Abstract
This chapter describes a novel way of carrying out image analysis, reconstruction and processing tasks using cloud based service provided on the Australian National eResearch Collaboration Tools and Resources (NeCTAR) infrastructure. The toolbox allows users free access to a wide range of useful blocks of functionalities (imaging functions) that can be connected together in workflows allowing creation of even more complex algorithms that can be re-run on different data sets, shared with others or additionally adjusted. The functions given are in the area of cellular imaging, advanced X-ray image analysis, computed tomography and 3D medical imaging and visualisation. The service is currently available on the website www.cloudimaging.net.au.
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References
AAF Website, (2013), see www.aaf.edu.au
M. Almeer, Cloud hadoop map reduce for remote sensing image analysis. J. Emerg. Trends Comput. Inf. Sci. 3, 637–644 (2012)
Amazon, Amazon Web Services (AWS) (2013), see aws.amazon.com
T. Bednarz, P. Szul, Y. Arzhaeva, D. Wang, N. Budett, A. Khassapov, S. Chen, P. Vallotton, R. Lagerstrom, T. Gureyev, J. Taylor, Biomedical image analysis and processing in clouds, in International Symposium on Computational Models for Life Sciences, Sydney, vol. 1559, Nov 2013, pp.77–79
T. Bednarz, D. Wang, Y. Arzhaeva, P. Szul, S. Chen, A. Khassapov, N. Budett, T. Gureyev, J. Taylor, Cloud-based image analysis and processing toolbox for biomedical applications, in 8th IEEE International Conference on eScience, Chicago, Oct 2012, pp. 8–12
T. Bednarz, D. Wang, Y. Arzhaeva, P. Szul, S. Chen, A. Khassapov, N. Budett, T. Gureyev, J. Taylor, Cloud-based workflows tools supporting medical imaging, in International Conference on the Use of Computers in Radiation Therapy ICCR 2013, Melbourne, May 2013, pp. 6–9
G. Berriman, E. Deelman, P. Groth, G. Juve, The application of cloud computing to the creation of image mosaic and management of their provenance, in SPIE Conference 7740: Software and Cyberinfrastructure for Astronomy, San Diego, ed. by N. Radziwill, A. Bridger, 2010
Characterisation Virtual Laboratory, (2013), see www.massive.org.au/special-projects/characterisation-virtual-laboratory
S. Chen, T. Bednarz, P. Szul, D. Wang, Y. Arzhaeva, N. Burdett, A. Khassapov, Galaxy + Hadoop: toward a collaborative and scalable image processing toolbox in cloud, in 3rd International Workshop on Cloud Computing and Scientific Applications (CCSA), Berlin, 2013
Cloud Based Image Analysis and Processing Toolbox Blog, see cloudimaging.blogspot.com.au
Cloud Based Image Analysis and Processing Toolbox Dashboard, see cloudimaging.net.au
Cloud Based Image Analysis and Processing Toolbox User Manual, see goo.gl/99mEPV
CloudMan, see usecloudman.org
Galaxy Website, (2012), see usecloudman.org
Genomics Virtual Laboratory, (2013), see genomicsvirtuallab.wordpress.com
Google App Engine, (2013), see code.google.com/appengine
HCA-Vision, see www.hca-vision.com
Microsoft (2012), Windows Azure, see www.microsoft.com/windowazure
MILXView 3D, see http://research.ict.csiro.au/software/milxview
Multi-modal Australian ScienceS Imaging and Visualisation Environment (MASSIVE), see www.massive.org.au
NeCTAR Official Website, see www.nectar.org.au
OpenStack Website, see www.openstack.org
Shanghai Synchrotron, see ssrf.sinap.ac.cn
SIMAGIS, Cloud Software for Microscopy and Image Analysis (2013), live.simagis.com/home
Slice:Drop website (2013), slicedrop.com
X-TRACT, see http://www.ts-imaging.net
Acknowledgements
The authors would like to acknowledge NeCTAR and CSIRO for funding for the project RT035 Cloud Based Image Analysis and Processing Toolbox.
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Bednarz, T. et al. (2015). Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks. In: Sun, C., Bednarz, T., Pham, T., Vallotton, P., Wang, D. (eds) Signal and Image Analysis for Biomedical and Life Sciences. Advances in Experimental Medicine and Biology, vol 823. Springer, Cham. https://doi.org/10.1007/978-3-319-10984-8_11
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DOI: https://doi.org/10.1007/978-3-319-10984-8_11
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