14 September 2009

Felix Grant discovers Morphit, a series of tools to aid data analysis by scientists.

21 August 2009

Felix Grant finds that, for both text entry, and heavy duty work, LyX provides a mathematical environment that all can use consistently.

04 August 2009

Felix Grant reviews the latest version of Statsoft's flagship statistical analysis package.

24 June 2009

Felix Grant thought EndNote couldn't get any better -- but it just has.

24 June 2009

Felix Grant is impressed by this full-digit version upgrade (from 8 to 9) from Golden Software.

04 June 2009

Felix Grant finds the new MapleSim impressively easy to use.

01 June 2009

Felix Grant enjoys doing unfamiliar mathematics just for the pleasure of it with Maple 13.

13 May 2009

Felix Grant finds Mathematica tackling the home market.

11 May 2009

Felix Grant on a new SDK that can transfer 3D output from an originating application into the U3D form suitable for PDF embedding.

28 April 2009

Origin Pro 8 has been updated four times since our original review 18 months ago, and much has changed in that time.

17 February 2009

Knovel's technical reference information service, available since September through Adept Scientific, is an online catalogued library system aimed at engineers and applied scientists.

08 January 2009

Felix Grant reviews the latest version of Weisang's data analysis package, which brings together a flexible database and a range of unique tools for statisticians.



Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process


Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory


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.


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 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