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Health researchers have developed a new method for producing PET radiotracers.

The Infrared Microspectroscopy beamline combines the high brilliance and collimation of the synchrotron beam through a Bruker V80v Fourier Transform Infrared (FTIR) spectrometer and into a Hyperion 3000 IR microscope to reach high signal-to-noise ratios at diffraction limited spatial resolutions between 3-8 μm.

Australia part of global renaissance in fusion power research symbolised by ITER experiment

Frequently asked questions on the Mo-99 Manufacturing Facility and the ANSTO Nuclear Medicine project.

Atmospheric scientists have developed a new technique to measures the naturally-occurring radioactive gas radon for use in accurately categorising the degree of atmospheric mixing.

ANSTO is responsible for the Little Forest Legacy Site (LFLS) located within the ANSTO Buffer Zone boundary. This site, formerly known as the Little Forest Burial Ground (LFBG), was used by the Australian Atomic Energy Commission (AAEC) during the 1960’s to dispose of waste containing low levels of radioactivity and beryllium oxide (non-radioactive) in a series of shallow trenches. There has been regular monitoring of the site since 1966 and the results have been reported in ANSTO’s environmental monitoring reports.

China’s vertical sandstone pillars studied using nuclear techniques

Scientists at ANSTO characterise structures with atomic detail using probes such as x-rays, electrons, neutrons and ions.

Over 250 students took part in ANSTO's annual Science and Engineering Challenge with an all-girl school taking top honours.

With enhanced submicron spatial resolution, speed and contrast, the Micro-Computed Tomography beamline opens a window on the micron-scale 3D structure of a wide range of samples relevant to many areas of science including life sciences, materials engineering, anthropology, palaeontology and geology. MCT will be able to undertake high-speed and high-throughput studies, as well as provide a range of phase-contrast imaging modalities.

An international collaboration led by The University of Sydney and supported by ANSTO has developed an advanced, innovative artificial intelligence application that could be used to help examine tissue samples and identify signs of disease/