Offset Fiducial Layouts for Sequencing Array Image Registration
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Solution Overview
Problem
As the density and size of features on nucleic acid arrays increase, accurate detection and alignment of sites become problematic, leading to challenges in sequencing and imaging, particularly due to the complexity of comparing successive images and the economic and time costs associated with detection and image processing.
Innovation Solution
The use of fiducial features with a fluorescent material, disposed in offset rows on the array support, which respond differently in successive cycles of fluorescent imaging, allowing for improved image registration and data encoding, enabling accurate location and alignment of biological samples during imaging processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the density of features in the arrays increases and the size of features decreases, then the capacity and resolution of the array improve, but accurate detection and alignment of sites become problematic
Solution Approach 1:
The patent introduces fiducial features as intermediary reference markers that are distinct from the biological sample features. These fiducial features serve as mediators for alignment and registration, providing stable reference points that do not suffer from the same density and size constraints as the sample features, thereby enabling accurate detection even as sample feature density increases and size decreases
Solution Approach 2:
The patent employs fiducial features with different physical and optical parameters compared to the sample features. The fiducial features have distinct fluorescent properties, sizes, and positions that differentiate them from the biological samples, allowing the detection system to separately identify and use them for alignment purposes without interfering with sample detection
2Productivity
If the overall size of the arrays expand to accommodate larger samples, then the sequencing capacity improves, but accurate detection and image processing become more problematic
Solution Approach 1:
The patent segments the array into distinct functional zones by implementing offset rows that create systematic spacing patterns. This segmentation allows the large array to be processed in manageable sections, with fiducial features providing local reference frames that simplify image processing and registration across the expanded array area
Solution Approach 2:
The fiducial features act as intermediary reference markers distributed across the expanded array. These intermediaries provide stable alignment points that simplify the complex task of registering and processing images from large arrays, breaking down the overall complexity into localized registration problems
3Ease of manufacture
If fiducial features are disposed in regular aligned rows, then the layout is simple and easy to manufacture, but accurate image registration becomes problematic due to alignment issues in successive imaging cycles
Solution Approach 1:
The patent deliberately introduces asymmetry into the fiducial feature layout by implementing offset rows where fiducials in one row are laterally displaced relative to fiducials in adjacent rows. This asymmetric pattern breaks the periodicity that causes registration errors while maintaining a relatively simple manufacturing process, thereby improving image registration accuracy without significantly complicating fabrication
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 enhances the accuracy of nucleic acid sequencing by facilitating robust image registration and data transformation, reducing errors and costs associated with complex image analysis, and improving the reliability of sequence determination.
Implementation Method 1
fiducial features on the support having a fluorescent material that responds in the successive cycles of fluorescent imaging
Data Source
AI summary
Fiducial markers are provided on patterned arrays of the type that may be used for molecular analysis, such as sequencing. The fiducials may have configurations and layouts that enhance their detection in image or detection data, that facilitate or improve processing, that provide encoding of useful information, and so forth. Examples of the fiducials may include offset layouts that may be useful in detecting the fiducials in different types and approaches in imaging, and that may help to distinguish regions of the array from one another in image data.