Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32128
Shannon-Weaver Biodiversity of Neutrophils in Fractal Networks of Immunofluorescence for Medical Diagnostics

Authors: N.E.Galich


We develop new nonlinear methods of immunofluorescence analysis for a sensitive technology of respiratory burst reaction of DNA fluorescence due to oxidative activity in the peripheral blood neutrophils. Histograms in flow cytometry experiments represent a fluorescence flashes frequency as functions of fluorescence intensity. We used the Shannon-Weaver index for definition of neutrophils- biodiversity and Hurst index for definition of fractal-s correlations in immunofluorescence for different donors, as the basic quantitative criteria for medical diagnostics of health status. We analyze frequencies of flashes, information, Shannon entropies and their fractals in immunofluorescence networks due to reduction of histogram range. We found the number of simplest universal correlations for biodiversity, information and Hurst index in diagnostics and classification of pathologies for wide spectra of diseases. In addition is determined the clear criterion of a common immunity and human health status in a form of yes/no answers type. These answers based on peculiarities of information in immunofluorescence networks and biodiversity of neutrophils. Experimental data analysis has shown the existence of homeostasis for information entropy in oxidative activity of DNA in neutrophil nuclei for all donors.

Keywords: blood and cells fluorescence in diagnostics ofdiseases, cytometric histograms, entropy and information in fractalnetworks of oxidative activity of DNA, long-range chromosomalcorrelations in living cells.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1570


[1] J.P. Robinson, W. O Carter, P. K. Narayanan, "Oxidative product formation analysis by flow cytometry." In: Methods in Cell Biology, Vol 41, eds. Z. Darzynkiewicz, J.P. Robinson, H.A. Crissman (Academic press ,San Diego 1994), pp.437-447.
[2] M.V.Filatov, E. Y. Varfolomeeva, E.A. Ivanov, "Flow cytofluorometric detection of inflammatory processes by measuring respiratory burst reaction of peripheral blood neutrophils," Biochemical and molecular medicine vol.55, pp.116-121, 1995
[3] C.F. Bassoe, Li Nianyu, K Ragheb, G. Lawler, J. Sturgis, J.P. Robinson, "Investigations of Phagosomes, Mitochondria, and Asidis Granules In Human Neutrophils Using Fluorescence Probes," Cytometry Part B (Clinical Cytometry),vol. 51B, pp. 21-29, 2003
[4] H.M..Shapiro. Practical Flow Cytometry John Wiley &Sons, New York, 2003
[5] W. Weaver, C.E. Shannon, The Mathematical Theory of Communication University of Illinois, Urbana, 1949
[6] I.I. Eliazar1, I. M. Sokolov, "Diversity of Poissonian populations." Phys.Rev.E, vol.81, P.011122, 2010
[7] J. Feder, Fractals Plenum Press NewYork, 1988
[8] N.E.Galich, "Cytometric Distributions and Wavelet Spectra of Immunofluorescence Noise in Medical Diagnostics ," eds . O. Dossel and W.Schlegel (Eds.): WC 2009, IFMBE Proceedings 25/IV, Springer Berlin Heidelberg , pp. 1936-1939,2009
[9] I.D .Vladescu, M.J. McCaule, I. Rouzina , M.C. Williams, "Mapping the phase diagram of single DNA molecules forced-induced melting in the presence of ethidium," Phys. Rev. Lett., Vol. 95, P. 158102, 2005
[10] N.E.Galich, M.V.Filatov, "Laser Fluorescence Fluctuation Excesses in Molecular Immunology Experiments," Proc. SPIE, Vol. 6597, P. 6597OL, 2007
[11] N.E.Galich, M.V. Filatov, "Delay, change and bifurcation of the immunofluorescence distribution attractors in health statuses diagnostics and in medical treatment.," Proc. SPIE Vol. 7377, 73770C Jun. 16, 2009
[12] N.E.Galich, " Bifurcations of averaged immunofluorescence distributions due to oxidative activity of DNA in medical diagnostics," (Accepted for publication), Biophys.rev.lett., to be published ,2010
[13] Haiyuan Yu¤, Yu Xia¤, V. Trifonov and M. Gerstein, ".Design principles of molecular networks revealed by global comparisons and composite motifs," Genome Biology, vol.7:R55 m(doi:10.1186/gb-2006- 7-7-r55),2006
[14] R. T. Glinton, P. Scerri, K. Sycara, " Towards the Understanding of Information Dynamics in Large Scale Networked Systems,"Information fusion.2009.fusion-09.12-th International conference.6-9 July ,Seattle, WA pp. 794 - 801, 2009
[15] Benoit B. Mandelbrot , "Multifractal Power Law Distributions: Negative and Critical Dimensions and Other ÔÇÿÔÇÿAnomalies,--Explained by a Simple Example," Journal of Statistical Physics, Vol.110, Nos. 3-6, March,pp.739-774, 2003