Grow 2013, (detail), single channel projection, formatted for stereoscopic viewing with circular polarized glasses, silver screen, duration: 6:00min, 3D Microcomputed tomography rendered and animated in Drishti.

Erica Seccombe GROW 2013, 6min duration. Created for a stereoscopic projection installation. GROW encapsulates a real-life event as a 4D, virtual dataset, allowing an audience to experience the phenomena of seeds germinating as never seen before. GROW reflects a techno-scientific culture where our relationship to nature and our experience and understanding of the natural world is increasingly mediated through computational technologies. Seeds embody the potential for new growth and the future, but this unique time-lapse anchors us in the present reminding us that life is only momentary.  

GROW is a project in its formative stages, aiming to capture the dynamic process of propagating agricultural seeds from embryo to first leaf stage by visualising the process using microscopic 3D data. In essence, this work is in 4D (3D data + time). GROW attempts to transcend conventional time-lapse images of seeds germinating and to create new work that has meaning beyond a purely scientific interpretation of data. Micro-CT can now capture movement as an object is transformed; such as a seed sprouting from an embryonic state. This data is visualised through a unique scientific volume exploration tool, Drishti. 

Erica Seccombe, Germinating seeds, work in progress (detail), 2013, 3D prints of mung beans and alfalfa in various forms depicting time-lapse of germination.  Installed at the ANU School of Art Foyer Gallery, VCCVAFS exhibition 2014. 

 Cassie McCullagh, Roberta Ivers, Dan C, viewing 'Grow' in 3D at the Powerhouse Museum in the exhibition Synapse a Selection for ISEA 2013

image: the beginning and end point of a sprouting mung bean - overlayed, 3D XCT technology, 2010

Credits, Erica Seccombe, A/Prof Tim Senden, Dr Ajay Limaye, ANU Department of Mathematics, School of Physical Sciences and Engineering and the Super Computer Centre, Australian National University.
 

GROW

Various works, digital animation, 3D printing

GROW is a project in which I am investigating the aesthetic possibilities of computational extension of vision through 3D Microcomputed Tomography X-rays (Micro-CT) in the XCT Facility at the ANU Department of Mathematics. My intention for this project is to capture in 3D the dynamic process of propagating agricultural seeds, from embryo to first leaf stage. Micro-CT is conventionally static but there is now ground-breaking work capturing movement as an object is transformed; such as a seed sprouting from an embryonic state. I am visualising this data through a unique scientific volume exploration tool Drishti.

My premise behind my proposal capturing the germination of economic seeds - such as mung bean, corn, sunflower, soy and wheat - stems from my interest in agricultural philosophy and the issues raised about our future in the era of genetic modification. In thinking, researching and developing GROW, I am considering contemporary questions surrounding the comparative values between perceived natural and artificially cultivated food sources.

Through GROW I am attempting to merge science, technology, art and culture in an innovative way. By transcending conventional images of seeds germinating I am endeavouring to create new work that has meaning beyond a purely scientific interpretation of data.

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