• Laser & Optoelectronics Progress
  • Vol. 55, Issue 12, 120901 (2018)
Keding Yan1, Liang Xue2、*, Huachuan Huang3, and Shouyu Wang4
Author Affiliations
  • 1 School of Electronic Information Engineering, Xi'an Technological University, Xi'an, Shaanxi 710032, China
  • 2 College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • 3 Institute of Fluid Physics, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China
  • 4 Department of Optoelectric Information Science and Technology, School of Science, Jiangnan University, Wuxi, Jiangsu 214122, China
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    DOI: 10.3788/LOP55.120901 Cite this Article Set citation alerts
    Keding Yan, Liang Xue, Huachuan Huang, Shouyu Wang. Research and Design of Quantitative Interferometric Microscopic Cytometer[J]. Laser & Optoelectronics Progress, 2018, 55(12): 120901 Copy Citation Text show less
    (a)-(d) Red blood cells at different positions during field of view scanning; (e)-(h) interferograms in sub-field of view corresponding to those in dashed boxes of (a)-(d)
    Fig. 1. (a)-(d) Red blood cells at different positions during field of view scanning; (e)-(h) interferograms in sub-field of view corresponding to those in dashed boxes of (a)-(d)
    Quantitative phase distributions of red blood cell model. (a) Quantitative phase distribution of red blood cell model obtained according to equation (2); (b) quantitative phase distribution recovered by traditional phase retrieval algorithm based on fast Fourier transform; (c) quantitative phase distribution recovered by traditional phase retrieval algorithm based on Hilbert transform; (d) quantitative phase distribution recovered by expanded principle component analysis phase retrieval algorith
    Fig. 2. Quantitative phase distributions of red blood cell model. (a) Quantitative phase distribution of red blood cell model obtained according to equation (2); (b) quantitative phase distribution recovered by traditional phase retrieval algorithm based on fast Fourier transform; (c) quantitative phase distribution recovered by traditional phase retrieval algorithm based on Hilbert transform; (d) quantitative phase distribution recovered by expanded principle component analysis phase retrieval algorith
    Scheme of quantitative interferometric microscopic cytometer based on mechanic field of view scanning
    Fig. 3. Scheme of quantitative interferometric microscopic cytometer based on mechanic field of view scanning
    (a) Interferograms captured by quantitative interferometric microscopic cytometer with phase retrieval algorithm based on expanded principle component analysis; (b) quantitative phase distribution of red blood cell after phase retrieval
    Fig. 4. (a) Interferograms captured by quantitative interferometric microscopic cytometer with phase retrieval algorithm based on expanded principle component analysis; (b) quantitative phase distribution of red blood cell after phase retrieval
    (a)(b) Red blood cells at different positions during field of view scanning; (c)(d) interferograms in sub-field of view corresponding to those in dashed boxes of (a) and (b); (e) phase of measured sample recovered by phase retrieval algorithm based on regularized optical flowing; (f) quantitative phase distribution of red blood cell model recovered by phase retrieval algorithm based on regularized optical flowing with noise
    Fig. 5. (a)(b) Red blood cells at different positions during field of view scanning; (c)(d) interferograms in sub-field of view corresponding to those in dashed boxes of (a) and (b); (e) phase of measured sample recovered by phase retrieval algorithm based on regularized optical flowing; (f) quantitative phase distribution of red blood cell model recovered by phase retrieval algorithm based on regularized optical flowing with noise
    (a) Processing steps of quantitative interferometric microscopic cytometer with phase retrieval algorithm based on regularized optical flowing; (b) the same batch of red blood cells at differential interferometric contrast microscopy; (c)-(e) quantitative phase distributions of the measured sample recovered by phase retrieval algorithm based on regularized optical flowing
    Fig. 6. (a) Processing steps of quantitative interferometric microscopic cytometer with phase retrieval algorithm based on regularized optical flowing; (b) the same batch of red blood cells at differential interferometric contrast microscopy; (c)-(e) quantitative phase distributions of the measured sample recovered by phase retrieval algorithm based on regularized optical flowing
    Schematic of gravity-driven quantitative interferometric microscopic cytometer
    Fig. 7. Schematic of gravity-driven quantitative interferometric microscopic cytometer
    Procedure of high-throughput and high-speed cell detection with gravity-driven quantitative interferometric microscopic cytometer
    Fig. 8. Procedure of high-throughput and high-speed cell detection with gravity-driven quantitative interferometric microscopic cytometer
    (a) Same batch of red blood cell samples at differential interferometric contrast microscopy; (b)-(f) quantitative phase distributions of different red blood cells obtained by gravity-driven quantitative interferometric microscopic cytometer
    Fig. 9. (a) Same batch of red blood cell samples at differential interferometric contrast microscopy; (b)-(f) quantitative phase distributions of different red blood cells obtained by gravity-driven quantitative interferometric microscopic cytometer
    Parameters of measured red blood cells. (a) Phase volume and phase area (red line indicating linear fitting result); (b) circle-ratio and eccentricity
    Fig. 10. Parameters of measured red blood cells. (a) Phase volume and phase area (red line indicating linear fitting result); (b) circle-ratio and eccentricity
    ItemExpanded principlecomponent analysis algorithmRegularized opticalflowing algorithmGravity-drivenalgorithm
    Scanning principleMechanical scanningMechanical scanningMicrofluidic scanning
    Measurement speedSlowerFasterFastest
    Measurement accuracy*Highest, correlationcoefficient of 0.9999Higher, correlationcoefficient of 0.9977Lower, correlationcoefficient of 0.9879
    Number of interferograms5-1021
    Table 1. Comparison among different quantitative interferometric microscopic cytometers
    Keding Yan, Liang Xue, Huachuan Huang, Shouyu Wang. Research and Design of Quantitative Interferometric Microscopic Cytometer[J]. Laser & Optoelectronics Progress, 2018, 55(12): 120901
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