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Color calibration slide for digital microscopy systems
https://doi.org/10.32446/0368-1025it.2021-10-60-64
Abstract
The article is dedicated to the image standardization problem in digital microscopy. Color reproducibility in microscopic images is of great importance as this can lead to therapeutic errors in image interpretation. Color reproducibility in digital microscopy systems with various hardware can be ensured with color calibration using a special slide. The proposed requirements for color slide development are based on the analysis of the literature. A color measure prototype consisting of 97 fields of colored glass was developed and manufactured. Color chromaticity coordinates in CIE XYZ color space were calculated from experimentally determined spectral transmitted radiation distributions. A comparative study of the proposed color slide prototype and existing color slides gamuts according to the most frequently used histological dyes chromaticity coordinates have been carried out.
About the Authors
D. S. Makhov
Bauman Moscow State Technical University
Russian Federation
Russian Federation
Denis S. Makhov
Moscow
G. R. Sagatelyan
Bauman Moscow State Technical University
Russian Federation
Russian Federation
Gayk R. Sagatelyan
Moscow
A. V. Samorodov
Bauman Moscow State Technical University
Russian Federation
Russian Federation
Andrey V. Samorodov
Moscow
References
1. Rosai J., Laboratory investigation, 2007, vol. 87, no. 5, pp. 403–408. https://doi.org/10.1038/labinvest.3700551
2. Al-Janabi S., Huisman A., Van Diest P. J., Histopathology, 2012, vol. 61, no. 1, pp. 1–9. https://doi.org/10.1111/j.1365-2559.2011.03814.x
3. Evans A. J., Bauer T. W., Bui M. M. et al., Archives of pathology and laboratory medicine, 2018, vol. 142, no. 11, pp. 1383– 1387. https://doi.org/10.5858/arpa.2017-0496-CP
4. Clunie D. A., Toxicologic Pathology, 2020, vol. 49, iss. 4, pp. 738–749. https://doi.org/10.1177/0192623320965893
5. Makhov D., Samorodov A., Slavnova E., 26th Conference of Open Innovations Association (FRUCT), Yaroslavl, Russia, 20–24 April, 2020, IEEE, 2020, pp. 270–277. https://doi.org/10.23919/FRUCT48808.2020.9087455
6. Parpulov D., Samorodov A., Makhov D., Slavnova E., Volchenko N., Iglovikov V., 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), Yekaterinburg, Russia, 7–8 May, 2018, IEEE, 2018, pp. 87–90. https://doi.org/10.1109/USBEREIT.2018.8384557
7. Dobrolyubova D. A., Kravtsova T. A., Samorodova O. A., Samorodov A. V., Slavnova E. N., Volchenko N. N., Pattern Recognition and Image Analysis, 2016, vol. 26, no. 3, pp. 552–557. https://doi.org/10.1134/S1054661816030032
8. Tsykunov D. V., Kolokolnikov G. A., Samorodov A. V., 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), St. Petersburg and Moscow, Russia, 27–30 January, 2020, IEEE, 2020, pp. 2564–2567. https://doi.org/10.1109/EIConRus49466.2020.9039509
9. Samorodov A. V., Pattern recognition and image analysis, 2013, vol. 23, no. 4, pp. 508–511. https://doi.org/10.1134/S1054661813040159
10. Stokes M., Fairchild M. D., Berns R. S., ACM Transactions on Graphics (TOG), 1992, vol. 11, no. 4, pp. 406–422. https://doi.org/10.1145/146443.146482
11. Shrestha P., Hulsken B. Journal of Medical Imaging, 2014, vol. 1, no. 2, 027501. https://doi.org/10.1117/1.jmi.1.2.027501
12. Kravtsova T. A., Dobrolubova D. A., Samorodov A. V, Science and Education of the Bauman MSTU, 2016, no. 02, pp. 91–104, available at: http://engineering-science.ru/file/835206.html (accessed: 01.09.2021). (In Russ.)
13. Bautista P. A., Hashimoto N., Yagi Y., Journal of pathology informatics, 2014, vol. 5, 4. https://doi.org/10.4103/2153-3539.126153
14. Yagi Y., Diagnostic pathology, 2011, vol. 6, S15. https://doi.org/10.1186/1746-1596-6-S1-S15
15. Korzynska A., Zak J., Roszkowiak L., Pijanowska D., Markiewicz T., 2016 IEEE International Conference on Imaging Systems and Techniques (IST), Chania, Greece, 4–6 October, 2016, IEEE, 2016, pp. 48–53. https://doi.org/10.1109/IST.2016.7738196
16. Menesatti P., Angelini C., Pallottino F., Antonucci F., Aguzzi J., Costa C., Sensors, 2012, vol. 12, no. 6, pp. 7063–7079. https://doi.org/10.3390/s120607063
17. CIE, Fundamental chromaticity diagram with physiological axes, part 1, Commission Internationale de l’Eclairage, available at: http://cie.co.at/publications/fundamental-chromaticity-diagram-phy siological-axes-part-1 (accessed: 01.09.2021).
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For citations:
Makhov D.S., Sagatelyan G.R., Samorodov A.V. Color calibration slide for digital microscopy systems. Izmeritel`naya Tekhnika. 2021;(10):60-64. (In Russ.) https://doi.org/10.32446/0368-1025it.2021-10-60-64
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