Title a Novel Approach to Cell Viability Measurement in Paclitaxel Cytotoxicity Experiments

Authors

  • Dinesh P Mital Editor in Chief Author

Keywords:

Cytotoxicity, Cell viability, Chemotherapy, MATLAB, Hemocytometer, Biochemicals

Abstract

Cell viability and drug cytotoxicity measurements conducted for triple-negative breast cancer cells are the core measurements in chemotherapy treatment protocols. Spectrophotometric methods that depend on the use of harmful biochemicals are used to measure cell viability. This study proposes the use of digital image analysis techniques to measure cell viability. The digital image analysis results were compared to the results of conventional biochemical assays. MATLAB’s Image Analysis Toolbox was used to perform the viable cell count. The results of the cell count were compared to the trypan blue assay using hemocytometer slides and MTT assays using microtiter plates. There was strong to moderate statistical significance seen between trypan blue assay, MTT assay, and digital image analysis assay. The study confirmed that traditional biochemical methods contribute to cell death and incorrect viable cell count. Image analysis assays were less laborious and took minimal time to complete the analysis once the image was obtained. The research results recommend the use of digital image analysis techniques to perform more precise and accurate drug kinetic studies in the popular field of personalized therapy.

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References

1. Denizot F, Lang R. Rapid colorimetric assay for cell growth and survival: modifications to the tetrazolium dye procedure giving improved sensitivity and reliability. J Immunol Methods. 1986;89:271-277.

2. Fjällskog ML, Frii L, Bergh J. Paclitaxel-induced cytotoxicity: the effects of Cremophor EL (castor oil) on two human breast cancer cell lines with acquired multidrug resistant phenotype and induced expression of the permeability glycoprotein. Eur J Cancer. 1994;30A:687-690.

3. Gonzalez RC, Woods RE. Digital image processing. Upper Saddle River (NJ): Prentice Hall; 2002.

4. Gonzalez RC, Woods RE. Digital image processing. New York (NY): Pearson; 2018.

5. Gonzalez RC, Woods RE, Eddins SL. Digital image processing using MATLAB. Upper Saddle River (NJ): Pearson/Prentice Hall; 2004.

6. Hansen MB, Nielsen SE, Berg K. Re-examination and further development of a precise and rapid dye method for measuring cell growth/cell kill. J Immunol Methods. 1989;119:203-210.

7. Koprowski R, Wróbel Z. Image processing in optical coherence tomography: using MATLAB. Katowice (Poland); 2011.

8. Lu L, Zhang L, Wai MS, Yew DT, Xu J. Exocytosis of MTT formazan could exacerbate cell injury. Toxicol In Vitro. 2012;26:636-644.

9. Mosmann T. Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays. J Immunol Methods. 1983;65:55-63.

10. Plumb JA, Milroy R, Kaye SB. Effects of the pH dependence of 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium bromide-formazan absorption on chemosensitivity determined by a novel tetrazolium-based assay. Cancer Res. 1989;49:4435-4440.

11. Pratt WK. Introduction to digital image processing. Boca Raton (FL): CRC Press, Taylor & Francis Group; 2014.

12. Tada H, Shiho O, Kuroshima K, Koyama M, Tsukamoto K. An improved colorimetric assay for interleukin 2. J Immunol Methods. 1986;93:157-165.

13. Weaver BA. How Taxol/paclitaxel kills cancer cells. Mol Biol Cell. 2014;25:2677-2681.

14. Wells WM 3rd. Medical image analysis-past, present, and future. Med Image Anal. 2016;33:4-6.

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Published

15-04-2026

Issue

Vol. 1 No. 1 (2026)

Section

Articles

License

Copyright (c) 2026 Dinesh P Mital (Author)

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How to Cite

Title a Novel Approach to Cell Viability Measurement in Paclitaxel Cytotoxicity Experiments. (2026). Virosa Journal of AI in Science and Healthcare, 1(1), 1-6. https://virosapub.com/index.php/vjash/article/view/20