Abstract
Cell image processing and analysis is a crucial task in any health science laboratory. Cell counting is a common task usually made by technicians with the support of a custom software tuned with experiment requirements. In this work we present a web services based platform focused on the cell counting problem. Using OpenCF, a web services development framework, we integrate in a single platform services oriented to image processing and classifying, cell counting based on a set of parameters, and data post-processing (plot generation, datasheets, etc.). A GUI added to the platform helps to launch jobs with image sets, and the execution of different tasks from a web service based client.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Solomonides, T., McClatchey, R., Breton, V.: From grid to HealthGrid. In: Technology and Informatics, Amsterdam, Netherlands (September 2005)
Castillo, J.: Llceco: La laguna cell counter (2012), http://opencf.pcg.ull.es/redmine/projects/opencfcc
Santos, A., Almeida, F., Blanco, V.: Lightweight web services for high performace computing. In: Oquendo, F. (ed.) ECSA 2007. LNCS, vol. 4758, pp. 225–236. Springer, Heidelberg (2007)
Darrow, B.: Amazon is no.1 who’s next in cloud computing (2012)
Evangelinos, C.H.C.: Cloud computing for parallel scientific hpc applications: Feasibility of running coupled atmosphere-ocean climate models on amazons ec2. In: First Workshop on Cloud Computing and its Applications, Chicago, USA (2008)
Almeida, F., Blanco, V., Delgado, C., de Sande, F., Santos, A.: Idewep: Web service for astronomical parallel image deconvolution. J. Netw. Comput. Appl. 32(1), 293–313 (2009)
Fronckowiak, J.: Processing images with amazon web services (2008)
Perez, D., Crespo, J., Biomedical, A.A.: image processing integration through inbiomed: A web services-based platform. Biological and Medical Data Analysis, 34–43 (2005)
Zhang, J., Madduri, R., Tan, W., Deichl, K., Alexander, J., Foster, I.: Toward semantics empowered biomedical web services. In: 2011 IEEE International Conference on Web Services (ICWS), pp. 371–378 (July 2011)
Selinummi, J., Jenni Seppälä, O.Y.H., Puhakka, J.A.: Software for quantification of labeled bacteria from digital microscope images by automated image analysis. BioTechniques 39(6), 859–863 (2005)
Saveliev, P.: Pixcavator (2011), http://inperc.com/wiki/index.php?title=Cellcounting
GSA: Gsa image analyser (2012), http://image.analyser.gsa-online.de/
OpenCV: Hough circle transform (2012), http://opencv.itseez.com/doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.html .
Santos, A., Almeida, F., Blanco, V., Castillo, J.C.: Web services based scheduling in opencf. Journal of SuperComputing, 88–114 (2010)
Sempolinski, P., Thain, D.: A comparison and critique of eucalyptus, opennebula and nimbus. Critique, 417–426 (November 2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Castillo, J.C., Almeida, F., Blanco, V., Ramírez, M.C. (2014). Web Services Based Platform for the Cell Counting Problem. In: Lopes, L., et al. Euro-Par 2014: Parallel Processing Workshops. Euro-Par 2014. Lecture Notes in Computer Science, vol 8805. Springer, Cham. https://doi.org/10.1007/978-3-319-14325-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-14325-5_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14324-8
Online ISBN: 978-3-319-14325-5
eBook Packages: Computer ScienceComputer Science (R0)