Chinese Journal of Lasers, Volume. 45, Issue 2, 207009(2018)
Progress on Methods of Quantitative Phase Measurement and Retrieval for Biological Cells
Figures & Tables(7)
![Schematic of off-axis digital holographic. (a) Ref. [10]; (b) Ref. [12]; (c) Ref. [13]; (d) Ref. [15]; (e) Ref. [16]](/Images/icon/loading.gif){kind=icon}
Fig. 2. Schematic of off-axis digital holographic. (a) Ref. [10]; (b) Ref. [12]; (c) Ref. [13]; (d) Ref. [15]; (e) Ref. [16]
Fig. 3. Experimental setup of optofluidic time-stretch quantitative phase microscope[44]
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]
Table 1. Phase measurement methods for dynamic biological cells
View tableTable 1. Phase measurement methods for dynamic biological cells
Technology Year Sample Phase shift Digital holographic Characteristic Status of sample andapplication Polarizing coupled interferometers 2015 Acetate sheet; red cells √ Dynamic Spatial light interference microscopy 2017 Neuronal cells √ 3D dynamic Simultaneous phase-shift interference microscopy 2015 √ Resolution: 0.4868 μm Dynamic Quantitative phase cytometryline-focused beam illumination 2017 Hela cells √ Imaging speed: 1000/13 min-1; classification accuracy: 96.5% Dynamic Holographic imaging cytometry 2017 Human osteosarcoma cells √ Duration: 2 d Dynamic Low-coherence off-axis interference phase microscopy 2017 Melanoma cells; normal cells √ Classification accuracy: 81%-99% 3D dynamic Digital holographic microscopy 2017 Hela cells √ Duration: 2-3 d 4D dynamic Michelson interference- based self-interference phase microscopy 2017 Pancreatic √ Imaging speed: 1000/15 h-1; duration: 1.5 h Dynamic; cell culture quality Digital holographic microscopy 2017 Jimt-1 cells; SK-MEL-5cells √ Duration: 36 h Dynamic; cell proliferation assays Optical diffraction tomography 2017 Sh-SY5Y cells √ Dynamic; diagnosis for parkinson's disease Digital holographic microscopy apparatus with pre-magnification 2012 Osteoblasts and bone cells, paramecia, red cells, cervical cancer cells √ Duration: 8 h Dynamic Laser scanning cytometer 1999 Cells √ Imaging speed: several hundreds of cells per second Dynamic Parallel microfluidic flow cytometer 2011 Cells √ Dynamic; diagnosis for protein-misfolding diseases Microfabricated multiple field of view imaging flow cytometer 2012 Red blood cells, acute myeloid leukemia cells √ Imaging speed: 2000-20000 s-1 Dynamic; cells morphology and characterized Serial time encoded amplified microscopy 2012 White blood t-cells; colon cancer cells √ Imaging speed: 100000 s-1; classification accuracy: 95.5% Dynamic; early detection and diagnosis for blood diseases Optofluidic time stretch microscopy 2017 Blood cells √ Imaging speed: 100000 s-1; classification accuracy: 96.6% Dynamic; therapeutic monitoring for thrombotic Machine-learning optofluidic time-stretch quantitative phase microscopy 2017 Microalgae cells √ Imaging speed: 10000 s-1; classification accuracy: 97% Dynamic Common-path without micro-objective phase microscopy 2015 Blood cells √ Resolution: <4 μm Dynamic Multiwavelength lens-free video microscopy 2017 Mesenchymal, endothelial, epithelial cells √ Duration: several days Dynamic; dense cells Digital holographic microscopy 2017 Red cells √ Dynamic; early detection and diagnosis for blood diseases
Table 2. Characteristics of phase retrieval methods
View tableTable 2. Characteristics of phase retrieval methods
Technology Phase shift steps One shot Status of sample Coaxial interference phase shift ≥3 × Static Phase extraction in wavelength tuning interferometry ≥3 × Static Off-axis interference phase shift 2 √ Static Fourier transform 1 √ Static Hilbert transform 1 √ Static Gram-Schmidt orthonormalization and improved Gram-Schmidt orthonormalization 2 √ Dynamic Interference fringe differentiation 1 √ Dynamic New image segmentation ≥1 √ Dynamic
Table 3. Characteristics of phase measurement methods for static biological cells
View tableTable 3. Characteristics of phase measurement methods for static biological cells
Technology Year Coaxial Off-axis Steps of phase shift Digital holographic Characteristic Imaging dimension Fourier phase microscopy 2004 √ 4 Sampling rate: 4 frame·min-1 2D Fast-Fourier phase microscopy 2007 √ 4 Lateral resolution: diffraction limit; vertical resolution: 2 nm; sampling rate≥10 frame·s-1 2D Space light interference microscopy 2011 √ 4 Resolution: the same as atomic force microscope; sampling rate≥10 frame·s-1 2D White light-Fourier phase microscopy 2013 √ 4 Sampling rate: 12.5 frame·s-1 2D Parallel two-step phase shift microscopy 2010 √ 2 2D Full-field optical tomography technology 2010 √ 4 3D Fresnel diffraction numerical representation 2005 √ √ Vertical resolution: sub-wavelength 2D Diffraction phase microscopy 2006 √ √ 2D White light-diffraction phase microscopy 2013 √ √ Sampling rate: ms 2D Non-diffraction reconstruction 2006 √ √ Vertical resolution: 5 nm; sampling rate: ms 2D Digital holographic microscopy based on Michelson interference 2011 √ √ Lateral resolution: sub-cellular 2D Off-axis interference asynchronous digital holography 2007 √ 2 √ Sampling rate: ms 2D Dual channel interference microscopy 2009 √ 2 √ Sampling rate: ms 3D
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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
Paper Information
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Received: Sep. 15, 2017
Accepted: --
Published Online: Feb. 28, 2018
The Author Email: Lu Zhang (gingerluzhang@mail.xjtu.edu.cn)
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