1 year ago
23
Tomography, Vol. 9, Pages 750-758: An Online Repository for Pre-Clinical Imaging Protocols (PIPs)
Tomography doi: 10.3390/tomography9020060
Authors: Seth T. Gammon Allison S. Cohen Adrienne L. Lehnert Daniel C. Sullivan Dariya Malyarenko Henry Charles Manning David A. Hormuth Heike E. Daldrup-Link Hongyu An James D. Quirk Kooresh Shoghi Mark David Pagel Paul E. Kinahan Robert S. Miyaoka A. McGarry Houghton Michael T. Lewis Peder Larson Renuka Sriram Stephanie J. Blocker Stephen Pickup Alexandra Badea Cristian T. Badea Thomas E. Yankeelov Thomas L. Chenevert
Providing method descriptions that are more detailed than currently available in typical peer reviewed journals has been identified as an actionable area for improvement. In the biochemical and cell biology space, this need has been met through the creation of new journals focused on detailed protocols and materials sourcing. However, this format is not well suited for capturing instrument validation, detailed imaging protocols, and extensive statistical analysis. Furthermore, the need for additional information must be counterbalanced by the additional time burden placed upon researchers who may be already overtasked. To address these competing issues, this white paper describes protocol templates for positron emission tomography (PET), X-ray computed tomography (CT), and magnetic resonance imaging (MRI) that can be leveraged by the broad community of quantitative imaging experts to write and self-publish protocols in protocols.io. Similar to the Structured Transparent Accessible Reproducible (STAR) or Journal of Visualized Experiments (JoVE) articles, authors are encouraged to publish peer reviewed papers and then to submit more detailed experimental protocols using this template to the online resource. Such protocols should be easy to use, readily accessible, readily searchable, considered open access, enable community feedback, editable, and citable by the author.
