12 papers · ranked by Valyu relevance
Alexis Casas, Matthieu Bultelle, Richard Kitney
The paper addresses the application of engineering biology strategies and techniques to the automation of laboratory workflow-primarily in the context of biofoundries and biodesign applications based on the Design, Build, Test and Learn paradigm. The trend toward greater automation comes with its own set of challenges.…
Krzysztof M. Nowak, Robert E. Przekop, Stefano Mariani
Highlights 1. Automated “data factory” is one of the solutions to the data starvation problem in AI-driven discovery of polymers and composites. 2. Robotic platforms with in-line rheology produce thousands of standardized material variants annually at low cost. 3. Continuous Material Management with physical tagging…
Diane M. Wiener, Emily Huynh, Ilakkiyan Jeyakumar, Sophie Bax + 10 more
Recent advances in gene editing are enabling the engineering of cells with an unprecedented level of scale. To capitalize on this opportunity, new methods are needed to accelerate the different steps required to manufacture and handle engineered cells. Here, we describe the development of an integrated software and…
Marcel Parciak, Markus Suhr, Christian Schmidt, Caroline Bönisch + 3 more
'Benjamin Löhnhardt' 'Dorothea Kesztyüs' 'Tibor Kesztyüs'] Background Secondary use of routine medical data is key to large-scale clinical and health services research. In a maximum care hospital, the volume of data generated exceeds the limits of big data on a daily basis. This so-called “real world data” are…
Blair Subbaraman, Orlando de Lange, Sam Ferguson, Nadya Peek + 1 more
'Talib Al-Ameri'] Laboratory automation can boost precision and reproducibility of science workflows. However, current laboratory automation systems are difficult to modify for custom applications. Automating new experiment workflows therefore requires development of one-off research platforms, a process which requires…
Nicole Rupp, Robert Ries, Rebecca Wienbruch, Thole Zuchner
The large volumes of samples to be analysed every day would be impossible to manage without laboratory automation. As laboratory procedures have progressed, so have the tasks of laboratory personnel. With this feature article, we would like to provide (bio)chemical practitioners with little or no knowledge of…
Domenico Calcaterra, Orazio Tomarchio
With the wide adoption of cloud computing across technology industries and research institutions, an ever-growing interest in cloud orchestration frameworks has emerged over the past few years. These orchestration frameworks enable the automated provisioning and decommissioning of cloud applications in a timely and…
Mohammad M. Abdellatif, Osama Desouki, Mohamed AbdelRaheem
Network automation is an emerging technology which gained a lot of traction over the past few years. NA can be used at multiple levels, such as topology creation, configuration generation, and testing. It can save a great amount of time and effort compared to conventional ways. Here, the automated topology creation…
Mark Seaton
As highlighted in the example above, automating a task is only one part of the challenge. Great care is needed in the justification of automation, but getting it right and the benefits can be very compelling. This can be a complex area to understand, and so I will share some of my insights from working both in…
Chamarthi Maheswar Raju, Decibel P. Elpa, Pawel L. Urban
Maheswar Raju, Decibel P. Elpa, Pawel L. Urban Sensing systems necessitate automation to reduce human effort, increase reproducibility, and enable remote sensing. In this perspective, we highlight different types of sensing systems with elements of automation, which are based on flow injection and sequential injection…
Chafik Barbar, Phillip D Bass, Rachel Barbar, Jordyn Bader + 1 more
1. The long-standing challenges to automation of meat processing, particularly the variability of meat products, are being solved by advancements in artificial intelligence technology, rather than advanced mechanical engineering. 2. The next generation of automation will be a software product rather than a hardware…
Matthieu Bultelle, Alexis Casas, Richard Kitney
Applications in engineering biology increasingly share the need to run operations on very large numbers of biological samples. This is a direct consequence of the application of good engineering practices, the limited predictive power of current computational models and the desire to investigate very large design…