Science Image Competition – SIGNET and CPIB

Science Image Competition – SIGNET & CPIB

Over 200 members of the public voted for their favourite science image at the University’s MayFest Community Open Day on Saturday 7 May.

The four short-listed images represented different ‘multicellular systems’ (the competition theme), and showcased different techniques being used by researchers at Nottingham.

The winners:

First prize: Fluorescent neurons reveal their secrets – Martina Marangoni, Biomedical Sciences

YFP fluorescent neurons in the cortex layer V of an R6/2 mouse at 3-month age. R6/2 transgenic mice, model of Huntington’s disease, were crossed with YFP-H mice that express a yellow fluorescent protein (YFP) in a subset of neurons. Fluorescent neurons can be traced over long distance, from the cell body and dentrites to the axon. Anti-huntingtin aggregates immunostaining reveals the presence of big intra-nuclear aggregates and small extracellular aggregates. The image was acquired, in collaboration with Tim Self from ICS, with confocal imaging using a LSM 710 Laser Scanning Microscope.

Second prize: Inside or Outside – Caiyun Yang, Biosciences

The superposed confocal microscopy image shows part opening site of Arabidopsis anther with fully developed pollen grains. The images were captured by using confocal microscopy (TCS SP2, Leica). Opening anthers stained with Acridine orange 0.01% (w/v) and ethidium bromide 0.00005% (w/v) were dissected onto glass slide and images were taken by using excitations 590nm (red fluorescence) and 520nm (green fluorescence).

This image shows that pollen releasing is a complicated process; dependents on coordinated multicellular systems: fully developed pollen grains; specific lignified cells (endothecium), splitting of specific cells (stomium) and dehydration of anther wall.

Third prize: 3D virtual section of a Poppy seed head – Craig Sturrock, Biosciences

This virtual cross-section of a Poppy seed head was obtained from a X-ray Computed Tomography scan (CT Scan). CT is an imaging technique that allows the non-destructive 3D visualisation of the interior of a solid object by mapping material density variations. From its origins in diagnostic medicine, the technique has revolutionised many areas of science and engineering.

We would like to thank everyone who entered the competition, everyone who voted at MayFest, and to congratulate the winners on their success!

If you have a questions about this competition, please contact susie@cpib.ac.uk