Electrophoresis Data Processing With Label Sensitivity Correction
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Solution Overview
Problem
Existing electrophoresis devices face challenges in suppressing variation in fluorescence sensitivity when analyzing multiple fluorescent labels, especially when the binning function is not applicable, leading to inadequate data analysis.
Innovation Solution
An electrophoresis data processing device that includes a fluorescence spectrum calculation section, a fluorescence color signal data calculation section, an intensity correction coefficient calculation section, and an output section, which normalize and correct fluorescence signal intensities using reference samples to suppress sensitivity variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the binning function is used to improve data acquisition speed and S/N ratio, then fluorescence signal detection is improved, but variation in fluorescence sensitivity occurs depending on wavelength characteristics of fluorescent labels
Solution Approach 1:
The patent applies parameter changes by adjusting the binning pattern parameters (grouping configuration of light-receiving surfaces) according to the specific wavelength characteristics of the fluorescent labels being used. This allows optimization of the binning function for different fluorescent label sets, suppressing sensitivity variation while maintaining improved S/N ratio and data acquisition speed.
2Productivity
If the binning function is not used to increase fluorescence detection speed and decrease acquisition pixel area, then data acquisition is faster, but variation in fluorescence sensitivity cannot be suppressed
Solution Approach 1:
The patent enables suppression of fluorescence sensitivity variation without relying on the binning function by changing the data processing parameters. Specifically, it uses wavelength calibration data and sensitivity correction algorithms to compensate for sensitivity variations, allowing fast detection speed to be maintained while achieving reliable suppression of sensitivity variation.
3Reliability
If a binning pattern optimized for a specific set of fluorescent labels is applied to suppress variation in fluorescence sensitivity, then sensitivity variation is suppressed, but the solution is dependent on binning which may not always be available
Solution Approach 1:
The patent creates a universal solution that works with or without the binning function. It implements a multi-functional approach where the system can operate in binning mode when available, or switch to alternative data processing methods when binning is not available, ensuring fluorescence sensitivity variation suppression in both scenarios.
Solution Approach 2:
The patent introduces an intermediary data processing layer that includes wavelength calibration and sensitivity correction algorithms. This intermediary processing step acts as a mediator between the raw detection data and the final analysis results, enabling sensitivity variation suppression independent of whether binning is applied at the hardware level.
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 efficient analysis of electrophoresis results by uniformly correcting fluorescence signal intensities across different fluorescent labels, improving data accuracy and analysis efficiency.
Implementation Method 1
a device for converting an optical signal into an electrical signal for each wavelength region, such as a CCD (Charge Coupled Device) element or a CMOS element
Implementation Method 2
the detection region of the capillary is irradiated with excitation light, and that the fluorescence emitted by the fluorescent labels is detected as a signal. The fluorescence emitted by the sample is dispersed in the wavelength direction
Data Source
AI summary
Disclosed is an electrophoresis data processing device that is configured to provide support for efficient analysis of electrophoresis results. The electrophoresis data processing device includes a fluorescence calibration section, a color conversion processing section, an intensity correction coefficient determination section, an intensity adjustment processing section, and a display device. The fluorescence calibration section calculates fluorescence spectrum data of a second sample in accordance with signal change data of a second sample. The color conversion processing section calculates fluorescence color signal data in accordance with signal charge data of a third sample and with the fluorescence spectrum data, and calculates fluorescence color signal data in accordance with signal charge data of a first sample and with the fluorescence spectrum data. The intensity adjustment processing section calculates color signal data by using the fluorescence color signal data and an intensity correction coefficient. The display device outputs the color signal data.


