Highly temporal stable, wavelength-independent, and scalable field-of-view common-path quantitative phase microscope

Abstract. Significance: High temporal stability, wavelength independency, and scalable field of view (FOV) are the primary requirements of a quantitative phase microscopy (QPM) system. The high temporal stability of the system provides accurate measurement of minute membrane fluctuations of the biological cells that can be an indicator of disease diagnosis. Aim: The main aim of this work is to develop a high temporal stable technique that can accurately quantify the cell’s dynamics such as membrane fluctuations of human erythrocytes. Further, the technique should be capable of acquiring scalable FOV and resolution at multiple wavelengths to make it viable for various biological applications. Approach: We developed a single-element nearly common path, wavelength-independent, and scalable resolution/FOV QPM system to obtain temporally stable holograms/interferograms of the biological specimens. Results: With the proposed system, the temporal stability is obtained ∼15  mrad without using any vibration isolation table. The capability of the proposed system is first demonstrated on USAF resolution chart and polystyrene spheres (4.5-μm diameter). Further, the system is implemented for single shot, wavelength-independent quantitative phase imaging of human red blood cells (RBCs) with scalable resolution using color CCD camera. The membrane fluctuation of healthy human RBCs is also measured and was found to be around 47 nm. Conclusions: Contrary to its optical counterparts, the present system offers an energy efficient, cost effective, and simple way of generating object and reference beam for the development of common-path QPM. The present system provides the flexibility to the user to acquire multi-wavelength quantitative phase images at scalable FOV and resolution.

[1]  Gabriel Popescu,et al.  Measurement of red blood cell mechanics during morphological changes , 2010, Proceedings of the National Academy of Sciences.

[2]  J. Rogers,et al.  Spatial light interference microscopy (SLIM) , 2010, IEEE Photonic Society 24th Annual Meeting.

[3]  Yukihiro Nishida,et al.  Modified slanted-edge method and multidirectional modulation transfer function estimation. , 2014, Optics express.

[4]  D. S. Mehta,et al.  Sub-nanometer height sensitivity by phase shifting interference microscopy under environmental fluctuations. , 2020, Optics express.

[5]  Balpreet Singh Ahluwalia,et al.  Effect on the longitudinal coherence properties of a pseudothermal light source as a function of source size and temporal coherence. , 2018, Optics letters.

[6]  Balpreet Singh Ahluwalia,et al.  Sampling moiré method: a tool for sensing quadratic phase distortion and its correction for accurate quantitative phase microscopy. , 2020, Optics express.

[7]  Balpreet Singh Ahluwalia,et al.  Multi-modal chip-based fluorescence and quantitative phase microscopy for studying inflammation in macrophages. , 2018, Optics express.

[8]  Peter T. C. So,et al.  Quantitative phase microscopy of red blood cells during planar trapping and propulsion† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c8lc00356d , 2018, Lab on a chip.

[9]  R. Dasari,et al.  Diffraction phase microscopy for quantifying cell structure and dynamics. , 2006, Optics letters.

[10]  D. S. Mehta,et al.  Characterization of color cross-talk of CCD detectors and its influence in multispectral quantitative phase imaging. , 2018, Optics express.

[11]  Baoli Yao,et al.  Off-axis digital holographic microscopy with LED illumination based on polarization filtering. , 2013, Applied optics.

[12]  Dalip Singh Mehta,et al.  Multispectral quantitative phase imaging of human red blood cells using inexpensive narrowband multicolor LEDs. , 2016, Applied optics.

[13]  Tan H. Nguyen,et al.  Diffraction phase microscopy: principles and applications in materials and life sciences , 2014 .

[14]  Jianlin Zhao,et al.  Lateral shearing common-path digital holographic microscopy based on a slightly trapezoid Sagnac interferometer. , 2017, Optics express.

[15]  Qian Chen,et al.  Phase aberration compensation in digital holographic microscopy based on principal component analysis. , 2013, Optics letters.

[16]  H. Pham,et al.  Diffraction phase microscopy with white light. , 2012, Optics letters.

[17]  Dalip Singh Mehta,et al.  Quantitative phase imaging of biological cells using spatially low and temporally high coherent light source. , 2016, Optics letters.

[18]  Bahram Javidi,et al.  Lateral shearing digital holographic imaging of small biological specimens. , 2012, Optics express.

[19]  A. Boccara,et al.  High-resolution full-field optical coherence tomography with a Linnik microscope. , 2002, Applied optics.

[20]  Barry R. Masters,et al.  Quantitative Phase Imaging of Cells and Tissues , 2012 .

[21]  T. Huser,et al.  Optical trapping and propulsion of red blood cells on waveguide surfaces. , 2010, Optics express.

[22]  Bahram Javidi,et al.  Wide field of view common-path lateral-shearing digital holographic interference microscope , 2017, Journal of biomedical optics.

[23]  M. Takeda,et al.  Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry , 1982 .

[24]  Jorge Garcia-Sucerquia,et al.  Accurate single-shot quantitative phase imaging of biological specimens with telecentric digital holographic microscopy , 2014, Journal of biomedical optics.

[25]  Valentina Preziosi,et al.  Microfluidics analysis of red blood cell membrane viscoelasticity. , 2011, Lab on a chip.

[26]  Dalip Singh Mehta,et al.  Ultra-short longitudinal spatial coherence length of laser light with the combined effect of spatial, angular, and temporal diversity , 2015 .

[27]  T. Poon,et al.  Phase sensitivity of off-axis digital holography. , 2018, Optics letters.