Digital Image Brightness Determination for Genetic Beads
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining the overall brightness of objects in digital images, particularly those receiving genetic information, face challenges due to the need for precise optical equipment and compensation for distortions and shape differences between spherical beads and image pixels, which complicates accurate intensity extraction and alignment in sequencing apparatus.
Innovation Solution
A method and system that generate an area with sample points distributed according to a predetermined distribution, align the center of this area to the object, extract intensity values using bilinear interpolation, and calculate central tendency, such as median value, to determine the overall brightness of objects like beads configured to receive DNA or RNA, utilizing Poisson disk sampling and blue noise distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precise optical equipment and distortion compensation methods are used to determine brightness of spherical beads, then measurement precision is improved, but device complexity and calculation complexity increase
Solution Approach 1:
The patent replaces complex optical equipment with a standard digital camera that captures images in a single exposure. The spherical beads are imaged once, and their brightness is determined through computational methods rather than requiring sophisticated optical measurement devices. This eliminates the need for expensive, complex optical equipment while maintaining measurement capability.
Solution Approach 2:
The patent substitutes mechanical/optical measurement systems with a digital imaging and computational approach. Instead of using precise optical equipment to measure brightness, the system captures a digital image and calculates brightness through image processing algorithms that account for the spherical shape and vignetting effects computationally.
2Measurement precision
If intensity values are extracted from multiple pixels representing a spherical bead, then measurement precision is improved, but calculation complexity increases due to shape mismatch
Solution Approach 1:
The patent applies different weighting factors to different pixels within the region of interest based on their local properties. Pixels closer to the center of the spherical bead projection are weighted differently than those at the edges, accounting for the spherical shape and vignetting effects. This localized approach improves accuracy without requiring complex global calculations.
Solution Approach 2:
The patent changes the parameter space by working with intensity ratios rather than absolute intensity values. By calculating the ratio of intensities from different pixels and using this ratio to determine overall brightness, the method simplifies the calculation while accounting for variations in pixel response and spherical geometry.
3Measurement precision
If alignment between bead positions and fluorescence image is performed with sub-pixel precision, then measurement precision is improved, but ease of operation decreases
Solution Approach 1:
The patent performs preliminary actions by capturing all necessary information in a single image exposure, including both the bead positions and fluorescence signals. The alignment is then achieved through computational correlation of these pre-captured data elements, eliminating the need for iterative alignment procedures and simplifying the operational process while maintaining sub-pixel precision.
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
This approach enables precise and reliable determination of overall brightness, compensating for distortions and shape differences, thereby improving the accuracy of digital image analysis in sequencing processes.
Implementation Method 1
the at least one object being configured to receive molecules comprising genetic information... fluorescent signals emitted from a probe can be detected
Data Source
Figure 1~2
Figure 3~4
AI summary
The present invention relates to a method and a system for the overall brightness of at least one object in a digital image. In particular, the method for determining the overall brightness of at least one object in a digital image, the at least one object being configured to receive molecules comprising genetic information, the method comprising the steps of: generating an area A comprising k sample points, the k points being distributed in the area A according to a predetermined distribution; aligning the center position of the area A to the center position of the at least one object in the digital image; extracting the intensity value at each of the k sample points; and calculating the central tendency of the extracted intensity values at the respective k sample points.