• Chinese Journal of Lasers
  • Vol. 45, Issue 2, 207009 (2018)
Zhang Lu1、*, Zhao Chunhui1, Kang Senbai1, Zhao Hong1, Zhang Chunwei1, and Yuan Li2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/CJL201845.0207009 Cite this Article Set citation alerts
    Zhang Lu, Zhao Chunhui, Kang Senbai, Zhao Hong, Zhang Chunwei, Yuan Li. Progress on Methods of Quantitative Phase Measurement and Retrieval for Biological Cells[J]. Chinese Journal of Lasers, 2018, 45(2): 207009 Copy Citation Text show less
    Experimental setup of simultaneous phase shift shear interference[3-4]
    Fig. 1. Experimental setup of simultaneous phase shift shear interference[3-4]
    Schematic of off-axis digital holographic. (a) Ref. [10]; (b) Ref. [12]; (c) Ref. [13]; (d) Ref. [15]; (e) Ref. [16]
    Fig. 2. Schematic of off-axis digital holographic. (a) Ref. [10]; (b) Ref. [12]; (c) Ref. [13]; (d) Ref. [15]; (e) Ref. [16]
    Experimental setup of optofluidic time-stretch quantitative phase microscope[44]
    Fig. 3. Experimental setup of optofluidic time-stretch quantitative phase microscope[44]
    (a) Experimental setup of phase microscopy imaging based on common-path without micro-objective[48];(b) multi-wavelength lens-free video microscopy[49]; (c) schematic of the combined DHM and HOT workstation using holographic optical stretching and quantitative phase imaging of RBCs[50]
    Fig. 4. (a) Experimental setup of phase microscopy imaging based on common-path without micro-objective[48];(b) multi-wavelength lens-free video microscopy[49]; (c) schematic of the combined DHM and HOT workstation using holographic optical stretching and quantitative phase imaging of RBCs[50]
    TechnologyYearSamplePhaseshiftDigitalholographicCharacteristicStatus of sampleandapplication
    Polarizing coupledinterferometers2015Acetate sheet;red cellsDynamic
    Spatial light interferencemicroscopy2017Neuronal cells3D dynamic
    Simultaneous phase-shiftinterference microscopy2015Resolution:0.4868 μmDynamic
    Quantitative phasecytometryline-focusedbeam illumination2017Hela cellsImaging speed:1000/13 min-1;classificationaccuracy: 96.5%Dynamic
    Holographicimaging cytometry2017Humanosteosarcoma cellsDuration: 2 dDynamic
    Low-coherenceoff-axis interferencephase microscopy2017Melanoma cells;normal cellsClassificationaccuracy: 81%-99%3D dynamic
    Digital holographicmicroscopy2017Hela cellsDuration: 2-3 d4D dynamic
    Michelson interference-based self-interferencephase microscopy2017PancreaticImaging speed:1000/15 h-1;duration: 1.5 hDynamic; cellculture quality
    Digital holographicmicroscopy2017Jimt-1 cells;SK-MEL-5cellsDuration: 36 hDynamic; cell proliferation assays
    Optical diffractiontomography2017Sh-SY5Y cellsDynamic; diagnosis forparkinson's disease
    Digital holographicmicroscopy apparatuswith pre-magnification2012Osteoblasts and bonecells, paramecia,red cells,cervical cancer cellsDuration: 8 hDynamic
    Laser scanningcytometer1999CellsImaging speed:several hundreds ofcells per secondDynamic
    Parallel microfluidicflow cytometer2011CellsDynamic; diagnosisfor protein-misfoldingdiseases
    Microfabricated multiplefield of view imagingflow cytometer2012Red blood cells,acute myeloidleukemia cellsImaging speed:2000-20000 s-1Dynamic; cellsmorphology andcharacterized
    Serial time encodedamplified microscopy2012White bloodt-cells; coloncancer cellsImaging speed:100000 s-1;classificationaccuracy: 95.5%Dynamic; earlydetection anddiagnosis forblood diseases
    Optofluidic timestretch microscopy2017Blood cellsImaging speed:100000 s-1;classificationaccuracy: 96.6%Dynamic; therapeuticmonitoring forthrombotic
    Machine-learning optofluidictime-stretch quantitativephase microscopy2017Microalgae cellsImaging speed: 10000 s-1;classification accuracy: 97%Dynamic
    Common-path withoutmicro-objectivephase microscopy2015Blood cellsResolution: <4 μmDynamic
    Multiwavelength lens-freevideo microscopy2017Mesenchymal,endothelial,epithelial cellsDuration:several daysDynamic;dense cells
    Digital holographicmicroscopy2017Red cellsDynamic; early detectionand diagnosis for blooddiseases
    Table 1. Phase measurement methods for dynamic biological cells
    TechnologyPhase shift stepsOne shotStatus of sample
    Coaxial interference phase shift≥3×Static
    Phase extraction in wavelength tuning interferometry≥3×Static
    Off-axis interference phase shift2Static
    Fourier transform1Static
    Hilbert transform1Static
    Gram-Schmidt orthonormalization and improvedGram-Schmidt orthonormalization2Dynamic
    Interference fringe differentiation1Dynamic
    New image segmentation≥1Dynamic
    Table 2. Characteristics of phase retrieval methods
    TechnologyYearCoaxialOff-axisSteps ofphase shiftDigitalholographicCharacteristicImagingdimension
    Fourier phasemicroscopy20044Sampling rate:4 frame·min-12D
    Fast-Fourier phasemicroscopy20074Lateral resolution:diffraction limit;vertical resolution: 2 nm;sampling rate≥10 frame·s-12D
    Space light interferencemicroscopy20114Resolution: the same asatomic force microscope;sampling rate≥10 frame·s-12D
    White light-Fourierphase microscopy20134Sampling rate: 12.5 frame·s-12D
    Parallel two-step phaseshift microscopy201022D
    Full-field opticaltomography technology201043D
    Fresnel diffractionnumerical representation2005Vertical resolution:sub-wavelength2D
    Diffraction phasemicroscopy20062D
    White light-diffractionphase microscopy2013Sampling rate: ms2D
    Non-diffractionreconstruction2006Vertical resolution: 5 nm;sampling rate: ms2D
    Digital holographicmicroscopy based onMichelson interference2011Lateral resolution:sub-cellular2D
    Off-axis interferenceasynchronousdigital holography20072Sampling rate: ms2D
    Dual channelinterference microscopy20092Sampling rate: ms3D
    Table 3. Characteristics of phase measurement methods for static biological cells
    Zhang Lu, Zhao Chunhui, Kang Senbai, Zhao Hong, Zhang Chunwei, Yuan Li. Progress on Methods of Quantitative Phase Measurement and Retrieval for Biological Cells[J]. Chinese Journal of Lasers, 2018, 45(2): 207009
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