SLAS 2019

February 2-6, 2019

Washington, DC, USA

Short Course: Introduction to Laboratory Automation

Saturday, Feb 2, 2019
James M. Gill II, Senior Consultant, BFL Consulting
Burkhard Schaefer, President, BSSN Software

This course presents a broad introduction to laboratory automation in the R&D laboratory environment. A general understanding of a laboratory environment is helpful.

Topics include:

  • Succeeding With Laboratory Automation: Impacting Your Organization and Tactical Strategy
  • Automated Systems: Architectures, Failures and Complexity; Metrics and monitoring; Interfaces; Automated ID and Vision Systems
  • Programming Automation and Managing Data: Method Building; Graphical and Automatic Programming
  • Scheduling; Build vs. Buy Strategy; Data Analysis Systems; LIMS; Data Transfer and Archival
  • Automation Technologies: Current Trends and Tools

Short Course: Data Management in the Age of Big Data, Mobile, and the Cloud

Sunday, Feb 3, 2019
Burkhard Schaefer, President, BSSN Software

This data management course provides decision makers and practitioners from bio-pharma, healthcare, and academia with a comprehensive overview of IT trends in laboratory automation, data management, and systems integration. It highlights the current hot fields in data management, big data, cloud computing and mobile technologies.

The short course will bring you up to speed on these cutting-edge technologies. It provides crucial guidance for assessing how these new technologies fit into your laboratory data landscape. The instructor supplies practical guidance and examples for how to apply these techniques to laboratory workflows.

Podium Presentation: SiLA & AnIML: Lab of the Future, meet Data Analytics

Burkhard Schaefer, President, BSSN Software
Dr Patrick Courtney, Director, Tec-Connection

Connectivity and seamless interoperability are among the goals for many lab of the future projects. Standard protocols and data formats serve as infrastructure enablers for integration of instruments, systems, and seamless data flow.

We review the progress of the AnIML and SiLA standardization initiatives, which can provide key building blocks to establish interoperability.

While AnIML specifies an XML-based standard data format for analytical data, SiLA provides webservice-based communication standards for interfacing with instruments. Clients can use SiLA to discover and interact with services in the lab. These services may be instruments or other systems. All services communicate using an open protocol, built on cutting-edge web technologies. AnIML provides the data format to plan and document lab experiments.  By joining forces, a new ecosystem is emerging that allows end-to-end integration of instrument control, data capture, and enterprise system (ELN, LIMS) connectivity.