Streamline Laboratory Operations with Sample Scheduler for OpenLab
Technical notes | 2025 | Agilent TechnologiesInstrumentation
Effective management of analytical workflows is critical in multiinstrument laboratories to minimize human error, improve throughput, and ensure accurate traceability of results. By automating sample routing and scheduling, organizations can optimize resource utilization and accelerate data reporting, supporting compliance and quality objectives.
This white paper presents Agilent Sample Scheduler for OpenLab, a software solution designed to centralize and streamline sample submission, instrument assignment, and data collection. The study outlines the goals of reducing manual interventions, enhancing LIMS integration, and providing a unified interface for operators, analysts, and managers.
The system architecture consists of a central database, a LIMS agent, one or more Scheduler agents, a web server, and desktop and web client interfaces. Agents communicate with OpenLab CDS acquisition controllers to:
Implementation of Sample Scheduler for OpenLab enables:
Sample Scheduler enhances laboratory productivity by reducing setup time, lowering the risk of transcription errors, and centralizing data management. Managers gain visibility into resource allocation and instrument status, while analysts benefit from a familiar interface and automated workflows that expedite sample processing across diverse analytical platforms.
Emerging developments may include cloud-based scheduling services, AI-driven optimization of instrument workflows, extended support for non-Agilent platforms, and deeper integration with Internet of Things sensors for real-time laboratory monitoring. Enhanced analytics and predictive maintenance features could further improve throughput and instrument uptime.
Agilent Sample Scheduler for OpenLab delivers a robust solution for laboratory workflow management, offering a unified submission interface, seamless LIMS integration, and comprehensive dashboarding. By automating sample routing and data exchange, it drives efficiency, accuracy, and better utilization of analytical assets.
Software
IndustriesManufacturerAgilent Technologies
Summary
Importance of the Topic
Effective management of analytical workflows is critical in multiinstrument laboratories to minimize human error, improve throughput, and ensure accurate traceability of results. By automating sample routing and scheduling, organizations can optimize resource utilization and accelerate data reporting, supporting compliance and quality objectives.
Study Objectives and Overview
This white paper presents Agilent Sample Scheduler for OpenLab, a software solution designed to centralize and streamline sample submission, instrument assignment, and data collection. The study outlines the goals of reducing manual interventions, enhancing LIMS integration, and providing a unified interface for operators, analysts, and managers.
Methodology and Architecture
The system architecture consists of a central database, a LIMS agent, one or more Scheduler agents, a web server, and desktop and web client interfaces. Agents communicate with OpenLab CDS acquisition controllers to:
- Poll for pending analysis requests
- Verify instrument license availability
- Initiate and monitor sample acquisitions
Main Results and Discussion
Implementation of Sample Scheduler for OpenLab enables:
- A single submission point for all networked instruments
- Automatic parameter autofill and instrument assignment based on predefined rules
- Real-time workload dashboards accessible from desktop and mobile devices
- Elimination of costly custom integrations and manual transcription
- Seamless bidirectional data exchange between OpenLab CDS and LIMS
Benefits and Practical Applications
Sample Scheduler enhances laboratory productivity by reducing setup time, lowering the risk of transcription errors, and centralizing data management. Managers gain visibility into resource allocation and instrument status, while analysts benefit from a familiar interface and automated workflows that expedite sample processing across diverse analytical platforms.
Future Trends and Opportunities
Emerging developments may include cloud-based scheduling services, AI-driven optimization of instrument workflows, extended support for non-Agilent platforms, and deeper integration with Internet of Things sensors for real-time laboratory monitoring. Enhanced analytics and predictive maintenance features could further improve throughput and instrument uptime.
Conclusion
Agilent Sample Scheduler for OpenLab delivers a robust solution for laboratory workflow management, offering a unified submission interface, seamless LIMS integration, and comprehensive dashboarding. By automating sample routing and data exchange, it drives efficiency, accuracy, and better utilization of analytical assets.
Reference
- Sample Scheduler for OpenLab Revision 2.7 – Installation and Configuration Guide Agilent Technologies publication D0014638 Rev A 2022
- Bidirectional LIMS and OpenLab CDS Integration with Agilent Sample Scheduler Agilent Technologies publication 5994-3153EN 2021
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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