DNA Sequencing Array Registration via Moiré Averaging and Deletion Sites
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Solution Overview
Problem
Conventional methods for high-throughput genome sequencing are limited by the need for extensive space on biochemical arrays for registration marks, reducing the number of analyzable sites and thus the volume of analysis per unit time, and are hindered by the physical limitations of camera speed and pixels per spot in imaging systems.
Innovation Solution
A protocol for precise alignment and accurate registration of DNA nanoballs on a substrate using minimization techniques and Moiré averaging, with reserved deletion sites acting as registration markers, allowing for a high degree of accuracy in image alignment and maximizing usable site density on the array.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional registration marks and guides are used on the substrate, then alignment and registration can be achieved, but the number of available analysis sites is reduced and the volume of analysis per unit time decreases
Solution Approach 1:
The patent extracts the registration function from physical marks on the substrate and implements it through computational methods. Reserved deletion sites (missing spots in the array) serve as registration markers, allowing alignment through image processing and pattern recognition rather than requiring additional physical registration features that would consume valuable substrate space.
Solution Approach 2:
The patent uses the periodic pattern of the array itself as a registration reference. By capturing the periodic structure in images and using Fourier transform or cross-correlation methods, the system creates a computational copy of the reference pattern that can be used for alignment without requiring separate physical registration marks.
2Productivity
If the number of pixels per spot is reduced to minimum, then more spots can be analyzed, but camera speed is limited by physical constraints
Solution Approach 1:
The patent segments the imaging process into multiple frames captured at different time points. By combining information from multiple frames, the system achieves high-resolution spot detection even when individual frames have limited pixels per spot. This temporal segmentation allows the camera to use lower resolution settings while maintaining overall image quality through computational integration.
Solution Approach 2:
The patent adds the time dimension to the imaging process by capturing multiple frames over time. This transforms a two-dimensional spatial resolution problem into a four-dimensional problem (x, y, t), allowing the system to achieve high effective resolution through temporal integration rather than requiring high spatial resolution at a single moment, thus bypassing camera pixel limitations.
3Productivity
If more sites are packed on the substrate, then analysis volume increases, but alignment and registration become more difficult
Solution Approach 1:
The patent changes the registration approach from relying on high-precision physical markers to using computational parameter optimization. By using Fourier transform or cross-correlation methods that can achieve sub-pixel precision, the system maintains accurate registration even with high-density arrays where physical markers would be too close together to be reliably detected.
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 high-confidence data extraction and maximizes the informational content on the chip, enhancing sequencing throughput and efficiency while minimizing reagent use and contamination.
Implementation Method 1
Fluorescence imaging is used to identify DNA bases—A, C, G, or T—by designing biochemical reactions such that a different colored dye (for example, red, green, blue, or yellow) corresponds to each one.
Data Source
AI summary
In a genome sequencing system and methodology, a protocol is provided to achieve precise alignment and accurate registration of an image of a planar array of nanoballs subject to optical analysis. Precise alignment correcting for fractional offsets is achieved by correcting for errors in subperiod x-y offset, scale and rotation by use of minimization techniques and Moiré averaging. In Moiré averaging, magnification is intentionally set so that the pixel period of the imaging element is a noninteger multiple of the site period. Accurate registration is achieved by providing for pre-defined pseudo-random sets of sites, herein deletion or reserved sites, where nanoballs are prevented from attachment to the substrate so that the sites of the array can be used in a pattern matching scheme as registration markers for absolute location identification. Information can be extracted with a high degree of confidence that it is correlated to a known location, while at the same time the amount of information that can be packed on a chip is maximized.