Literature DB >> 29188659

Morphometric analysis of erythrocytes from patients with thalassemia using tomographic diffractive microscopy.

Yang-Hsien Lin1, Shin-Shyang Huang1, Shang-Ju Wu2, Kung-Bin Sung1,3,4.   

Abstract

Complete blood count is the most common test to detect anemia, but it is unable to obtain the abnormal shape of erythrocytes, which highly correlates with the hematologic function. Tomographic diffractive microscopy (TDM) is an emerging technique capable of quantifying three-dimensional (3-D) refractive index (RI) distributions of erythrocytes without labeling. TDM was used to characterize optical and morphological properties of 172 erythrocytes from healthy volunteers and 419 erythrocytes from thalassemic patients. To efficiently extract and analyze the properties of erythrocytes, we developed an adaptive region-growing method for automatically delineating erythrocytes from 3-D RI maps. The thalassemic erythrocytes not only contained lower hemoglobin content but also showed doughnut shape and significantly lower volume, surface area, effective radius, and average thickness. A multi-indices prediction model achieved perfect accuracy of diagnosing thalassemia using four features, including the optical volume, surface-area-to-volume ratio, sphericity index, and surface area. The results demonstrate the ability of TDM to provide quantitative, hematologic measurements and to assess morphological features of erythrocytes to distinguish healthy and thalassemic erythrocytes. (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  erythrocyte; thalassemia; three-dimensional adaptive region-growing; tomographic diffractive microscopy

Mesh:

Year:  2017        PMID: 29188659     DOI: 10.1117/1.JBO.22.11.116009

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  3 in total

1.  Analysis of polarized diffraction images of human red blood cells: a numerical study.

Authors:  Wenjin Wang; Li Min; Peng Tian; Chao Wu; Jing Liu; Xin-Hua Hu
Journal:  Biomed Opt Express       Date:  2022-02-03       Impact factor: 3.732

2.  Automatic detection and characterization of quantitative phase images of thalassemic red blood cells using a mask region-based convolutional neural network.

Authors:  Yang-Hsien Lin; Ken Y-K Liao; Kung-Bin Sung
Journal:  J Biomed Opt       Date:  2020-11       Impact factor: 3.170

Review 3.  Salivary exosomal microRNAs as biomarkers for head and neck cancer detection-a literature review.

Authors:  Cosmin Ioan Faur; Horatiu Rotaru; Ciprian Osan; Ancuta Jurj; Rares Calin Roman; Madalina Moldovan; Magdalena Chirila; Mihaela Hedesiu
Journal:  Maxillofac Plast Reconstr Surg       Date:  2021-06-30
  3 in total

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