Chemical Array Layout Automation for Feature Density Limits
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Solution Overview
Problem
Current systems for producing chemical array layouts face challenges in efficiently determining the required array format and layout, particularly when the number of features exceeds the single array format limit, leading to suboptimal distribution and increased costs.
Innovation Solution
A system that includes an input manager for receiving array request information, a processing module with an array set developer and layout developer, and a memory with design rules to determine whether a single or multiple array formats are needed, and to develop an array layout based on user input and system decisions, allowing for random or non-random distribution of probe content across formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single array format is used to display all probe content, then the array layout is simple and costs are reduced, but the system cannot accommodate when the total number of features exceeds the single array format feature number limit
Solution Approach 1:
The system divides the probe content into multiple array formats when the total number of features exceeds the single array format limit. The array set developer automatically segments the probe set into appropriate subsets that fit within single array format constraints, allowing the system to handle large numbers of features while maintaining manageable individual array formats.
Solution Approach 2:
The system dynamically determines whether to use a single array format or multiple array formats based on the total number of features required. The array set developer evaluates the feature count and automatically adjusts the array configuration strategy, transitioning between single-format and multi-format modes as needed to optimize both adaptability and complexity.
2Productivity
If probe content is distributed randomly across array formats, then the distribution process is simplified and faster, but the manufacturing precision and optimization of probe distribution is reduced
Solution Approach 1:
The system applies partial optimization by distributing probe content randomly within constrained parameters. Rather than performing exhaustive optimization across all possible distributions, the system uses randomized distribution within defined boundaries, achieving sufficient precision for most applications while maintaining high productivity. This partial action approach balances speed and precision appropriately.
3Quantity of substance
If multiple array formats are used to display probe content, then the system can accommodate larger numbers of features, but the array layout complexity and development time increase
Solution Approach 1:
The array set developer performs preliminary evaluation of the total feature count and pre-determines the optimal array format configuration before actual layout development. By assessing whether single or multiple formats are needed in advance and preparing the segmentation strategy beforehand, the system minimizes development time while accommodating large numbers of features efficiently.
Solution Approach 2:
The system automatically determines and configures the appropriate array format structure without requiring manual intervention. The array set developer self-services by evaluating feature requirements and autonomously selecting whether to implement single or multiple array formats, significantly reducing development time compared to manual configuration approaches.
4Adaptability or versatility
If the system requires user acceptance of array set decision before development, then the user has control and customization capability, but the productivity and automation level is reduced
Solution Approach 1:
The system implements feedback by communicating the array set decision to the user for acceptance before proceeding with layout development. This feedback loop allows users to review and approve the automatically determined configuration, ensuring adaptability and user control while maintaining a high degree of automation in the actual development process that follows user approval.
Data Source
AI summary
Systems and methods for using the same to obtain a chemical array layout are provided. Also provided are computer program products for executing the subject methods.