Araştırma Makalesi
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Quantitative Determination of Surface Morphology of Red Blood Cell

Yıl 2023, , 385 - 395, 30.06.2023
https://doi.org/10.28979/jarnas.1206923

Öz

In this study, the determination of the surface morphology of red blood cell (RBC) from interferogram image obtained by quantitative phase imaging (QPI) method is presented. QPI, is an optical measurement method frequently used in recent years, allows to obtain quantitative data for different samples (cell, thin film surface, etc.). Many measurement setups at the micrometer level and with nanometer precision have been designed for quantitative surface determination. Among these, white light diffraction phase microscopy (WDPM) is a design that combines the advantages of off-axis holography-specific speed and phase sensitivity associated with common path interferometry. Interferogram image of RBCs have been formed by the WDPM setup. Analysis of this image has been carried out by Fourier transform. As a result of this analysis, three-dimensional (3D), dynamic (observable from all angles) and height-known profiles of RBCs have been created. From the height profiles, the parameters related to the morphology of RBCs as the projected surface area (PSA), diameter (D), mean corpuscular volume (MCV) and total surface area occupied by the cell (SA), have been determined quantitatively. In addition, two-dimensional images,
obtained by examining blood samples with light microscopy and scanning electron microscopy (SEM), have been compared with the data achieved by WDPM. The advantages and disadvantages of WDPM and light microscopy and SEM, which are commonly used in biomedical measurements, are discussed through the results. In this way, it was possible to see the difference between QPI and traditional methods used to imaging the cell surface.

Destekleyen Kurum

Turkish Scientific and Technical Research Council (TÜBİTAK)

Proje Numarası

122E201

Kaynakça

  • Ahmadzadeh, E., Jaferzadeh, K., Lee, J., & Moon, I. (2017). Automated three-dimensional morphology-based clustering of human erythrocytes with regular shapes: stomatocytes, discocytes, and echinocytes. Journal of Biomedical Optics, 22(7), 076015. https://doi.org/10.1117/1.jbo.22.7.076015
  • Bhaduri, B., Pham, H., Mir, M., & Popescu, G. (2012). Diffraction phase microscopy with white light. Optics Letters, 37(6), 1094–1096. http://www.ncbi.nlm.nih.gov/pubmed/23292428
  • Buys, A. V, Van Rooy, M.-J., Soma, P., Van Papendorp, D., Lipinski, B., & Pretorius, E. (2013). Changes in red blood cell membrane structure in type 2 diabetes: a scanning electron and atomic force microscopy study. Cardiovascular Diabetology, 12(1), 25. https://doi.org/10.1186/1475-2840-12-25
  • Cacace, T., Bianco, V., & Ferraro, P. (2020). Quantitative phase imaging trends in biomedical applications. Optics and Lasers in Engineering, 135(February), 106188. https://doi.org/10.1016/j.optlaseng.2020.106188
  • Curl, C. L., Bellair, C. J., Harris, T., Allman, B. E., Harris, P. J., Stewart, A. G., Roberts, A., Nugent, K. a., & Delbridge, L. M. D. (2005). Refractive index measurement in viable cells using quantitative phase-amplitude microscopy and confocal microscopy. Cytometry Part A, 65(1), 88–92. https://doi.org/10.1002/cyto.a.20I34
  • Dursun, A., Özder, S., & Ecevit, F. N. (2004). Continuous wavelet transform analysis of projected fringe patterns. Measurement Science and Technology, 15(9), 1768–1772. https://doi.org/10.1088/0957-0233/15/9/013
  • Edwards, C., Zhou, R., Hwang, S., McKeown, S. J., Wang, K., Bhaduri, B., Ganti, R., Yunker, P. J., Yodh, A. G., Rogers, J. A., Goddard, L. L., & Popescu, G. (2014). Diffraction phase microscopy: monitoring nanoscale dynamics in materials science [Invited]. Applied Optics, 53(27), G33. https://doi.org/10.1364/AO.53.000G33
  • Endo, T., Yasuno, Y., Makita, S., Itoh, M., & Yatagai, T. (2005). Profilometry with line-field Fourier-domain interferometry. Optics Express, 13(3), 695–701. https://doi.org/org/10.1364/OPEX.13.000695
  • Goldstein, J. I., Newbury, D. E., Michael, J. R., Ritchie, N. W. M., Scott, J. H. J., & Joy, D. C. (2018). Scanning Electron Microscopy and X-Ray Microanalysis. In Physicochemical Methods of Mineral Analysis. Springer New York. https://doi.org/10.1007/978-1-4939-6676-9
  • Jaferzadeh, K., & Moon, I. (2016). Human red blood cell recognition enhancement with three-dimensional morphological features obtained by digital holographic imaging. Journal of Biomedical Optics, 21(12), 126015. https://doi.org/10.1117/1.jbo.21.12.126015
  • Jaferzadeh, K., Sim, M. W., Kim, N. G., & Moon, I. K. (2019). Quantitative analysis of three-dimensional morphology and membrane dynamics of red blood cells during temperature elevation. Scientific Reports, 9(1), 1–9. https://doi.org/10.1038/s41598-019-50640-z
  • Lee, K., Kim, K., Jung, J., Heo, J., Cho, S., Lee, S., Chang, G., Jo, Y., Park, H., & Park, Y. (2013). Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications. Sensors, 13(4), 4170–4191. https://doi.org/10.3390/s130404170
  • Leonhardt, K. (2005). Optical topometry of surfaces with locally changing materials, layers and contaminations Part 2: Fringe projection topometry. Journal of Modern Optics, 52(10), 1367–1384. https://doi.org/10.1080/09500340512331309057
  • Majeed, H., Ma, L., Lee, Y. J., Kandel, M., Min, E., Jung, W., Best-Popescu, C., & Popescu, G. (2018). Magnified Image Spatial Spectrum (MISS) microscopy for nanometer and millisecond scale label-free imaging. Optics Express, 26(5), 5423. https://doi.org/10.1364/OE.26.005423
  • Majeed, H., Sridharan, S., Mir, M., Ma, L., Min, E., Jung, W., & Popescu, G. (2017). Quantitative phase imaging for medical diagnosis. Journal of Biophotonics, 10(2), 177–205. https://doi.org/10.1002/jbio.201600113
  • Mir, M., Ding, H., Wang, Z., Reedy, J., Tangella, K., & Popescu, G. (2010). Blood screening using diffraction phase cytometry. Journal of Biomedical Optics, 15(2), 027016. https://doi.org/10.1117/1.3369965
  • Moon, I., Yi, F., Lee, Y. H., Javidi, B., Boss, D., & Marquet, P. (2013). Automated quantitative analysis of 3D morphology and mean corpuscular hemoglobin in human red blood cells stored in different periods. Optics Express, 21(25), 30947. https://doi.org/10.1364/oe.21.030947
  • Mukherjee, R., Saha, M., Routray, A., & Chakraborty, C. (2015). Nanoscale Surface Characterization of Human Erythrocytes by Atomic Force Microscopy: A Critical Review. IEEE Transactions on Nanobioscience, 14(6), 625–633. https://doi.org/10.1109/TNB.2015.2424674
  • Oprisan, B., Stoica, I., & Avadanei, M. I. (2017). Morphological changes induced in erythrocyte membrane by the antiepileptic treatment: An atomic force microscopy study. Microscopy Research and Technique, 80(4), 364–373. https://doi.org/10.1002/jemt.22804 Park, H., Lee, S., Ji, M., Kim, K., Son, Y., Jang, S., & Park, Y. (2016). Measuring cell surface area and deformability of individual human red blood cells over blood storage using quantitative phase imaging. Scientific Reports, 6(June), 1–10. https://doi.org/10.1038/srep34257
  • Pham, H. V, Edwards, C., Goddard, L. L., & Popescu, G. (2013). Fast phase reconstruction in white light diffraction phase microscopy. Applied Optics, 52(1), A97. https://doi.org/10.1364/AO.52.000A97
  • Popescu, G. (2011). Quantitative Phase Imaging of Cells and Tissues. The McGraw-Hill Companies, Inc. https://www.accessengineeringlibrary.com/browse/quantitative-phase-imaging-of-cells-and-tissues Popescu, G., Ikeda, T., Dasari, R. R., & Feld, M. S. (2006). Diffraction phase microscopy for quantifying cell structure and dynamics. Optics Letters, 31(6), 775. https://doi.org/10.1364/OL.31.000775
  • Popescu, G., Park, Y. K., Choi, W., Dasari, R. R., Feld, M. S., & Badizadegan, K. (2008). Imaging red blood cell dynamics by quantitative phase microscopy. Blood Cells, Molecules, and Diseases, 41(1), 10–16. https://doi.org/10.1016/j.bcmd.2008.01.010
  • Quan, C., He, X. Y., Wang, C. F., Tay, C. J., & Shang, H. M. (2001). Shape measurement of small objects using LCD fringe projection with phase shifting. Optics Communications, 189(1–3), 21–29. https://doi.org/10.1016/S0030-4018(01)01038-0 Reolon, D., Jacquot, M., Verrier, I., Brun, G., & Veillas, C. (2006). Broadband supercontinuum interferometer for high-resolution profilometry. Optics Express, 14(1), 128–137. https://doi.org/org/10.1364/OPEX.14.000128
  • Singh, V., Srivastava, V., & Mehta, D. S. (2020). Machine learning-based screening of red blood cells using quantitative phase imaging with micro-spectrocolorimetry. Optics and Laser Technology, 124(December 2019). https://doi.org/10.1016/j.optlastec.2019.105980
  • Takeda, M., & Mutoh, K. (1983). Fourier transform profilometry for the automatic measurement of 3-D object shapes. Applied Optics, 22(24), 3977. https://doi.org/10.1364/ao.22.003977
  • Ünal, A., Kocahan, Ö., Altunan, B., Aksoy Gündoğdu, A., Uyanık, M., & Özder, S. (2020). Quantitative phase imaging of erythrocyte in epilepsy patients. Microscopy Research and Technique, December, 1–9. https://doi.org/10.1002/jemt.23676
  • Zhou, W., & Wang, Z. L. (2007). Scanning Microscopy for Nanotechnology. In W. Zhou & Z. L. Wang (Eds.), Scanning Microscopy for Nanotechnology: Techniques and Applications. Springer New York. https://doi.org/10.1007/978-0-387-39620-0
Yıl 2023, , 385 - 395, 30.06.2023
https://doi.org/10.28979/jarnas.1206923

Öz

Proje Numarası

122E201

Kaynakça

  • Ahmadzadeh, E., Jaferzadeh, K., Lee, J., & Moon, I. (2017). Automated three-dimensional morphology-based clustering of human erythrocytes with regular shapes: stomatocytes, discocytes, and echinocytes. Journal of Biomedical Optics, 22(7), 076015. https://doi.org/10.1117/1.jbo.22.7.076015
  • Bhaduri, B., Pham, H., Mir, M., & Popescu, G. (2012). Diffraction phase microscopy with white light. Optics Letters, 37(6), 1094–1096. http://www.ncbi.nlm.nih.gov/pubmed/23292428
  • Buys, A. V, Van Rooy, M.-J., Soma, P., Van Papendorp, D., Lipinski, B., & Pretorius, E. (2013). Changes in red blood cell membrane structure in type 2 diabetes: a scanning electron and atomic force microscopy study. Cardiovascular Diabetology, 12(1), 25. https://doi.org/10.1186/1475-2840-12-25
  • Cacace, T., Bianco, V., & Ferraro, P. (2020). Quantitative phase imaging trends in biomedical applications. Optics and Lasers in Engineering, 135(February), 106188. https://doi.org/10.1016/j.optlaseng.2020.106188
  • Curl, C. L., Bellair, C. J., Harris, T., Allman, B. E., Harris, P. J., Stewart, A. G., Roberts, A., Nugent, K. a., & Delbridge, L. M. D. (2005). Refractive index measurement in viable cells using quantitative phase-amplitude microscopy and confocal microscopy. Cytometry Part A, 65(1), 88–92. https://doi.org/10.1002/cyto.a.20I34
  • Dursun, A., Özder, S., & Ecevit, F. N. (2004). Continuous wavelet transform analysis of projected fringe patterns. Measurement Science and Technology, 15(9), 1768–1772. https://doi.org/10.1088/0957-0233/15/9/013
  • Edwards, C., Zhou, R., Hwang, S., McKeown, S. J., Wang, K., Bhaduri, B., Ganti, R., Yunker, P. J., Yodh, A. G., Rogers, J. A., Goddard, L. L., & Popescu, G. (2014). Diffraction phase microscopy: monitoring nanoscale dynamics in materials science [Invited]. Applied Optics, 53(27), G33. https://doi.org/10.1364/AO.53.000G33
  • Endo, T., Yasuno, Y., Makita, S., Itoh, M., & Yatagai, T. (2005). Profilometry with line-field Fourier-domain interferometry. Optics Express, 13(3), 695–701. https://doi.org/org/10.1364/OPEX.13.000695
  • Goldstein, J. I., Newbury, D. E., Michael, J. R., Ritchie, N. W. M., Scott, J. H. J., & Joy, D. C. (2018). Scanning Electron Microscopy and X-Ray Microanalysis. In Physicochemical Methods of Mineral Analysis. Springer New York. https://doi.org/10.1007/978-1-4939-6676-9
  • Jaferzadeh, K., & Moon, I. (2016). Human red blood cell recognition enhancement with three-dimensional morphological features obtained by digital holographic imaging. Journal of Biomedical Optics, 21(12), 126015. https://doi.org/10.1117/1.jbo.21.12.126015
  • Jaferzadeh, K., Sim, M. W., Kim, N. G., & Moon, I. K. (2019). Quantitative analysis of three-dimensional morphology and membrane dynamics of red blood cells during temperature elevation. Scientific Reports, 9(1), 1–9. https://doi.org/10.1038/s41598-019-50640-z
  • Lee, K., Kim, K., Jung, J., Heo, J., Cho, S., Lee, S., Chang, G., Jo, Y., Park, H., & Park, Y. (2013). Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications. Sensors, 13(4), 4170–4191. https://doi.org/10.3390/s130404170
  • Leonhardt, K. (2005). Optical topometry of surfaces with locally changing materials, layers and contaminations Part 2: Fringe projection topometry. Journal of Modern Optics, 52(10), 1367–1384. https://doi.org/10.1080/09500340512331309057
  • Majeed, H., Ma, L., Lee, Y. J., Kandel, M., Min, E., Jung, W., Best-Popescu, C., & Popescu, G. (2018). Magnified Image Spatial Spectrum (MISS) microscopy for nanometer and millisecond scale label-free imaging. Optics Express, 26(5), 5423. https://doi.org/10.1364/OE.26.005423
  • Majeed, H., Sridharan, S., Mir, M., Ma, L., Min, E., Jung, W., & Popescu, G. (2017). Quantitative phase imaging for medical diagnosis. Journal of Biophotonics, 10(2), 177–205. https://doi.org/10.1002/jbio.201600113
  • Mir, M., Ding, H., Wang, Z., Reedy, J., Tangella, K., & Popescu, G. (2010). Blood screening using diffraction phase cytometry. Journal of Biomedical Optics, 15(2), 027016. https://doi.org/10.1117/1.3369965
  • Moon, I., Yi, F., Lee, Y. H., Javidi, B., Boss, D., & Marquet, P. (2013). Automated quantitative analysis of 3D morphology and mean corpuscular hemoglobin in human red blood cells stored in different periods. Optics Express, 21(25), 30947. https://doi.org/10.1364/oe.21.030947
  • Mukherjee, R., Saha, M., Routray, A., & Chakraborty, C. (2015). Nanoscale Surface Characterization of Human Erythrocytes by Atomic Force Microscopy: A Critical Review. IEEE Transactions on Nanobioscience, 14(6), 625–633. https://doi.org/10.1109/TNB.2015.2424674
  • Oprisan, B., Stoica, I., & Avadanei, M. I. (2017). Morphological changes induced in erythrocyte membrane by the antiepileptic treatment: An atomic force microscopy study. Microscopy Research and Technique, 80(4), 364–373. https://doi.org/10.1002/jemt.22804 Park, H., Lee, S., Ji, M., Kim, K., Son, Y., Jang, S., & Park, Y. (2016). Measuring cell surface area and deformability of individual human red blood cells over blood storage using quantitative phase imaging. Scientific Reports, 6(June), 1–10. https://doi.org/10.1038/srep34257
  • Pham, H. V, Edwards, C., Goddard, L. L., & Popescu, G. (2013). Fast phase reconstruction in white light diffraction phase microscopy. Applied Optics, 52(1), A97. https://doi.org/10.1364/AO.52.000A97
  • Popescu, G. (2011). Quantitative Phase Imaging of Cells and Tissues. The McGraw-Hill Companies, Inc. https://www.accessengineeringlibrary.com/browse/quantitative-phase-imaging-of-cells-and-tissues Popescu, G., Ikeda, T., Dasari, R. R., & Feld, M. S. (2006). Diffraction phase microscopy for quantifying cell structure and dynamics. Optics Letters, 31(6), 775. https://doi.org/10.1364/OL.31.000775
  • Popescu, G., Park, Y. K., Choi, W., Dasari, R. R., Feld, M. S., & Badizadegan, K. (2008). Imaging red blood cell dynamics by quantitative phase microscopy. Blood Cells, Molecules, and Diseases, 41(1), 10–16. https://doi.org/10.1016/j.bcmd.2008.01.010
  • Quan, C., He, X. Y., Wang, C. F., Tay, C. J., & Shang, H. M. (2001). Shape measurement of small objects using LCD fringe projection with phase shifting. Optics Communications, 189(1–3), 21–29. https://doi.org/10.1016/S0030-4018(01)01038-0 Reolon, D., Jacquot, M., Verrier, I., Brun, G., & Veillas, C. (2006). Broadband supercontinuum interferometer for high-resolution profilometry. Optics Express, 14(1), 128–137. https://doi.org/org/10.1364/OPEX.14.000128
  • Singh, V., Srivastava, V., & Mehta, D. S. (2020). Machine learning-based screening of red blood cells using quantitative phase imaging with micro-spectrocolorimetry. Optics and Laser Technology, 124(December 2019). https://doi.org/10.1016/j.optlastec.2019.105980
  • Takeda, M., & Mutoh, K. (1983). Fourier transform profilometry for the automatic measurement of 3-D object shapes. Applied Optics, 22(24), 3977. https://doi.org/10.1364/ao.22.003977
  • Ünal, A., Kocahan, Ö., Altunan, B., Aksoy Gündoğdu, A., Uyanık, M., & Özder, S. (2020). Quantitative phase imaging of erythrocyte in epilepsy patients. Microscopy Research and Technique, December, 1–9. https://doi.org/10.1002/jemt.23676
  • Zhou, W., & Wang, Z. L. (2007). Scanning Microscopy for Nanotechnology. In W. Zhou & Z. L. Wang (Eds.), Scanning Microscopy for Nanotechnology: Techniques and Applications. Springer New York. https://doi.org/10.1007/978-0-387-39620-0
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Klasik Fizik (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Özlem Kocahan Yılmaz 0000-0002-6168-7147

Proje Numarası 122E201
Erken Görünüm Tarihi 21 Haziran 2023
Yayımlanma Tarihi 30 Haziran 2023
Gönderilme Tarihi 18 Kasım 2022
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Kocahan Yılmaz, Ö. (2023). Quantitative Determination of Surface Morphology of Red Blood Cell. Journal of Advanced Research in Natural and Applied Sciences, 9(2), 385-395. https://doi.org/10.28979/jarnas.1206923
AMA Kocahan Yılmaz Ö. Quantitative Determination of Surface Morphology of Red Blood Cell. JARNAS. Haziran 2023;9(2):385-395. doi:10.28979/jarnas.1206923
Chicago Kocahan Yılmaz, Özlem. “Quantitative Determination of Surface Morphology of Red Blood Cell”. Journal of Advanced Research in Natural and Applied Sciences 9, sy. 2 (Haziran 2023): 385-95. https://doi.org/10.28979/jarnas.1206923.
EndNote Kocahan Yılmaz Ö (01 Haziran 2023) Quantitative Determination of Surface Morphology of Red Blood Cell. Journal of Advanced Research in Natural and Applied Sciences 9 2 385–395.
IEEE Ö. Kocahan Yılmaz, “Quantitative Determination of Surface Morphology of Red Blood Cell”, JARNAS, c. 9, sy. 2, ss. 385–395, 2023, doi: 10.28979/jarnas.1206923.
ISNAD Kocahan Yılmaz, Özlem. “Quantitative Determination of Surface Morphology of Red Blood Cell”. Journal of Advanced Research in Natural and Applied Sciences 9/2 (Haziran 2023), 385-395. https://doi.org/10.28979/jarnas.1206923.
JAMA Kocahan Yılmaz Ö. Quantitative Determination of Surface Morphology of Red Blood Cell. JARNAS. 2023;9:385–395.
MLA Kocahan Yılmaz, Özlem. “Quantitative Determination of Surface Morphology of Red Blood Cell”. Journal of Advanced Research in Natural and Applied Sciences, c. 9, sy. 2, 2023, ss. 385-9, doi:10.28979/jarnas.1206923.
Vancouver Kocahan Yılmaz Ö. Quantitative Determination of Surface Morphology of Red Blood Cell. JARNAS. 2023;9(2):385-9.


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