Assessment of Morphological Changes in Breast Cancer Cells Following X-ray Radiation Utilizing Digital Holographic Microscopy
Abstract
Purpose: Digital holographic microscopy, being a label-free and entirely non-invasive technique, proficiently facilitates the quantitative assessment of morphological alterations in living cells. The primary objective of this investigation is to scrutinize the capability of a digital holographic microscope in assessing the morphological transformations of cancer cells exposed to X-ray radiation.
Material and methods: The MCF7 cell line underwent exposure to X-ray radiation, administered in a singular fraction at a dose of 2 Gy. Subsequently, the MCF7 cell group was subjected to imaging through a digital holographic microscope. In order to scrutinize the morphological alterations between the radiation-exposed and control groups, the pertinent image parameters were extracted through the three-dimensional reconstruction of the microscopic images.
Results: The results indicate a significant increase in the morphological parameters of cells, encompassing volume and roughness, subsequent to radiation exposure when contrasted with the control group. This observation signifies discernible alterations in the shape and roughness characteristics of MCF7 cells.
Conclusion: By extracting various parameters and broadening the spectrum of morphological and physical attributes, it becomes feasible to establish a more precise correlation between cellular conditions and the response to treatment. Such investigations pave the way for a more intricate exploration of cell morphology, enabling the identification of more specific parameters and distinctions in cellular response.
1. Mohan G, TP AH, AJ J, KM SD, Narayanasamy A, Vellingiri B. Recent advances in radiotherapy and its associated side effects in cancer—a review. The Journal of Basic and Applied Zoology. 2019;80(1):1-10.
2. Chandra RA, Keane FK, Voncken FE, Thomas CR. Contemporary radiotherapy: Present and future. The Lancet. 2021;398(10295):171-84.
3. Vinod SK, Hau E. Radiotherapy treatment for lung cancer: Current status and future directions. Respirology. 2020;25:61-71.
4. Baumann M, Krause M, Overgaard J, Debus J, Bentzen SM, Daartz J, et al. Radiation oncology in the era of precision medicine. Nature Reviews Cancer. 2016;16(4):234-49.
5. Goranov AI, Gulati A, Dephoure N, Takahara T, Maeda T, Gygi SP, et al. Changes in cell morphology are coordinated with cell growth through the TORC1 pathway. Current Biology. 2013;23(14):1269-79.
6. Hughes BR, Mirbagheri M, Waldman SD, Hwang DK. Direct cell-cell communication with three-dimensional cell morphology on wrinkled microposts. Acta biomaterialia. 2018;78:89-97.
7. Nassiri I, McCall MN. Systematic exploration of cell morphological phenotypes associated with a transcriptomic query. Nucleic acids research. 2018;46(19):e116-e.
8. Tatapudy S, Aloisio F, Barber D, Nystul T. Cell fate decisions: emerging roles for metabolic signals and cell morphology. EMBO reports. 2017;18(12):2105-18.
9. Xiao X, Che L, Li Y, Peng R, Wang M, Xiao W, et al. Label-free observation of morphological alteration of irradiated-urothelial bladder carcinoma cells through digital holographic microscopy. Frontiers in Physics. 2022:754.
10. Narayanan SA, Ford J, Zawieja DC. Impairment of lymphatic endothelial barrier function by X-ray irradiation. International journal of radiation biology. 2019;95(5):562-70.
11. Rubin M, Stein O, Turko NA, Nygate Y, Roitshtain D, Karako L, et al. TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set. Medical image analysis. 2019;57:176-85.
12. Javidi B, Carnicer A, Anand A, Barbastathis G, Chen W, Ferraro P, et al. Roadmap on digital holography. Optics express. 2021;29(22):35078-118.
13. Carl D, Kemper B, Wernicke G, von Bally G. Parameter-optimized digital holographic microscope for high-resolution living-cell analysis. Applied optics. 2004;43(36):6536-44.
14. Charrière F, Pavillon N, Colomb T, Depeursinge C, Heger TJ, Mitchell EA, et al. Living specimen tomography by digital holographic microscopy: morphometry of testate amoeba. Optics Express. 2006;14(16):7005-13.
15. Chalut KJ, Ekpenyong AE, Clegg WL, Melhuish IC, Guck J. Quantifying cellular differentiation by physical phenotype using digital holographic microscopy. Integrative biology. 2012;4(3):280-4.
16. Kemper B, Carl D, Schnekenburger J, Bredebusch I, Schäfer M, Domschke W, et al. Investigation of living pancreas tumor cells by digital holographic microscopy. Journal of biomedical optics. 2006;11(3):034005--8.
17. Rappaz B, Marquet P, Cuche E, Emery Y, Depeursinge C, Magistretti PJ. Measurement of the integral refractive index and dynamic cell morphometry of living cells with digital holographic microscopy. Optics express. 2005;13(23):9361-73.
18. Mann CJ, Yu L, Lo C-M, Kim MK. High-resolution quantitative phase-contrast microscopy by digital holography. Optics Express. 2005;13(22):8693-8.
19. Ferraro P, Grilli S, Alfieri D, De Nicola S, Finizio A, Pierattini G, et al. Extended focused image in microscopy by digital holography. Optics Express. 2005;13(18):6738-49.
20. Myung-K. Kim, "Applications of Digital Holography in Biomedical Microscopy," J. Opt. Soc. Korea. 2010; 14, 77-89.
21. Georges Nehmetallah and Partha P. Banerjee, "Applications of digital and analog holography in three- dimensional imaging," Adv. Opt. Photon. 2012; 4: 472-553 (2012)
22. Pan F, Liu S, Wang Z, Shang P, Xiao W. Digital holographic microscopy long-term and real-time monitoring of cell division and changes under simulated zero gravity. Optics Express. 2012;20(10):11496-505.
23. Lam VK, Nguyen TC, Chung BM, Nehmetallah G, Raub CB. Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning. Cytometry Part A. 2018;93(3):334-45.
24. Yao T, Cao R, Xiao W, Pan F, Li X. An optical study of drug resistance detection in endometrial cancer cells by dynamic and quantitative phase imaging. Journal of biophotonics. 2019;12(7):e201800443.
25. Wang Y, Yang Y, Wang D, Ouyang L, Zhang Y, Zhao J, et al. Morphological measurement of living cells in methanol with digital holographic microscopy. Computational and mathematical methods in medicine. 2013;2013.
26. Rappaz B, Breton B, Shaffer E, Turcatti G. Digital holographic microscopy: a quantitative label-free microscopy technique for phenotypic screening. Combinatorial chemistry & high throughput screening. 2014;17(1):80-8.
27. Dubey, V., Popova, D., Ahmad, A. et al. Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition. Scientific Reports.2019; 9:3564.
28. Vicar T, Raudenska M, Gumulec J, Balvan J. The quantitative-phase dynamics of apoptosis and lytic cell death. Scientific reports. 2020;10(1):1566.
29. Barker KL, Boucher KM, Judson-Torres RL. Label-free classification of apoptosis, ferroptosis and necroptosis using digital holographic cytometry. Applied Sciences. 2020;10(13):4439.
30. Verduijn J, Van der Meeren L, Krysko DV, Skirtach AG. Deep learning with digital holographic microscopy discriminates apoptosis and necroptosis. Cell death discovery. 2021;7(1):229
31. J. W. Goodman, Introduction to Fourier Optics (Roberts and Company, 2005).
32. El-Schich Z, Mölder A, Tassidis H, Härkönen P, Miniotis MF, Wingren AG. Induction of morphological changes in death-induced cancer cells monitored by holographic microscopy. Journal of structural biology. 2015;189(3):207-12.
33. Kawase T, Okuda K, Nagata M, Tsuchimochi M, Yoshie H, Nakata K. Non-invasive, quantitative assessment of the morphology of γ-irradiated human mesenchymal stem cells and periosteal cells using digital holographic microscopy. International Journal of Radiation Biology. 2016;92(12):796-805.
34. Kawase T, Hayama K, Tsuchimochi M, Nagata M, Okuda K, Yoshie H, et al. Evaluating the safety of somatic periosteal cells by flow-cytometric analysis monitoring the history of DNA damage. Biopreservation and Biobanking. 2016;14(2):129-37
2. Chandra RA, Keane FK, Voncken FE, Thomas CR. Contemporary radiotherapy: Present and future. The Lancet. 2021;398(10295):171-84.
3. Vinod SK, Hau E. Radiotherapy treatment for lung cancer: Current status and future directions. Respirology. 2020;25:61-71.
4. Baumann M, Krause M, Overgaard J, Debus J, Bentzen SM, Daartz J, et al. Radiation oncology in the era of precision medicine. Nature Reviews Cancer. 2016;16(4):234-49.
5. Goranov AI, Gulati A, Dephoure N, Takahara T, Maeda T, Gygi SP, et al. Changes in cell morphology are coordinated with cell growth through the TORC1 pathway. Current Biology. 2013;23(14):1269-79.
6. Hughes BR, Mirbagheri M, Waldman SD, Hwang DK. Direct cell-cell communication with three-dimensional cell morphology on wrinkled microposts. Acta biomaterialia. 2018;78:89-97.
7. Nassiri I, McCall MN. Systematic exploration of cell morphological phenotypes associated with a transcriptomic query. Nucleic acids research. 2018;46(19):e116-e.
8. Tatapudy S, Aloisio F, Barber D, Nystul T. Cell fate decisions: emerging roles for metabolic signals and cell morphology. EMBO reports. 2017;18(12):2105-18.
9. Xiao X, Che L, Li Y, Peng R, Wang M, Xiao W, et al. Label-free observation of morphological alteration of irradiated-urothelial bladder carcinoma cells through digital holographic microscopy. Frontiers in Physics. 2022:754.
10. Narayanan SA, Ford J, Zawieja DC. Impairment of lymphatic endothelial barrier function by X-ray irradiation. International journal of radiation biology. 2019;95(5):562-70.
11. Rubin M, Stein O, Turko NA, Nygate Y, Roitshtain D, Karako L, et al. TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set. Medical image analysis. 2019;57:176-85.
12. Javidi B, Carnicer A, Anand A, Barbastathis G, Chen W, Ferraro P, et al. Roadmap on digital holography. Optics express. 2021;29(22):35078-118.
13. Carl D, Kemper B, Wernicke G, von Bally G. Parameter-optimized digital holographic microscope for high-resolution living-cell analysis. Applied optics. 2004;43(36):6536-44.
14. Charrière F, Pavillon N, Colomb T, Depeursinge C, Heger TJ, Mitchell EA, et al. Living specimen tomography by digital holographic microscopy: morphometry of testate amoeba. Optics Express. 2006;14(16):7005-13.
15. Chalut KJ, Ekpenyong AE, Clegg WL, Melhuish IC, Guck J. Quantifying cellular differentiation by physical phenotype using digital holographic microscopy. Integrative biology. 2012;4(3):280-4.
16. Kemper B, Carl D, Schnekenburger J, Bredebusch I, Schäfer M, Domschke W, et al. Investigation of living pancreas tumor cells by digital holographic microscopy. Journal of biomedical optics. 2006;11(3):034005--8.
17. Rappaz B, Marquet P, Cuche E, Emery Y, Depeursinge C, Magistretti PJ. Measurement of the integral refractive index and dynamic cell morphometry of living cells with digital holographic microscopy. Optics express. 2005;13(23):9361-73.
18. Mann CJ, Yu L, Lo C-M, Kim MK. High-resolution quantitative phase-contrast microscopy by digital holography. Optics Express. 2005;13(22):8693-8.
19. Ferraro P, Grilli S, Alfieri D, De Nicola S, Finizio A, Pierattini G, et al. Extended focused image in microscopy by digital holography. Optics Express. 2005;13(18):6738-49.
20. Myung-K. Kim, "Applications of Digital Holography in Biomedical Microscopy," J. Opt. Soc. Korea. 2010; 14, 77-89.
21. Georges Nehmetallah and Partha P. Banerjee, "Applications of digital and analog holography in three- dimensional imaging," Adv. Opt. Photon. 2012; 4: 472-553 (2012)
22. Pan F, Liu S, Wang Z, Shang P, Xiao W. Digital holographic microscopy long-term and real-time monitoring of cell division and changes under simulated zero gravity. Optics Express. 2012;20(10):11496-505.
23. Lam VK, Nguyen TC, Chung BM, Nehmetallah G, Raub CB. Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning. Cytometry Part A. 2018;93(3):334-45.
24. Yao T, Cao R, Xiao W, Pan F, Li X. An optical study of drug resistance detection in endometrial cancer cells by dynamic and quantitative phase imaging. Journal of biophotonics. 2019;12(7):e201800443.
25. Wang Y, Yang Y, Wang D, Ouyang L, Zhang Y, Zhao J, et al. Morphological measurement of living cells in methanol with digital holographic microscopy. Computational and mathematical methods in medicine. 2013;2013.
26. Rappaz B, Breton B, Shaffer E, Turcatti G. Digital holographic microscopy: a quantitative label-free microscopy technique for phenotypic screening. Combinatorial chemistry & high throughput screening. 2014;17(1):80-8.
27. Dubey, V., Popova, D., Ahmad, A. et al. Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition. Scientific Reports.2019; 9:3564.
28. Vicar T, Raudenska M, Gumulec J, Balvan J. The quantitative-phase dynamics of apoptosis and lytic cell death. Scientific reports. 2020;10(1):1566.
29. Barker KL, Boucher KM, Judson-Torres RL. Label-free classification of apoptosis, ferroptosis and necroptosis using digital holographic cytometry. Applied Sciences. 2020;10(13):4439.
30. Verduijn J, Van der Meeren L, Krysko DV, Skirtach AG. Deep learning with digital holographic microscopy discriminates apoptosis and necroptosis. Cell death discovery. 2021;7(1):229
31. J. W. Goodman, Introduction to Fourier Optics (Roberts and Company, 2005).
32. El-Schich Z, Mölder A, Tassidis H, Härkönen P, Miniotis MF, Wingren AG. Induction of morphological changes in death-induced cancer cells monitored by holographic microscopy. Journal of structural biology. 2015;189(3):207-12.
33. Kawase T, Okuda K, Nagata M, Tsuchimochi M, Yoshie H, Nakata K. Non-invasive, quantitative assessment of the morphology of γ-irradiated human mesenchymal stem cells and periosteal cells using digital holographic microscopy. International Journal of Radiation Biology. 2016;92(12):796-805.
34. Kawase T, Hayama K, Tsuchimochi M, Nagata M, Okuda K, Yoshie H, et al. Evaluating the safety of somatic periosteal cells by flow-cytometric analysis monitoring the history of DNA damage. Biopreservation and Biobanking. 2016;14(2):129-37
| Files | ||
| Issue | Articles in Press | |
| Section | Articles | |
| Keywords | ||
| Digital Holographic Microscopy Morphological Parameters Radiation MCF7 Cells | ||
| Rights and permissions | |
|
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Hormozi-Moghaddam Z. Assessment of Morphological Changes in Breast Cancer Cells Following X-ray Radiation Utilizing Digital Holographic Microscopy. Frontiers Biomed Technol. 2024;.
