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Theoretical Study and Simulation of Optical Fiber Mimicking the Nature of Biological Cells and Materials for the Improvement of Biomedical or Optical Image Processing


  • Department of Electronics and Communication Engineering, National Institute of Technology, Agartala, Jirania, Tripura 799046, India


Objectives: The objective of this paper is to study the characteristics of different biological cells and materials that act as optical fibers and simulation of an optical fiber mimicking their characteristics. Methods/Statistical analysis: For the simulation procedure we suitably choose materials for optical fibers. The study was initiated with SM800 core and silica cladding. The entire simulation has been done using optical fiber toolbox OFT2.1 available in MATLAB R2014a. The operating wavelength has been taken as 400-2000 nm. We have tried here to simulate and design an optical fiber similar to the characteristics of Muller cells which are the living optical fibers in vertebrate retina. Findings: A number of electrical and optical field intensity patterns have been simulated by varying different wavelengths in the whole range i.e. 400-2000 nm and also by keeping the diameter of the optical fiber identical to that of Muller cells for the sake of maintaining similarity. After plotting the graph we found that the intensity increases with increase in wavelength Thus due to inversion property of Muller cells the optical intensity pattern got inverted in our designed fibre like it is in the Muller cell as compared to the normal available trend valid for physical optical fibres. We perceive the red light more efficiently as compared to the blue light. It has also been found that the intensity remains almost uniform in the visible range. After the visible range intensity has changed abruptly. As we know in the visible range Muller cells behave most efficiently for transmitting images, our simulated fibre also serves the purpose similar to that. Application/Improvements: This study of optical fiber can potentially be applied to improve the imaging quality of different biomedical and optical instruments, mainly operating within the visible optical frequency ranges.


Biological Cells, Image Processing, Intensity, Optical Fiber, Wavelength.

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  • Hammer M, Roggan A, Schweitzer D, Muller G. Optical Properties of Ocular Funds Tissues-an in Vitro Study using the Double-Integrating-Sphere Technique and Inverse Monte Carlo Simulation, Physics in Medicine and Biology.1995 Jun; 40(6):963–78.
  • Vos JJ, Bouman MA. Contribution of the Retina to Entopic Scatter, Journal of Opticle Society of America. 1964 Jan; 54(1):95–100.
  • Goldsmith TH. Optimization, Constraint, and History in the Evolution of Eyes, Journal of Quarterly Review of Biology. 1990 Sep; 65(3):281-322.
  • Franze K, Grosche J, Skatchkov SN, Schinkinger S, Foja C, Schild D. Muller Cells are Living Optical Fibers in the Vertebrate Retina. Journal of Biomedical. 2007 Mar; 104(20):8287-92.
  • Jacques SL. Optical Properties of Biological Tissues: A Review, Physics in Medicine and Biology. 2013 Jun; 58:1-28.
  • Yu K, Fan T, Lou S, Zhang D. Biomimetic Optical Materials: Integration of Nature’s Design for Manipulation of Light, Journal of Progress in Material Science. 2013 Jul; 58(6):825-73.
  • Bashkatov AN, Genina EA, Kochubey VI, Tuichin VV. Optical Properties of Human Skin, Subcutaneous and Mucous Tissues in the Wavelength Range from 400 to 2000nm, Journal of Physics D: Applied Physics. 2005 Aug; 38(15):2543–55.
  • Salomatina E, Jiang B, Novak J, Yaroslavsky AN. Optical Properties of Normal and Cancerous Human Skin in the Visible and Near Infrared Spectral Range, Journal of Biomedical Optics. 2006 Nov; 11(6):064-26.
  • Roggan A, Friebel M, Dorschel K, Hahn A, Muller G. Optical Properties of Circulating Human Blood in the Wavelength Range 400-2500 nm, Journal of Biomedical Optics. 1999; 4 (1):36-46.
  • Snyder AW. Photoreceptor Optics—Theoretical Principles. Springer Berlin Heidelberg, 1975, p.38-55.
  • OCLC World Cat Identities. Date Accessed: 23/07/2012. Available at: A
  • Reichenbach A, Bringmann A. New Functions of Muller Cells, Journal of Glia. 2013 May; 61(5):651-78.
  • Labin AM, Ribak EN. Retinal Glial Cells Enhance Human Vision Acuity, Physical Review Letter. 2010 Apr; 104(15):158-102.
  • Agte S, Junek S, Matthias S, Ulbricht E, Erdmann I, Wurm A. Mu¨ller Glial Cell-Provided Cellular Light Guidance through the Vital Guinea-Pig Retina, Journal of Biophysics. 2011 Dec; 101(11):2611-19.
  • Labin AM, Safuri SK, Ribak EN, Perlman I. Muller Cells Separate between Wavelengths to Improve Day Vision with Minimal Effect upon Night Vision, Nature Communication, 2014 Jul, p.1-9.
  • Labin AM, Ribak EN. Color Sorting by Retinal Waveguides, Journal of Optics Express. 2014 Dec; 22(26):32208-13.
  • Mata NL, Radu RA, Clemmons RS, Travis GH. Isomerization and Oxidation of Vitamin A in Cone-Dominant Retinas: A Novel Pathway for Visual Pigment Regeneration in Daylight, Journal of Neuron. 2002 Sep; 36(1):69-80.
  • Thyagarajan S, Wyk MV, Lehmann K, Lowel S, Feng G, Wassle H. Visual Function in Mice with Photoreceptor Degeneration and Transgenic Expression of Channelrhodopsin 2 in Ganglion Cells, The Journal of Neuroscience. 2010 Jun; 30(26):8745–58.
  • Chen E. Refractive Indices of the Rat Retinal Layers, Journal of Ophthalmic Research.1993; 25(1):65–68.


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