Digital Fish Library
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The Digital Fish Library (DFL) is a University of California San Diego project funded by the [[Biological Infrastructure Initiative[[ (DBI) of the National Science Foundation (NSF). The DFL creates 2D and 3D visualizations of the internal and external anatomy of fish obtained with magnetic resonance imaging (MRI) methods and makes these publicly available over the web.
The information core for the Digital Fish Library is generated using high-resolution MRI scanners housed at the Center for Functional Magnetic Resonance Imaging (CfMRI) multi-user facility at UC San Diego. These instruments use magnetic fields to take 3D images of animal tissues, allowing researchers to non-invasively see inside them and quantitatively describe their 3D anatomy. Fish specimens are obtained from the Marine Vertebrate Collection at Scripps Institute of Oceanography (SIO) and imaged by staff from UC San Diego's Center for Scientific Computation in Imaging (CSCI).
As of February 2010, the Digital Fish Library contains almost 300 species covering all five classes of fish, 56 of 60 orders, and close to 200 of the 521 fish families as described by Nelson, 2006. DFL imaging has also contributed to a number of published peer-reviewed scientific studies.
- Nelson, Joseph S. (2006). 'Fishes of the World'. John Wiley & Sons, Inc. ISBN 0-471-25031-7
- Runcie RM, Dewar H, Hawn D, Frank LR, Dickson KA. (2009). Evidence for Cranial Endothermy in the Opah (Lampris guttatus). Journal of Experimental Biology. 212(4):461-70.
- Rogers B, Lowe CG, Fernandez-Juricic E, and Frank LR. (2008). Utilizing magnetic resonance imagine (MRI) to assess the effects of angling-induced barotraumas on rockfish (Sebastes). Canadian Journal of Fisheries & Aquatic Sciences. 65:1245-1249.
- Sepulveda CA, Dickson KA, Frank LR & Graham JB. (2007). Cranial endothermy and a putative brain heater in the most basal tuna species, Allothunnus fallai. Journal of Fish Biology. 70(6): 1720-1733.
- Perry CN, Cartamil DC, Bernal D, Sepulveda CA, Theilmann RJ, Graham JB & Frank LR. (2007). Quantification of red myotomal muscle volume and geometry in the shortfin mako shark (Isurus oxyrinchus) and the salmon shark (Lamna ditropis), using T1-weighted magnetic resonance imaging. Journal of Morphology. 268(4):284-92.