International Journal of Biomedical Science and Engineering

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Erythrocyte Morphological Characteristics Based on Microscope Images System

Received: 19 September 2016    Accepted:     Published: 27 September 2016
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Abstract

Microscope images analysis of erythrocyte (red blood cells, RBCs) was a widely used method for medical purpose. Usually manual measuring and analysis of the images were subject to time-consuming, errors and unstability of results. The images analysis method had been combined with computer image processing techniques in this research. A measuring and analysis system for microscope images(MIAS) of RBCs was developed, which could recognize RBCs in images and measure cells mophometric parameters. Normal human RBCs were compared with ones under high glucose. The results indicated RBCs sizes parameters such as areas, perimeters, major axis lengths, minor axis lengths, elongations, roundnesses and Feret diameters have difference between normal and high glucose conditions. RBCs normal disk shapes changed into acanthocyte and stomatocyte under higher glucose conditions. This fast and precise method for measuring RBCs morphometric parameters contributed to pathogenesis of diabetic nephropathy(DN) research.

DOI 10.11648/j.ijbse.20160403.12
Published in International Journal of Biomedical Science and Engineering (Volume 4, Issue 3, June 2016)
Page(s) 22-27
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Diabetic Nephropathy, Microscope Image Analysis, Morphological Characteristics

References
[1] Stein P. D., Goldman J., Matta F. Yaekoub A. Y., Diabetes Mellitus and Risk of Venous Thromboembolism, American Journal of the Medical Sciences, 2009, 337 (4), 259-264
[2] Fan X., Zhang J., Theves M., Strauch C., Nemet I., Liu X., Qian J., Giblin F. J. Monnier V.M., Mechanism of lysine oxidation in human lens crystallins during aging and in diabetes, Journal of Biological Chemistry, 2009, 284 (50), 34618-34627
[3] Trachtman H., Futterweit S., Pine E., Mann J., Valderrama E., Chronic diabetic nephropathy: role of inducible nitric oxide synthase, Pediatric Nephrology, 2002, 17 (17), 20-29
[4] Thuraisingham R. C., Nott C. A., Dodd S.M., Yaqoob M. M., Increased nitrotyrosine staining in kidneys from patients with diabetic nephropathy, Kidney international, 2000, 57 (5), 1968-1972
[5] Yong J. G., Ruan P., Feng B. H., Shi M. L. Peng L. F., Study on the relevance of changes in red blood cell morphology and function of patients with diabetic nephropathy to the development of diabetes, Journal of Jinan University (Natural Science & Medicine Edition), 2013, 34 (6), 610-614
[6] Jiang J., Fan D. N., Chen W., Xiong Z. H., Erythrocyte counting system based on blood micrograph, Medical Information, 2009, 22 (1), 8-10
[7] Yao C. C., Huang Y. X., LI X. K., Ruan P., Effects of pH on structure and function of single living erythrocyte, Chinese Science Bulletin, 2003, 48 (13), 1342-1346
[8] Gabir M. M., Hanson R. L., Dabelea D., Imperatore G., Roumain J., Bennett P. H., Knowler W. C., The 1997 American Diabetes Association and 1999 World Health Organization criteria for hyperglycemia in the diagnosis and prediction of diabetes, Diabetes Care, 2000, 23 (8), 1108-1112
[9] Foundation N. K., K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification, Annals of Internal Medicine, 2003, 139 (2), 137-147
[10] Wang J. C., Shi Z. W., The significance of urine red blood cell morphology analysis in the differential diagnosis on diabetic nephropathy and non diabetic nephropathy, Journal of Practical Medicine, 2015, 31 (1), 95-97
[11] Li H., Edge detection technology of image processing, Agriculture & Technology, 2010, 30 (2), 163-165
Author Information
  • College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, P. R. China

  • College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, P. R. China

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  • APA Style

    Bohua Feng, Liufen Peng. (2016). Erythrocyte Morphological Characteristics Based on Microscope Images System. International Journal of Biomedical Science and Engineering, 4(3), 22-27. https://doi.org/10.11648/j.ijbse.20160403.12

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    ACS Style

    Bohua Feng; Liufen Peng. Erythrocyte Morphological Characteristics Based on Microscope Images System. Int. J. Biomed. Sci. Eng. 2016, 4(3), 22-27. doi: 10.11648/j.ijbse.20160403.12

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    AMA Style

    Bohua Feng, Liufen Peng. Erythrocyte Morphological Characteristics Based on Microscope Images System. Int J Biomed Sci Eng. 2016;4(3):22-27. doi: 10.11648/j.ijbse.20160403.12

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  • @article{10.11648/j.ijbse.20160403.12,
      author = {Bohua Feng and Liufen Peng},
      title = {Erythrocyte Morphological Characteristics Based on Microscope Images System},
      journal = {International Journal of Biomedical Science and Engineering},
      volume = {4},
      number = {3},
      pages = {22-27},
      doi = {10.11648/j.ijbse.20160403.12},
      url = {https://doi.org/10.11648/j.ijbse.20160403.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijbse.20160403.12},
      abstract = {Microscope images analysis of erythrocyte (red blood cells, RBCs) was a widely used method for medical purpose. Usually manual measuring and analysis of the images were subject to time-consuming, errors and unstability of results. The images analysis method had been combined with computer image processing techniques in this research. A measuring and analysis system for microscope images(MIAS) of RBCs was developed, which could recognize RBCs in images and measure cells mophometric parameters. Normal human RBCs were compared with ones under high glucose. The results indicated RBCs sizes parameters such as areas, perimeters, major axis lengths, minor axis lengths, elongations, roundnesses and Feret diameters have difference between normal and high glucose conditions. RBCs normal disk shapes changed into acanthocyte and stomatocyte under higher glucose conditions. This fast and precise method for measuring RBCs morphometric parameters contributed to pathogenesis of diabetic nephropathy(DN) research.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Erythrocyte Morphological Characteristics Based on Microscope Images System
    AU  - Bohua Feng
    AU  - Liufen Peng
    Y1  - 2016/09/27
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijbse.20160403.12
    DO  - 10.11648/j.ijbse.20160403.12
    T2  - International Journal of Biomedical Science and Engineering
    JF  - International Journal of Biomedical Science and Engineering
    JO  - International Journal of Biomedical Science and Engineering
    SP  - 22
    EP  - 27
    PB  - Science Publishing Group
    SN  - 2376-7235
    UR  - https://doi.org/10.11648/j.ijbse.20160403.12
    AB  - Microscope images analysis of erythrocyte (red blood cells, RBCs) was a widely used method for medical purpose. Usually manual measuring and analysis of the images were subject to time-consuming, errors and unstability of results. The images analysis method had been combined with computer image processing techniques in this research. A measuring and analysis system for microscope images(MIAS) of RBCs was developed, which could recognize RBCs in images and measure cells mophometric parameters. Normal human RBCs were compared with ones under high glucose. The results indicated RBCs sizes parameters such as areas, perimeters, major axis lengths, minor axis lengths, elongations, roundnesses and Feret diameters have difference between normal and high glucose conditions. RBCs normal disk shapes changed into acanthocyte and stomatocyte under higher glucose conditions. This fast and precise method for measuring RBCs morphometric parameters contributed to pathogenesis of diabetic nephropathy(DN) research.
    VL  - 4
    IS  - 3
    ER  - 

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