Spectral Calibration for Overlapping Fluorescence Peaks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The accuracy of spectral calibration in capillary electrophoresis type sequencers decreases when peaks from fluorescent dyes appear simultaneously, especially as the device is miniaturized and capillary length shortens, leading to increased overlap of detected signals.
Innovation Solution
A spectral calibration apparatus and method that calculates a color conversion matrix by acquiring spectral signals, calculating candidates based on the frequency of simultaneous fluorescence peak appearances, and selecting the matrix based on an evaluation value, which improves accuracy even when peaks overlap.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If the capillary length is shortened for device miniaturization, then the device size is reduced, but the peak separation between fluorescent dyes deteriorates and signal overlap increases
Solution Approach 1:
The invention changes the parameter of capillary length to enable miniaturization, accepting the trade-off of reduced peak separation. Instead of maintaining long capillaries for separation, the system uses computational methods (evaluation values and selection processes) to compensate for the overlapping peaks, thereby achieving miniaturization without completely sacrificing measurement precision
Solution Approach 2:
The invention replaces the mechanical separation mechanism (long capillary for physical peak separation) with a computational approach (evaluation value calculation and matrix selection). The system no longer relies solely on physical separation distance but uses mathematical processing to resolve overlapping signals, enabling device miniaturization while maintaining calibration accuracy
2Speed
If peaks from different fluorescent dyes appear simultaneously, then the detection speed is improved, but the spectral calibration accuracy decreases
Solution Approach 1:
The invention introduces a feedback mechanism where evaluation values are calculated based on the degree of peak overlap, and this information is used to select the most appropriate color conversion matrix. The system continuously monitors the overlap condition and adjusts the calibration approach accordingly, enabling accurate calibration even when peaks appear simultaneously
Solution Approach 2:
The invention makes the spectral calibration process dynamic by selecting different color conversion matrices based on the actual peak overlap conditions. Instead of using a fixed calibration method, the system adapts its approach based on the detected signal characteristics, allowing it to handle both separated and overlapping peak scenarios effectively
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables high-accuracy spectral calibration even when peaks from different fluorescent dyes appear simultaneously, effectively addressing the challenge of signal overlap in miniaturized capillary electrophoresis systems.
Implementation Method 1
a spectral signal acquisition unit that acquires a spectral signal of fluorescence detected over time
Data Source
AI summary
Provided are a spectral calibration apparatus and a spectral calibration method capable of performing spectral calibration with high accuracy even when peaks appear simultaneously between fluorescent dyes.The spectral calibration apparatus for calculating a color conversion matrix used in color conversion processing, includes a spectral signal acquisition unit that acquires a spectral signal of fluorescence detected over time, a candidate calculation unit that calculates a candidate of the color conversion matrix for each value of a parameter, which depends on a frequency at which fluorescence peaks of fluorescent dyes appear at the same time, based on the spectral signal, and a selection unit that selects a color conversion matrix based on an evaluation value calculated for each candidate.