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LIMS adapt to viral testing

Response to COVID-19 is helping to develop testing technology that will have far-reaching benefits beyond the global viral outbreak, finds Robert Roe

Increasing the flow

Sophia Ktori discusses the combination of drug discovery and cloud computing to rapidly select new candidate molecules in the fight against COVID-19 with researchers Christoph Gorgulla and Haribabu Arthanari

Designing the Future

Gemma Church investigates how modelling and simulation tools are used to design new components and systems

Looking at cancer

Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman

Tech focus: cooling

Increasingly power-hungry and high-density processors are driving the growth of liquid and immersion cooling technology

AI driven real-time diagnosis

Sophia Ktori discusses an autonomous AI platform for detecting diabetic retinopathy with Michael Abramoff, founder and executive chairman of IDx

EPEEC European programming

Robert Roe talks to Antonio Peña EPEEC, project coordinator and senior researcher for the Barcelona Supercomputing Center about progress on a European programming framework for HPC

Making the case for cloud

Robert Roe considers the latest cloud and SaaS technology, and the benefits it can provide to laboratories with today’s workflows and AI initiatives


Exascale efficiency

European researchers have developed a framework to boost the energy efficiency of CPU, GPU and FPGA resources, writes Robert Roe


AI accelerates drug development pipelines

For the potential for AI and machine learning methods in drug development to be realised, companies and organisations are forming partnerships to better understand and develop these technologies, writes 
Sophia Ktori

Winds of change

Advanced simulation tools provide a platform to develop advancements in energy generation technologies, writes Robert Roe

Data standards

As the amount of data increases, organisations are looking to data standards to increase the value of data in the laboratory, writes Sophia Ktori

Energy-efficient supercomputing

With a myriad of technologies available to HPC users, it is not always clear which technology provides the most energy-efficient solution for a given application, finds Robert Roe

Processing possibilities

As competition in the processor market heats up there are increasing options available to HPC users, writes Robert Roe

Exascale in Europe

Robert Roe looks at the development of exascale in Europe, funded through the European Commission, its member states and industry partners

Katrin cuts neutrino mass estimate

An international team of scientists that includes researchers at the Lawrence Berkeley National Laboratory and the Karlsruhe Institute of Technology (KIT), have announced a breakthrough in research which aims to measure the mass of the neutrino

Sea of data

Robert Roe explores the use of HPC storage technology in off-shore energy exploration

In silico heaven

Gemma Church investigates how simulation and modelling are helping expedite the development of cutting-edge medical devices

Maximising long-term value

Correct storage and use of data is the key to keeping data ‘current’ and relevant in modern laboratories, writes Sophia Ktori

PRACE encourages industry

Robert Roe speaks with Lee Margetts, chair of PRACE’s industrial advisory committee, about its work to increase the engagement of industrial HPC users

Mapping infection

Clare Sansom discusses the use of computational tools to help researchers map and treat infectious diseases

Controlling your data

Sophia Ktori takes a look at technology which helps labs carefully manage and store data securely

Supporting science

Robert Roe looks at HPC technologies that could enable the next generation of scientific breakthroughs

Oil Change

As the world makes better use of renewable energy, the Oil and Gas market aims to use more simulation to ensure sound decision making, writes Gemma Church

Specifying and Building the smart laboratory

This chapter looks at how to build a smart laboratory; what approaches to take; and how to deal with potential problems. Becoming ‘smart’ takes time, not only due to the level of investment required, but also because of the impact of change and the need to consider legacy requirements.


Beyond the laboratory

This chapter considers who cares about how smart the laboratory is, and why? It also looks at the broader business requirements and their impact on the laboratory, with an emphasis on productivity and business efficiency, integration with manufacturing and business systems, patent evidence creation, regulatory compliance, and data integrity and authenticity

Laboratory informatics tools

This chapter will look at the four major laboratory informatics tools – laboratory information management systems (LIMS), electronic laboratory notebooks (ELNs), laboratory execution systems (LES) and scientific data management systems (SDMS) – their differences and how they relate to each other. Each of these systems functions at or around the ‘Information’ layer (see Figure 1) and typically serves to collate data and information about the laboratory’s operations

Document management

This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value


This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories. 

However, the choice of best-of-breed laboratory instruments and instrument systems can present challenges when it comes to getting everything to work together in a seamless way. The final part of this chapter will look at the issue of standard data interchange formats, the extent of the challenge, and some of the initiatives to address them


The smart laboratory

This chapter discusses what we mean by a ‘smart laboratory’ and its role in an integrated business. We also look at the development of computerised laboratory data and information management; the relationships between laboratory instruments and automation (data acquisition); laboratory informatics systems (information management); and higher-level enterprise systems and how they align with knowledge management initiatives.

Dealing with data

Informatics experts share their experiences on the implementation of new technologies and managing change in the modern laboratory

An introduction to building a smart laboratory 2019

This chapter serves as an introduction to this guide, Building a Smart Laboratory 2019. We hope to highlight the importance of adopting smart laboratory technology but also to guide users through some of the challenges and pitfalls when designing and implementing paperless technologies in the laboratory.

Data analytics

This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment


In this guide we have attempted to coalesce much of the information required in order to design and implement as smart laboratory or, at the very least, to begin the process of laboratory automation. While it may seem like a challenging prospect, the underlying principles are simple and focused on crafting a strategy that will enable more productivity and insight to be generated from scientific research

The Need for Speed

Simulation and modelling increasingly expedite widespread change across the automotive industry, writes Gemma Church

Laboratory in the cloud

Cloud-based informatics software is growing fast thanks to highly flexible and customisable deployment methods, writes Sophia Ktori

Storage in life sciences

With data rates increasing and more complex challenges arising in life sciences, Robert Roe speaks with Panasas’ Jim Donovan and Dale Brantly about the benefits of using HPC for these workloads

Managing HPC resources

As HPC systems get larger and more complex, companies are developing services and tools to help users manage their resources effectively, writes Robert Roe

Reprogrammable HPC

FPGAs provide an early Insight into possibile architectural specialisation options for HPC and machine learning, writes Robert Roe