaction with time, when the program is run on a computer, which procedure comprises the steps of:
- a) selecting at least one quality-related parameter for the response curves, and for each different parameter defining at least one quality descriptor;
- b) computing for each response curve in the set thereof, values for the different quality descriptors;
- c) based on the values for the different quality descriptors, computing for each response curve a quality classification indicative of the quality of the response curve in relation to all response curves of the set;
- d) selecting response curves having deviating quality classifications;
- and
- e) subjecting the selected response curves to a validation procedure to determine whether a response curve or curves are to be rejected or not.
A computer program product comprising program code means for performing a procedure for assessing the quality of response curves resulting from analysis of molecular interactions detected at one or more sensing surface areas, which response curves represent the progress of each interaction with time, when the program is run on a computer, which procedure comprises the steps of:
- a) selecting at least one quality-related parameter for the response curves, and for each different parameter defining at least one quality descriptor;
- b) computing for each response curve in the set thereof, values for the different quality descriptors;
- c) based on the values for the different quality descriptors, computing for each response curve a quality classification indicative of the quality of the response curve in relation to all response curves of the set;
- d) selecting response curves having deviating quality classifications;
- and
- e) subjecting the selected response curves to a validation procedure to determine whether a response curve or curves are to be rejected or not.
A computer system containing a program for performing a procedure for assessing the quality of response curves resulting from analysis of molecular interactions detected at one or more sensing surface areas, which response curves represent the progress of each interaction with time, when the program is run on a computer, which procedure comprises the steps of:
- a) selecting at least one quality-related parameter for the response curves, and for each different parameter defining at least one quality descriptor;
- b) computing for each response curve in the set thereof, values for the different quality descriptors;
- c) based on the values for the different quality descriptors, computing for each response curve a quality classification indicative of the quality of the response curve in relation to all response curves of the set;
- d) selecting response curves having deviating quality classifications;
- and
- e) subjecting the selected response curves to a validation procedure to determine whether a response curve or curves are to be rejected or not.
Dependencies are inferred from the claim text.