Araştırma Makalesi

Red Blood Cell Analysis by Hyperspectral Imaging

Cilt: 1 Sayı: 2 29 Aralık 2018
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Red Blood Cell Analysis by Hyperspectral Imaging

Öz

Hyperspectral imaging is a new technology that aims to use the spectral information of each pixel in different spectral bands to find, identify and classify objects in an image. The hyperspectral imaging system, which is frequently used in the field of remote sensing, is becoming a new imaging model for medical applications and non-invasive disease diagnosis. In this study, a hyperspectral microscope system capable of capturing images of biological samples at different range of spectral wavelengths was developed. With this system, red blood cells in the blood sample were analyzed at various wavelengths and image classification was performed to determine the locations of red blood cells (erythrocytes). Subsequently, the detection of cytoplasm, cell edge, extracellular fluid, and pale area in the cell center of each erythrocyte was successfully performed.


Anahtar Kelimeler

Kaynakça

  1. Özçelik, M. F., & Bilge, H. Ş. (2010, April). The determination of white blood cell borders with using of logical and morphological operations in microscopic blood images. In Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th (pp. 688-691). IEEE.
  2. Altın, N., Koray, M., Meşeli, S. E., & Tanyeri, H. (2016). Oral Manifestations of Anemia: Review. Clinical and Experimental Health Sciences, 6(2), 86-92.[3] AYDOĞDU, İ. (2012). Blood Cells in Disrorders and Health. Turkiye Klinikleri Journal of Hematology Special Topics, 5(4), 16-27.
  3. Sharif, J. M., Miswan, M. F., Ngadi, M. A., Salam, M. S. H., & bin Abdul Jamil, M. M. (2012, February). Red blood cell segmentation using masking and watershed algorithm: A preliminary study. In Biomedical Engineering (ICoBE), 2012 International Conference on (pp. 258-262). IEEE.
  4. Chourasiya, S., & Rani, G. U. (2014). Automatic red blood cell counting using watershed segmentation. Hemoglobin, 14, 17.
  5. Wang, R., MacCane, B., & Fang, B. (2010, December). RBC image segmentation based on shape reconstruction and multi-scale surface fitting. In Information Science and Engineering (ISISE), 2010 International Symposium on (pp. 586-589). IEEE.
  6. Guan, Y., Li, Q., Liu, H., Zhu, Z., & Wang, Y. (2012). Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique. Optical Engineering, 51(5), 053202.
  7. Wu, J., Zeng, P., Zhou, Y., & Olivier, C. (2006, November). A novel color image segmentation method and its application to white blood cell image analysis. In Signal Processing, 2006 8th International Conference on (Vol. 2). IEEE.
  8. Liao, Q., & Deng, Y. (2002). An accurate segmentation method for white blood cell images. In Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on (pp. 245-248). IEEE.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

29 Aralık 2018

Gönderilme Tarihi

11 Temmuz 2018

Kabul Tarihi

27 Kasım 2018

Yayımlandığı Sayı

Yıl 2018 Cilt: 1 Sayı: 2

Kaynak Göster

APA
Kurtuldu, H., Oktan, A. D., Candan, H., & Cihangiroğlu, B. S. (2018). Red Blood Cell Analysis by Hyperspectral Imaging. Natural and Applied Sciences Journal, 1(2), 1-7. https://doi.org/10.38061/idunas.442490
AMA
1.Kurtuldu H, Oktan AD, Candan H, Cihangiroğlu BS. Red Blood Cell Analysis by Hyperspectral Imaging. IDU Natural and Applied Sciences Journal (IDUNAS). 2018;1(2):1-7. doi:10.38061/idunas.442490
Chicago
Kurtuldu, Hüseyin, Aynur Didem Oktan, Hatice Candan, ve Beste Sahra Cihangiroğlu. 2018. “Red Blood Cell Analysis by Hyperspectral Imaging”. Natural and Applied Sciences Journal 1 (2): 1-7. https://doi.org/10.38061/idunas.442490.
EndNote
Kurtuldu H, Oktan AD, Candan H, Cihangiroğlu BS (01 Aralık 2018) Red Blood Cell Analysis by Hyperspectral Imaging. Natural and Applied Sciences Journal 1 2 1–7.
IEEE
[1]H. Kurtuldu, A. D. Oktan, H. Candan, ve B. S. Cihangiroğlu, “Red Blood Cell Analysis by Hyperspectral Imaging”, IDU Natural and Applied Sciences Journal (IDUNAS), c. 1, sy 2, ss. 1–7, Ara. 2018, doi: 10.38061/idunas.442490.
ISNAD
Kurtuldu, Hüseyin - Oktan, Aynur Didem - Candan, Hatice - Cihangiroğlu, Beste Sahra. “Red Blood Cell Analysis by Hyperspectral Imaging”. Natural and Applied Sciences Journal 1/2 (01 Aralık 2018): 1-7. https://doi.org/10.38061/idunas.442490.
JAMA
1.Kurtuldu H, Oktan AD, Candan H, Cihangiroğlu BS. Red Blood Cell Analysis by Hyperspectral Imaging. IDU Natural and Applied Sciences Journal (IDUNAS). 2018;1:1–7.
MLA
Kurtuldu, Hüseyin, vd. “Red Blood Cell Analysis by Hyperspectral Imaging”. Natural and Applied Sciences Journal, c. 1, sy 2, Aralık 2018, ss. 1-7, doi:10.38061/idunas.442490.
Vancouver
1.Hüseyin Kurtuldu, Aynur Didem Oktan, Hatice Candan, Beste Sahra Cihangiroğlu. Red Blood Cell Analysis by Hyperspectral Imaging. IDU Natural and Applied Sciences Journal (IDUNAS). 01 Aralık 2018;1(2):1-7. doi:10.38061/idunas.442490

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