@article{(Open Science Index):https://publications.waset.org/pdf/10005624,
	  title     = {Development of a Telemedical Network Supporting an Automated Flow Cytometric Analysis for the Clinical Follow-up of Leukaemia},
	  author    = {Claude Takenga and  Rolf-Dietrich Berndt and  Erling Si and  Markus Diem and  Guohui Qiao and  Melanie Gau and  Michael Brandstoetter and  Martin Kampel and  Michael Dworzak },
	  country	= {},
	  institution	= {},
	  abstract     = {In patients with acute lymphoblastic leukaemia (ALL), treatment response is increasingly evaluated with minimal residual disease (MRD) analyses. Flow Cytometry (FCM) is a fast and sensitive method to detect MRD. However, the interpretation of these multi-parametric data requires intensive operator training and experience. This paper presents a pipeline-software, as a ready-to-use FCM-based MRD-assessment tool for the daily clinical practice for patients with ALL. The new tool increases accuracy in assessment of FCM-MRD in samples which are difficult to analyse by conventional operator-based gating since computer-aided analysis potentially has a superior resolution due to utilization of the whole multi-parametric FCM-data space at once instead of step-wise, two-dimensional plot-based visualization. The system developed as a telemedical network reduces the work-load and lab-costs, staff-time needed for training, continuous quality control, operator-based data interpretation. It allows dissemination of automated FCM-MRD analysis to medical centres which have no established expertise for the benefit of an even larger community of diseased children worldwide. We established a telemedical network system for analysis and clinical follow-up and treatment monitoring of Leukaemia. The system is scalable and adapted to link several centres and laboratories worldwide.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {10},
	  number    = {9},
	  year      = {2016},
	  pages     = {472 - 477},
	  ee        = {https://publications.waset.org/pdf/10005624},
	  url   	= {https://publications.waset.org/vol/117},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 117, 2016},
	}