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Automated image analysis system for renal filtration barrier integrity of potassium bromate treated adult male albino rat

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Abstract

Potassium bromate (KBrO3) is a potent nephrotoxic agent that leads to a significant decrease in the activities of renal antioxidant capacity, antioxidant loss and restoration of the renal dysfunction. Several measurements are used to examine the kidney status, including the base width of the foot, the slit pore diameter, and the glomerular basement membrane thickness of the kidney. In this work, morphometric analysis based on image processing is carried out to assess the filtration barrier integrity parameters, which indicates the degree of recovery against the nephrotoxic effect of the KBrO3 on the renal cortex of adult male albino rat and assesses the capability of the renal cortex to recover after its cessation. The morphometric methods based proposed image analysis system enabled the identification of the renal status of different groups, namely the control, potassium bromate affected, and the recovered groups, according to the variation of the measured parameters is a powerful tool. The proposed image analysis system provided a radical geometric morphometrics, which includes morphological operations and structuring element processes in order to identify the glomerular filtration barrier and the feet for further measurements in each case study. The results established that the average lengths of the feet in the histological microscopic images are 465.2397 nm, 278.189 nm, and 393.2347 nm for the control, KBrO3 affected rats and the recovered rats; respectively.

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Authors and Affiliations

  1. Department of Histology Department, Faculty of Medicine, Tanta University, Tanta, Egypt

    Shaima Mostafa Ibrahim Kashef, Amal Ali Ahmed Abd El Hafez, Naglaa Ibrahim Sarhan & AWatif Omar El-Shal

  2. MISR Higher Institute for Engineering & Technology, Mansoura, Egypt

    Mohamed Maher Ata

  3. Department of Electronics and Electrical Communication Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

    Amira S. Ashour & Mustafa M. Abd Elnaby

  4. Department of Information Technology, Techno India College of Technology, Rajarhat, India

    Nilanjan Dey

  5. Department of Biomedical Engineering, University of Reading, Reading, RG6 6AY, UK

    R. Simon Sherratt

Authors
  1. Shaima Mostafa Ibrahim Kashef
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  2. Amal Ali Ahmed Abd El Hafez
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  3. Naglaa Ibrahim Sarhan
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  4. AWatif Omar El-Shal
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  5. Mohamed Maher Ata
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  6. Amira S. Ashour
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  7. Nilanjan Dey
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  8. Mustafa M. Abd Elnaby
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  9. R. Simon Sherratt
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Correspondence to Amira S. Ashour.

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Kashef, S.M.I., El Hafez, A.A.A.A., Sarhan, N.I. et al. Automated image analysis system for renal filtration barrier integrity of potassium bromate treated adult male albino rat. Multimed Tools Appl 79, 7559–7575 (2020). https://doi.org/10.1007/s11042-019-08589-8

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  • DOI: https://doi.org/10.1007/s11042-019-08589-8

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