DNA Microarray Fluorescence Imaging With Multi-Wavelength Noise Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional DNA microarray methods face challenges in obtaining fluorescence images with high detection accuracy due to noise interference, making it difficult to detect DNA spots with low light intensity.
Innovation Solution
An image acquiring apparatus and method that utilize multiple imaging conditions with different excitation and light receiving wavelengths to capture and correct noise, including sample, device, and dark noise, generating a noise-corrected fluorescence image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional single imaging condition fluorescence imaging is used, then the imaging process is simple and fast, but the detection accuracy is low due to noise interference
Solution Approach 1:
The imaging process is segmented into multiple distinct imaging conditions (first imaging condition with first excitation wavelength and first light receiving wavelength, second imaging condition with second excitation wavelength and second light receiving wavelength). Each imaging condition captures different noise characteristics, allowing systematic noise removal through subsequent subtraction to enhance detection accuracy.
2Measurement precision
If multiple imaging conditions are used to capture and correct noise, then the detection accuracy is improved, but the imaging time and processing complexity increase
Solution Approach 1:
The imaging process employs periodic acquisition of fluorescence images under alternating imaging conditions. The first fluorescence image is acquired under the first imaging condition, followed by the second fluorescence image under the second imaging condition. This periodic alternation allows systematic noise capture and removal while maintaining efficient imaging throughput.
3Reliability
If noise correction using multiple imaging conditions is applied, then low intensity DNA spots become detectable, but the processing complexity increases
Solution Approach 1:
The method extracts and isolates noise components by acquiring images under different imaging conditions. Sample noise, device noise, and dark noise are separately captured in the first and second fluorescence images. Through subtraction processing, these noise components are extracted and removed from the final image, enabling reliable detection of low intensity DNA spots that would otherwise be obscured.
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 approach enables the acquisition of fluorescence images with high detection accuracy by effectively removing various types of noise, improving the sensitivity and reliability of DNA spot detection.
Implementation Method 1
acquiring a fluorescence image in which a measurement target sample is captured by an imaging device under a first imaging condition using a predetermined excitation wavelength and a predetermined light receiving wavelength
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
An image acquiring apparatus 200 acquires a fluorescence image in which a DNA microarray 20 is captured by an imaging device 2 under a first imaging condition using a predetermined excitation wavelength and a predetermined light receiving wavelength, acquires a sample-noise correction image in which the DNA microarray 20 is captured by the imaging device under a second imaging condition in which at least one of an excitation wavelength and a light receiving wavelength is different from that of the first imaging condition, and generates a noise-corrected fluorescence image in which sample noise originating from the DNA microarray 20 included in the fluorescence image is removed by using the sample-noise correction image.