Agilent Introduces Enhanced Electronic Laboratory Notebook
News Nov 19, 2013
Agilent Technologies Inc. introduced the latest version of its electronic laboratory notebook (ELN) software, OpenLAB ELN 4.2. This newly enhanced software enables scientists and laboratory managers to quickly and easily capture, reuse, manage and share scientific results obtained from virtually any analytical software application.
"With this new revision, we continue to strengthen OpenLAB ELN as a high-productivity alternative to traditional paper notebooks," said Bruce von Herrmann, vice president and general manager of Agilent's Software and Informatics business. "Its new features save valuable time and foster collaboration; the payoff is a shorter path to results and better-informed decision-making."
The acceptance of any ELN is highly dependent on the ease with which scientists can capture and share results from the variety of analytical tools they use. The new OpenLAB ELN SendTo capability enables users to easily drag and drop files, copy and paste content, or create a text note to send to other OpenLAB ELN users. It also features a virtual printer that captures scientific results in PDF format from any application, without having to leave OpenLAB ELN. The Microsoft Windows "Send to" feature can also be used to send a file to OpenLAB ELN. Files sent in Excel or Word formats can be edited within OpenLAB ELN.
Agilent OpenLAB ELN is part of an industry-leading suite of software products designed to integrate and manage scientific information throughout its lifecycle and across the laboratory and the enterprise.
Automating caricatures poses challenges due to the amount of intricate details and shapes involved and level of professional skill required. A team of computer scientists have developed an innovative deep learning-based approach to automatically generate the caricature of a given portrait
efficiently and realistically.
Google has signed an agreement to join CERN's openlab program. openlab is a public-private partnership with companies and other research organizations to develop information and communication technology (ICT) solutions. Google wants to explore possibilities for joint research and development projects in cloud computing, machine learning, and quantum computing.
With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it's never been more important to look at how they arrive at decisions. A new approach out of MIT demonstrates that the main culprit is not just the algorithms themselves, but how the data itself is collected.
Adaptive Designs in Clinical Trials conference 2019
Apr 01 - Apr 02, 2019
International Conference on Cell and Structural biology
Jul 15 - Jul 16, 2019