Boundary-artifact-free phase retrieval with the transport of intensity equation II: applications to microlens characterization.

Boundary conditions play a crucial role in the solution of the transport of intensity equation (TIE). If not appropriately handled, they can create significant boundary artifacts across the reconstruction result. In a previous paper [Opt. Express 22, 9220 (2014)], we presented a new boundary-artifact-free TIE phase retrieval method with use of discrete cosine transform (DCT). Here we report its experimental investigations with applications to the micro-optics characterization. The experimental setup is based on a tunable lens based 4f system attached to a non-modified inverted bright-field microscope. We establish inhomogeneous Neumann boundary values by placing a rectangular aperture in the intermediate image plane of the microscope. Then the boundary values are applied to solve the TIE with our DCT-based TIE solver. Experimental results on microlenses highlight the importance of boundary conditions that often overlooked in simplified models, and confirm that our approach effectively avoid the boundary error even when objects are located at the image borders. It is further demonstrated that our technique is non-interferometric, accurate, fast, full-field, and flexible, rendering it a promising metrological tool for the micro-optics inspection.

[1]  M. Graef,et al.  A new symmetrized solution for phase retrieval using the transport of intensity equation. , 2002, Micron.

[2]  Malgorzata Kujawinska,et al.  Effect of imposed boundary conditions on the accuracy of transport of intensity equation based solvers , 2013, Optical Metrology.

[3]  C. Campbell Wave-front sensing by use of a Green's function solution to the intensity transport equation: comment. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[4]  A. Asundi,et al.  High-speed transport-of-intensity phase microscopy with an electrically tunable lens. , 2013, Optics express.

[5]  T. Kozacki,et al.  Optimum measurement criteria for the axial derivative intensity used in transport of intensity-equation-based solvers. , 2014, Optics letters.

[6]  C. Sheppard Defocused transfer function for a partially coherent microscope and application to phase retrieval. , 2004, Journal of the Optical Society of America. A, Optics, image science, and vision.

[7]  J R Fienup,et al.  Phase retrieval algorithms: a comparison. , 1982, Applied optics.

[8]  A. Asundi,et al.  Noninterferometric single-shot quantitative phase microscopy. , 2013, Optics letters.

[9]  I. Han New method for estimating wavefront from curvature signal by curve fitting , 1995 .

[10]  K. Nugent,et al.  Rapid quantitative phase imaging using the transport of intensity equation , 1997 .

[11]  L. Tian,et al.  Transport of Intensity phase-amplitude imaging with higher order intensity derivatives. , 2010, Optics express.

[12]  Pietro Ferraro,et al.  Compensation of the inherent wave front curvature in digital holographic coherent microscopy for quantitative phase-contrast imaging. , 2003, Applied optics.

[13]  A. Asundi,et al.  Boundary-artifact-free phase retrieval with the transport of intensity equation: fast solution with use of discrete cosine transform. , 2014, Optics express.

[14]  K. Nugent,et al.  Phase retrieval with the transport-of-intensity equation: matrix solution with use of Zernike polynomials , 1995 .

[15]  S. Wilkins,et al.  On X-ray phase retrieval from polychromatic images , 1998 .

[16]  N. Streibl Three-dimensional imaging by a microscope , 1985 .

[17]  M. Teague Deterministic phase retrieval: a Green’s function solution , 1983 .

[18]  A. Barty,et al.  Quantitative phase‐amplitude microscopy. III. The effects of noise , 2004, Journal of microscopy.

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

[20]  K. Nugent,et al.  Phase retrieval with the transport-of-intensity equation. II. Orthogonal series solution for nonuniform illumination , 1996 .

[21]  K. Nugent,et al.  Quantitative phase‐amplitude microscopy I: optical microscopy , 2002, Journal of microscopy.

[22]  A. Asundi,et al.  Comparison of Digital Holography and Transport of Intensity for Quantitative Phase Contrast Imaging , 2014 .

[23]  K. Nugent,et al.  Partially coherent fields, the transport-of-intensity equation, and phase uniqueness , 1995 .

[24]  Johannes Frank,et al.  Non-interferometric, non-iterative phase retrieval by Green's functions. , 2010, Journal of the Optical Society of America. A, Optics, image science, and vision.

[25]  Leslie J. Allen,et al.  Phase retrieval from series of images obtained by defocus variation , 2001 .

[26]  A. Greenaway,et al.  Wave-front sensing by use of a Green's function solution to the intensity transport equation. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[27]  Etienne Cuche,et al.  Numerical parametric lens for shifting, magnification, and complete aberration compensation in digital holographic microscopy. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[28]  E. Cuche,et al.  Characterization of microlenses by digital holographic microscopy. , 2006, Applied optics.

[29]  Qian Chen,et al.  Transport-of-intensity phase imaging using Savitzky-Golay differentiation filter--theory and applications. , 2013, Optics express.

[30]  B. Kemper,et al.  Digital holographic microscopy for live cell applications and technical inspection. , 2008, Applied optics.

[31]  Anand Asundi,et al.  Microlens characterization by digital holographic microscopy with physical spherical phase compensation. , 2010, Applied optics.

[32]  K. Nugent,et al.  Noninterferometric phase imaging with partially coherent light , 1998 .

[33]  E. Cuche,et al.  Digital holography for quantitative phase-contrast imaging. , 1999, Optics letters.