TissueStack: a new way to view your imaging data

Abstract

Event Abstract Back to Event TissueStack: a new way to view your imaging data Andrew Janke1*, Harald Waxenegger1, Jeremy Ullmann1 and Graham Galloway1 1 Center for Advanced Imaging, Australia It's no secret that the increases in resolution possible with modern imaging equipment has led to an explosion in data. This increase is not always something that is easy to deal with, especially in studies that involve multiple modalities and sites. University and research networks while continually improving still do not allow those in the neuroinformatics field to seamlessly share multi-terrabye images. This leads to the problem in multi-site studies and often in smaller projects in which no one is sure where or how to access the current version of all the data without having to download TB's of data, make a small change and then upload again. This problem is not unique to the neuroimaging field and as such we have endeavoured to make use of techniques from the very closely related field of GIS (Graphical Information Systems) in this project. There has been some work done in this area, most notably with the web interfaces of the Allen Brain atlas and CATMAID. Both of these however are primarilly written for the viewing of multiple 2D images, typically of histology. TissueStack is an Open Source project that is currently available on GitHub ( http://github.com/NIF-au/TissueStack ) and at the time of this abstract is in alpha release phase for comment. Its purpose is to allow researchers to view multi-TB imaging datasets online vai an interface style that most people are familiar with (online mapping) at reasonable speed. The application uses HTML5 Canvas elements and thus will work equally well on mobile devices (tablets, phones, etc). The current proof of concept can be viewed at http://www.imaging.org.au/tissuestack and is displaying a 850MB 30um c57/bl mouse model. The application generates multi-scale tiled images from an input dataset in order to optimise viewing speed for a given network connection. Data input formats currently include MINC, NiFTI and OpenSlide formats. Future versions of the application will allow the federation of data from multiple sites and the overlay of pre-aligned muti-modality data such Histology and MRI. Acknowlegements: This project is supported by the Australian National Data Service (ANDS). ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super Science Initiative. Keywords: General neuroinformatics Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Poster Topic: Neuroinformatics Citation: Janke A, Waxenegger H, Ullmann J and Galloway G (2013). TissueStack: a new way to view your imaging data. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2013.08.00003 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 Mar 2013; Published Online: 27 Nov 2013. * Correspondence: Dr. Andrew Janke, Center for Advanced Imaging, Brisbane, Australia, andrew.janke@cai.uq.edu.au Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Andrew Janke Harald Waxenegger Jeremy Ullmann Graham Galloway Google Andrew Janke Harald Waxenegger Jeremy Ullmann Graham Galloway Google Scholar Andrew Janke Harald Waxenegger Jeremy Ullmann Graham Galloway PubMed Andrew Janke Harald Waxenegger Jeremy Ullmann Graham Galloway Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.