The development of phase-based techniques has accelerated the pace of X-ray imaging. Dark-field images are sensitive to inhomogeneities on a length scale below the system's spatial resolution, and phase contrast images are improved for detailed visibility. A new technique for X-raying luggage to find trace levels of explosives was developed by a team of researchers from University College London, Nylers Ltd., and XPCI Technology Ltd. They demonstrated how dark-field produces a texture specific to the substance being photographed and how combining it with traditional attenuation improves the ability to distinguish amongst threat materials. They have also published their work in Nature Communications journal, which involves adapting a conventional X-ray detector and using a deep-learning application to better detect hazardous chemicals in luggage.

While most of us think of airport security as fairly accurate, studies have shown that screeners fail to detect weapons, drugs, and explosives up to 80 per cent of the time. But a new X-ray method could make it much easier for screeners to detect these illegal and dangerous items. Researchers from University College London used AI to develop the approach, which they say can detect items with 100 per cent accuracy. Tristram Riley-Smith, co-author of the study, said: 'This research has demonstrated the potential to transform the detection of covert threats around the world, as well as such varied contraband as narcotics and illicit wildlife commodities.' The X-ray technique relies on the fact that microscopic changes or irregularities in objects cause X-ray beams to bend as they pass through them – something the researchers discovered in previous research.

A team of engineers from the Washington University in St. Louis are turning insects into cyborgs. Backed by the Navy, the team are developing bomb-sniffing locusts. The research team, led by Baranidharan Raman, received a three-year grant of 750,000 from the Office of Naval Research. Raman and his team found out that the bugs could be trained to discern specific scents even if there are other odors present. Raman believes that the insects will be much better than robots due to their antennae having many natural sensors.