Grow: visualising nature at Nanoscale (2011)

Abstract

variable depending on format projection, duration 2min. GROW is a project in its formative stages. Here, Erica Seccombe aims to capture the dynamic process of propagating agricultural seeds from embryo to fi rst leaf stage by visualising the process using microscopic 3D data. In essence, this work is in 4D (3D data + time). Through GROW Seccombe attempts to transcend conventional time-lapse images of seeds germinating and to create new work that has meaning beyond a purely scientifi c 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. GROW: visualising nature at nanoscale (work in progress). Digital animation, QuickTime fi le, 3 mins. 3D Micro CT dataset of a sprouting mungbean, 2010. Erica Seccombe works with Associate Professor Tim Senden, Dr Andrew Kingston, Dr Ajay Limaye at the Australian National University’s Department of Mathematics, School of Physical Sciences and Engineering and the Super Computer Centre. Erica Seccombe is a 2010 Synapse Residency recipient with the Department of Applied Mathematics, Australian National University. The ANAT Synapse initiative is supported by the Australia Council for the Arts.