Automated Sample Distribution and Sequencing Scheduling
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Solution Overview
Problem
Current genetic sequencing techniques are time-intensive and costly, limiting their throughput and reliability, and there is a need for improved automation and parallelization methods to enhance sequencing speed and efficiency.
Innovation Solution
The implementation of a processor-based system for scheduling sequencing runs across a network of sequencing devices, which optimizes sample assignment based on priority and device availability, combined with an automated sample distribution system that facilitates efficient loading and queuing of biological samples, allowing for dynamic scheduling and resource optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual sample loading and sequencing scheduling is used, then device complexity is reduced, but productivity and throughput are limited
Solution Approach 1:
The system enables self-service through automated sample loading robots that independently load samples into sequencing devices, and scheduling systems that automatically assign samples to devices based on availability and priority, eliminating manual intervention and increasing throughput
Solution Approach 2:
Manual mechanical sample loading is replaced with automated robotic systems and computer-controlled scheduling, substituting human operations with automated mechanisms to improve productivity and reduce downtime
2Loss of time
If sequencing devices operate continuously without optimization, then device complexity is minimized, but loss of time and downtime increase
Solution Approach 1:
The scheduling system dynamically adjusts sample assignments based on real-time device availability, priority levels, and sequencing progress, allowing flexible optimization that reduces downtime while adapting to changing conditions
Solution Approach 2:
The system incorporates feedback mechanisms that monitor device status, sample progress, and availability in real-time, using this information to optimize scheduling decisions and minimize idle time through continuous adjustment
3Productivity
If manual sample management is used, then ease of operation is maintained, but productivity and sequencing efficiency are reduced
Solution Approach 1:
The automated sample distribution system performs self-service by automatically loading samples, managing queues, and coordinating device assignments without manual intervention, thereby increasing efficiency while simplifying user interaction
Solution Approach 2:
The scheduling and distribution system serves multiple functions including sample assignment, priority management, availability tracking, and device coordination through a single integrated platform, improving efficiency without proportionally increasing operational complexity
Data Source
AI summary
A technique is disclosed for sample management for use in conjunction with sequencing devices that sequence biological samples, e.g., DNA and RNA. A sequencing device or a network of sequencing devices may be scheduled according to the characteristics of the samples in queue and the capabilities and availability of sequencing devices. Biological samples may be automatically queued and loaded via a sample distribution system. A sample distribution system may be used to reduce operator intervention.