Jens Doerup and
Michael Schacht Hansen
University of Aarhus, Denmark
Abstract:
Most university students of cell biology are required to gain understanding of cell structure and function from texts and from the study of printed micrographs. Printed electron micrographs, when reproduced in text books or on web pages, loose detail and resolution and there is a direct dilemma between the wish to print large images to show fine details and the increasing expense, or load time of reproduction large images.
QTVR panoramas are non-linear movies well suited as a dynamic and interactive image format. Students interact with the movie like with a true microscope: Pan, zoom, search, study, and learn. Traditionally, QTVR movies have been produced in QTVR authoring studio software on Apple computers only. Recently, however, an increasing number of new software tools have been developed both for the Mac and PC platform. QTVR movies run freely from the web, independent on platform, once the user has the QuickTime plug-in installed. However, the large images needed for detailed EM information requires fast Intranets, download to a proxy server or the use of CD’s for image distribution.
The QTVR electron microscope was developed to exploit the QTVR
movie format as an interactive learning resource. Topics focus on
characteristic problems in cell biology and histology with emphasis on
functional implications.
Typically three panoramic movies were linked together in order to
span >from low EM magnifications (~ X500) to very high magnifications (>
100.000).
Examples of movies can be studied at: http://www.intermed.dk/qtvr
Benefit in Attending
Session:
This presentations illustrates how QTVR may be used to emulate an
Electron Microscope.
Movies are incorporated into Director/Shockwave for increased
control in a learning environment.
QTVR-EM may be used to enhance learning in cell biology and
histology.
PRIMARY AUTHOR'S
INFORMATION
Jens Doerup, MD PhD, Associate Professor
Section for Health Informatics,
Department of Biostatistics,
University of Aarhus, Vennelyst Boulevard 6
8000 Aarhus C, Denmark.
Telephone Number: +45 8942 6123
Fax Number: +45 8942 6140
E-mail Address: jd@hi.au.dk
Web Site: http://www.hi.au.dk/jd
Michael Schacht Hansen
Section for Health Informatics,
Department of Biostatistics,
University of Aarhus, Vennelyst Boulevard 6
8000 Aarhus C, Denmark
Telephone Number(s): +45 8942 6123
Fax Number(s): +45 8942 6140
E-mail Address(es): jd@hi.au.dk
Web Site(s): http://www.hi.au.dk/jd