2014 GSA Annual Meeting in Vancouver, British Columbia (19–22 October 2014)

Paper No. 342-4
Presentation Time: 1:45 PM

THE ROLE OF WHOLE DRAWER IMAGING IN INVERTEBRATE PALEONTOLOGY COLLECTIONS


MOLINEUX, Ann1, STILSON, Kelsey2 and GEIGERMAN, Faye M.1, (1)Non-vertebrate Paleontology Laboratory, Jackson School of Geosciences, University of Texas at Austin, J.J.Pickle Research Campus, 10100 Burnet Road, Austin, TX 78758, (2)Jackson School of Geosciences, University of Texas at Austin, Austin, TX 78705

Whole drawer imaging is an effective method to rapidly digitize large entomological collections, where the practical hurdle of acquiring millions of images of tiny specimens is a challenge. Various methods have been devised to acquire the imagery using a range of hardware and software. Some are extensions of standard camera protocols while others use new approaches. In most cases the end product desired is a high resolution image of every specimen in the drawer.

Invertebrate paleontology provides a very different challenge, drawers may contain widely varying specimen sizes and specimen integrity, and within the stratigraphic collection, specimens are of varying taxonomies. However, we see whole drawer imaging as a great asset. We are viewing it as an inventory tool providing enough resolution to allow the user the ability to recognize the specimen and read labels. These images are then attached to the drawer records in the database, Specify 6, and form a resource for tracking and monitoring. Essentially becoming a quality and security control. They also allow for quick virtual browses of the archive, that may be pertinent to selection of specimens for teaching or exhibit, or picking potential specimens for further research in a wide range of dimensions.

In all cases the need is to have complete coverage of relevant drawers; speed and versatility are essential. With those premises we have developed three protocols for rapid imaging of drawers. The first uses an iPad3 and requires that the drawer be removed from the cabinet. The second method includes an iPhone5, and the third adopts a new technology, GoogleGlass, where drawers may be imaged in situ. We discuss our findings from all three tests and our plans for future development of the project.