Morphology analysis of unlabeled red blood cells based on quantitative differential phase contrast microscopy

被引:8
|
作者
He, Linna [1 ]
Shao, Meng [1 ]
Yang, Xiao [1 ]
Si, Li [2 ]
Jiang, Mengduo [1 ]
Wang, Tao [1 ]
Ke, Zeyu [1 ]
Peng, Tao [1 ]
Fang, Shu [1 ]
Zhang, Shengzhao [1 ]
Ouyang, Xilin [3 ]
Zhao, Gang [4 ]
Zhou, Jinhua [1 ]
机构
[1] Anhui Med Univ, Sch Biomed Engn, Anhui Prov Inst Translat Med, Hefei, Anhui, Peoples R China
[2] Anhui Med Univ, Dept Clin Lab, Affiliated Hosp 1, Hefei, Anhui, Peoples R China
[3] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 4, Beijing, Peoples R China
[4] Univ Sci & Technol China, Dept Elect Sci & Technol, Hefei, Anhui, Peoples R China
关键词
differential phase contrast; morphological indexes; quantitative differential phase contrast; red blood cells; STORAGE;
D O I
10.1002/cyto.a.24546
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The current classical blood smear technique to observe the morphology of single red blood cells (RBCs) for classification is a laborious and error-prone process. To objectively evaluate the morphology of blood cells, we established a method of computational imaging based on a programmable light emitting diode array. By using quantitative differential phase contrast (qDPC), we characterized the morphology of unlabeled RBCs as well as blood smears. By focusing on comparing the difference of imaging between unlabeled RBCs and stained RBCs under multimode microscopic imaging technology, we demonstrated that qDPC could clearly differentiate discocytes and spherocytes in both unlabeled RBCs and blood smears. The phase map provided by quantitative phase imaging further enhanced the classification accuracy. According to statistical analysis from morphological indexes, the qDPC imaging has a significantly improvement in non-circularity, texture inhomogeneity and equivalent diameters of cells. Thus, this method has a significant superiority in the capability to analyze the morphology of RBCs and could be applied to clinical assays for determining morphological, functional, and structural deterioration of RBCs.
引用
收藏
页码:648 / 657
页数:10
相关论文
共 50 条
  • [31] Isotropic quantitative differential phase contrast microscopy using deep neural networks
    Li, An-Cin
    Lin, Yu-Hsiang
    Huang, Hsuan-Ming
    Luo, Yuan
    BIOMEDICAL IMAGING AND SENSING CONFERENCE 2020, 2020, 11521
  • [32] Dynamic Differential Image Contrast by Digital Holography for imaging and Quantitative Phase Microscopy
    Miccio, L.
    Finizio, A.
    Puglisi, R.
    Balduzzi, D.
    Galli, A.
    Ferraro, P.
    ADVANCED MICROSCOPY TECHNIQUES II, 2011, 8086
  • [33] Differential phase contrast for quantitative imaging and spectro-microscopy at a nanoprobe beamline
    Quinn, Paul D.
    Cacho-Nerin, Fernando
    Gomez-Gonzalez, Miguel A.
    Parker, Julia E.
    Poon, Timothy
    Walker, Jessica M.
    JOURNAL OF SYNCHROTRON RADIATION, 2023, 30 : 200 - 207
  • [34] Deep neural networks enabled isotropic quantitative differential phase contrast microscopy
    Li, An-Cin
    Lin, Yu-Hsiang
    Huang, Hsuan-Ming
    Luo, Yuan
    BIOMEDICAL IMAGING AND SENSING CONFERENCE 2021, 2021, 11925
  • [35] EXACT DESCRIPTION OF URINARY RED-BLOOD-CELL MORPHOLOGY BY PHASE-CONTRAST MICROSCOPY (PCM) AND SCANNING ELECTRON-MICROSCOPY (SEM)
    HILDEBRANDT, F
    RUNGE, J
    KONIG, B
    FECHT, A
    BRANDIS, M
    EUROPEAN JOURNAL OF PEDIATRICS, 1987, 146 (01) : 101 - 101
  • [36] Quantitative phase imaging of human red blood cells using phase-shifting white light interference microscopy with colour fringe analysis
    Mehta, Dalip Singh
    Srivastava, Vishal
    APPLIED PHYSICS LETTERS, 2012, 101 (20)
  • [37] Quantitative phase imaging of living red blood cells combining digital holographic microscopy and deep learning
    Zhao, Jiaxi
    Liu, Lin
    Wang, Tianhe
    Zhang, Jing
    Wang, Xiangzhou
    Du, Xiaohui
    Hao, Ruqian
    Liu, Juanxiu
    Liu, Yi
    Liu, Yong
    JOURNAL OF BIOPHOTONICS, 2023, 16 (10)
  • [38] Quantitative Analysis of Viscoelastic Properties of Red Blood Cells using Optical Tweezers and Defocusing Microscopy
    Barreto, Lucas
    Gomez, Fran
    Lourenco, Pedro S.
    Freitas, Douglas G.
    Soares, Juliana
    Berto-Junior, Clemilson
    Agero, Ubirajara
    Viana, Nathan B.
    Pontes, Bruno
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2022, (181):
  • [39] Morphology Based Automatic Disease Analysis Through Evaluation of Red Blood Cells
    Chandrasiri, Sanjeevi
    Samarasinghe, Pradeepa
    PROCEEDINGS FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION, 2014, : 318 - 323
  • [40] A STUDY OF RED BLOOD SICKLE CELLS USING DIFFERENTIAL POLARIZATION MICROSCOPY
    BEACH, DA
    WELLS, KS
    BUSTAMANTE, C
    BIOPHYSICAL JOURNAL, 1987, 51 (02) : A283 - A283