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Clustering of red blood cells using digital holographic microscopy
Author(s): K. Jaferzadeh; E. Ahmadzadeh; I. Moon; S. Gholami
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Paper Abstract

Digital holographic microscopy can provide quantitative phase images (QPIs) of 3D profile of red blood cell (RBC) with nanometer accuracy. In this paper we propose applying k-means clustering method to cluster RBCs into two groups of young and old RBCs by using a four-dimensional feature vector. The features are RBC thickness average, surface area-volume ratio, sphericity coefficient and RBC perimeter that can be obtained from QPIs. The proposed features are related to the morphology of RBC. The experimental result shows that by utilizing the proposed method two groups of sphero-echinocytes (old RBCs) and non-spheroechinocytes RBCs can be perfectly clustered.

Paper Details

Date Published: 15 May 2017
PDF: 5 pages
Proc. SPIE 10233, Holography: Advances and Modern Trends V, 102331E (15 May 2017); doi: 10.1117/12.2264886
Show Author Affiliations
K. Jaferzadeh, Chosun Univ. (Korea, Republic of)
E. Ahmadzadeh, Chosun Univ. (Korea, Republic of)
I. Moon, Chosun Univ. (Korea, Republic of)
S. Gholami, Chosun Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 10233:
Holography: Advances and Modern Trends V
Miroslav Hrabovský; John T. Sheridan; Antonio Fimia, Editor(s)

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