Andor Technology (Belfast, UK) and Bitplane, an image analysis software company acquired by Andor in 2009, have announced the launch of their 2013 Insight Awards.
This worldwide scientific imaging competition rewards visually stunning and scientifically captivating images, spectra, graphics and movies.
The Insight Awards are open to entries produced with either Andor equipment or Bitplane software regardless of the technique or application. The winner of each category will receive a new Apple iPad or Microsoft Surface tablet and will benefit from significant publicity of their work throughout a range of scientific publications.
The deadline for entries to the Insight Awards is February 28 2013 and contestants can submit an unlimited number of entries. Entries will be displayed on the Insight Awards web site after submission and the winners will be announced at the end of March 2013.
In the 2011 Insight Awards competition, the winning entry in the physical sciences category was submitted by Dr. Robert Marshall of Boston University, whilst the life sciences category was won by Dr. Satoshi Nishimura of the University of Tokyo.
"In previous years this competition has highlighted the wide variety of cutting-edge research carried out with Andor and Bitplane products by researchers all over the world," says Dr. Andrew Dennis, Andor’s Director of Product Management. "We are looking forward to rewarding more visually stunning and scientifically captivating entries through this year's competition."
Recent articles on Andor Technology that you might also find of interest.
1.Spectral imaging aids PV production
A joint team from the Department of Electrical and Computer Engineering at the National University of Singapore and the Institute of Applied Physics at the University of Karlsruhe in Germany has demonstrated an imaging technique to inspect photovoltaic (PV) panels.
2. Cameras help image live biological specimens in 3-D
Researchers at laboratories in Europe and the US have created new microscopes capable of imaging rapid biological processes in thick samples that can be used to study live biological specimens.
3.Hyperspectral imaging system detects defects on apples
A researcher at the University of Maryland (College Park, MD, USA) has shown that a hyperspectral image processing system can identify accurately 95 percent of the defects on the surface of Red Delicious apples.
-- Dave Wilson, Senior Editor,Vision Systems Design
