Fluorescence Detection System for Air Bubble Exclusion
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Solution Overview
Problem
Existing detection systems using individual separated compartments face issues such as air bubbles, poor isolation, fluorescence intensity deterioration, non-specific reactions, and dust artifacts, which affect measurement accuracy and lead to increased system complexity and cost.
Innovation Solution
An information processing system that includes an image acquisition unit, an exclusion region determination unit, and a calculation unit to acquire and process images of individual separated compartments, excluding regions with characteristics indicative of air bubbles or other inaccuracies, thereby improving measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reflection mechanisms are added to detect air bubbles, then air bubble detection capability is improved, but system complexity and cost increase
Solution Approach 1:
The fluorescence detection system is made multi-functional by enabling it to detect both target DNA and air bubbles using the same optical detection pathway. Air bubbles are detected by analyzing fluorescence signal characteristics (absence or abnormal intensity) in compartments that should contain target DNA, thus eliminating the need for separate detection mechanisms.
Solution Approach 2:
The fluorescence signal acts as an intermediary that carries information about both target DNA presence and air bubble presence. By analyzing the characteristics of this single signal, the system indirectly detects air bubbles without requiring direct physical interaction or separate detection hardware.
2Reliability
If reflection mechanisms are added to detect air bubbles, then air bubble detection capability is improved, but system cost increases
Solution Approach 1:
The existing fluorescence detection hardware is made multi-functional to perform both target DNA detection and air bubble detection, eliminating the need for additional expensive components and reducing overall system cost.
Solution Approach 2:
The system uses its own fluorescence detection capability to simultaneously detect air bubbles, making the detection process self-serving and eliminating the need for external or additional detection systems.
3Measurement precision
If individual separated compartments are used for detection, then detection sensitivity is improved, but susceptibility to air bubbles and measurement inaccuracies increases
Solution Approach 1:
The system uses fluorescence signal feedback to identify and exclude compartments containing air bubbles or artifacts from the final calculation. By analyzing signal characteristics and applying statistical methods, the system automatically filters out unreliable data points while maintaining high detection sensitivity for valid compartments.
Solution Approach 2:
The system changes the parameter being measured from simple fluorescence presence to fluorescence signal characteristics analysis. By examining multiple parameters (signal intensity, distribution patterns, statistical deviations), the system can distinguish between true target DNA signals and artifacts caused by air bubbles or dust.
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
The system enhances measurement accuracy by excluding regions that cause inaccuracies, improving stability, especially in low concentration measurements, and extends the detection lower limit.
Implementation Method 1
when a reporter molecule in which a fluorescent substance and a quencher are linked to each other by single-stranded DNA is added to a reaction system, Casl2a cleaves the single-stranded DNA of the reporter molecule by a trans-cleavage reaction. Thus, the fluorescent substance and the quencher are separated, and fluorescence is generated.
Data Source
AI summary
An information processing system using an individual separated compartment for detecting a target through use of the individual separated compartment, the information processing system including: an image acquisition unit configured to acquire an image including, as an object, a plurality of individual separated compartments in which a target is includable, an exclusion region determination unit configured to set, based on the image, a characteristic value for determining an exclusion region to be excluded from among a plurality of regions of the image, and determine the exclusion region based on the characteristic value of the plurality of regions, and a calculation unit configured to calculate information relating to the target from an image of individual separated compartments included in each region for calculation obtained by excluding the exclusion region from the image.