검색 전체 메뉴
PDF
맨 위로
OA 학술지
Phase Only Pupil Filter Design Using Zernike Polynomials
  • 비영리 CC BY-NC
  • 비영리 CC BY-NC
ABSTRACT
Phase Only Pupil Filter Design Using Zernike Polynomials
KEYWORD
Wavefront coding , Non-integer phase mask , Depth of field , Imaging system
  • I. INTRODUCTION

    In numerous applications it is necessary to extend the depth of field (DOF) and improve the resolution for an optical system, such as microlithography [1], optical data storage [2], and microscopy imaging [3, 4]. One of the most popular techniques to achieve DOF extension and superresolution includes introducing a pupil filter at the pupil plane of an optical system to modify the radial and axial spot size of the point spread function (PSF).

    Since Toraldo made a seminal study on a radial-symmetric filter [5], a lot of work has been done on the design of a pupil filter. Although an amplitude only filter can provide effective superresolution and DOF extension, it still has two main difficulties. The first one is the reduction of image brightness and the other refers to the fabrication, especially for continuously varying amplitude functions [6, 7]. Therefore, in recent years phase only filter design has achieved a rapid development based on the parabolic approximation of the PSF for the general filters introduced by Sheppard [8, 9]. Typically, the design strategies of pupil filters include circular obstructions [10-12], continuously varying functions, such as Bessel functions [13, 14] and Gaussian functions [15], and special forms, such as a spoke wheel filter [16].

    In this paper, a phase only filter is proposed by using Zernike polynomials. Radial and axial spot sizes of an optical system with and without the designed filter are analyzed relatively based on scalar diffraction theory. Then, compared with the other two typical phase filters (three-zones and Gaussian functions), we show its advantages on DOF extension and superresolution. Finally, we further demonstrate the availability and superiority of our proposed phase only filter through defocus imaging simulation.

    II. BASIC PRINCIPLE

    According to the Born and Wolf’s theory [17], at the focal region, the amplitude distribution of a converging monochromatic spherical wavefront passing through the pupil plane can be written as:

    image

    Where ρ is the normalized radial coordinate of the pupil plane, P represents the pupil function, J0 represents Bessel function of the first kind of order zero, u and v are the radial and axial dimensionless optical coordinates, given by:

    image

    Where NA is the numerical aperture of the optical system, λ is the wavelength of the incident light, r and z are the usual radial and axial distances.

    Since most practical imaging systems use incoherent illumination, the light intensity distribution near the focal region can be calculated by its amplitude distribution, written as:

    image

    Where * denotes the complex conjugate.

    After introducing the phase pupil filter into the optical system, the light intensity distribution will be modulated by the phase changing of the pupil function to realize the DOF extension and superresolution. These can be evaluated by the following three parameters:

    1. Defocus Strehl ratio S.R.(0, zdefocus), defined as the ratio of the intensity at the focal point to that corresponding to a clear pupil, is a relevant parameter for analyzing the imaging quality. It is used to evaluate the ability of DOF extension for a pupil filter. Typically, the defocused imaging quality can be considered acceptable when S.R.(0, zdefocus) ≥ 0.8. Thus, the effective depth of focus can be written as DS.R. ≥ 0.8. 2. Superresolution factor G, defined as the ratio of the radius of the central lobe of the intensity distribution to that corresponding to a clear pupil, is a parameter for calculating the spot size reduction. G < 1 means the resolution enhancement for the optical system. 3. Relative first side lobe intensity M, defined as the ratio of between the central lobe intensity and the maximum intensity at the first side lobe, is also a parameter used to evaluate the ability of superresolution for a pupil filter. Typically, M must be limited to less than 0.2 in order not to reduce the resolution and cause energy loss.

    These parameters can be written as:

    image

    Where zdefocus is the defocus distance, Imax(0, zdefocus) is the intensity at the focal point with defocus distance zdefocus, Imax(0, 0) is the intensity at the focal point of without defocus, Rcentral lobe is the radius of central lobe of intensity, vfirst-side lobe is the radial optical coordinate of maximum intensity at the first side lobe.

    III. PUPIL FILTER DESIGN

    The pupil functions of an optical system with phase only pupil filter can be written as:

    image

    Where Ψ(ρ) is phase function of the pupil filter.

    Compared with conventional power functions or Gaussian functions, there are some advantages for pupil filter design by using Zernike functions since they are closely related with optical aberrations. The phase functions with Zernike functions now can be written as:

    image

    Where K is the diffraction order, here set to 1, N is the number of Zernike coefficients, Zi is the ith Zernike standard polynomial and Ai is the corresponding coefficient, ρ is the normalized radial coordinate of the pupil plane and φ is the angular coordinate.

    The first 16 polynomials of the Zernike functions are shown in Table 1 [18].

    [TABLE1.] Comparison of evaluation parameters for different phase pupil filters

    label

    Comparison of evaluation parameters for different phase pupil filters

    image

    Here 1st, 4th, 5th, 9th, 12th, 16th polynomials of the Zernike functions are chosen to build the phase functions of the pupil filter by considering both availability for spot size modulation and the ease of fabrication. According to the relationships between Zernike functions and Seidel aberrations, roles that these polynomials play in the phase function can be analyzed reasonably.

    1. 1st polynomial is a constant, representing the thickness of the pupil filter. Usually, the ratio between thickness and aperture of an optical element is not less than 0.2. Otherwise, the element will be fragile and hard to assemble. 2. 4th, 9th, 16th polynomials represent the defocus, primary spherical aberration and high-order spherical aberration respectively, which are useful to modulate the radius of the central lobe of the intensity distribution. In addition, these three have the ability to reduce the impact of defocus. 3. 5th, 6th, 12th, 13th polynomials represent the primary astigmatic aberration and high-order astigmatic aberration, which can limit the intensity distribution of the side lobe effectively. The 6th term is rotated 45 degrees from the 5th term and the 13th term is rotated 45 degrees from the 12th term. But they make no contribution to the DOF extension and superresolution. In order to simplify the optimization, only 5th, 12th terms are selected to suppress the energy of the side lobe.

    The optimization process is described as follows:

    A series of coefficients of chosen Zernike polynomials is used to calculate the PSF of the optical system with the phase pupil filter, and the M can be obtained from the calculated PSF.

    If the value of M is larger than the threshold (here the threshold is 0.2), select the next series of coefficients to re-calculate the PSF since the optical system is no longer suitable for imaging with a bigger M.

    If the value of M is not larger than the threshold, continue calculating defocus Strehl ratio S.R. and superresolution gain G of the optical system. Then, choose proper weight coefficients κ1 and κ2 to calculate the comprehensive evaluation result of this series of coefficients of Zernike polynomials. The coefficients κ1 and κ2 are used to balance super-resolution and DOF extension. In this paper, we are more concerned about DOF extension, so the κ1 equals 0.7 and κ2 equals 0.3.

    Repeat the above steps, selecting the best comprehensive evaluation result. The corresponding coefficients are the optimization results.

    It can be presented as follows by C-type codes:

    Iteration:

    for{(Ai) = Coef(i), i++}

    image

    end

    (Ai)opt = Coef(Maxima(Value))

    In the optimization, Coef is a matrix containing all the combinations of coefficients within a certain range, Value_sr and Value_g are used to keep the defocus Strehl ratio S.R. and superresolution gain G with different coefficients under M constraint, κ1 and κ2 are the weight coefficients.

    Thus, optimized coefficients of the proposed Zernike phase only pupil filter can be obtained by a global optimization algorithm, as shown below:

    A1= 0.250, A4= −0.233, A5= −0.126, A9= 0.317, A12= −0.071, A16= 0.042.

    IV. DISCUSSION AND COMPARISON

    By introducing the designed pupil filter into a conventional optical system with clear pupil, the improvement for imaging quality can be analyzed numerically through calculating the intensity distribution near the focal plane.

    The radial intensity distributions at the focal point are shown in Fig. 1. The coordinates of the figure are in wavelengths. As Fig. 1 shows, the size of the central lobe is compressed by the designed pupil filter compared with the optical system of a clear pupil, which means there is resolution enhancement.

    The ability of extending DOF of the Zernike phase only pupil filter can be reflected on the axial intensity distribution across the focal region, as shown in Fig. 2. Similarly, the coordinates are in wavelength. As can be seen from Fig. 2, the length of the bright spot is much longer than that of a conventional optical system, which characterizes the DOF extension.

    Then, through comparison with the other two pupil filters, advantages of the Zernike phase only pupil filter are shown as follows. Here, forms of the two pupil filters are three zones [10] and Gaussian function [15], their phase functions can be respectively written as:

    Three zones:

    image

    Where ρ1 and ρ2 are the radiuses of the first and second rings, here, ρ1 = 0.64, ρ2 = 0.82 [10].

    Gaussian functions:

    image

    Where w is the width of half height, and n is order of Gaussian functions, here, w = 0.12, n = 8 [15].

    The comparison of radial intensity distributions at the focal point are shown in Fig. 3. It is clearly seen that the intensity distribution with the Zernike phase only pupil filter has the smallest radius of central lobe, which indicates its advantages on superresolution for a conventional optical system. Besides, the maximum intensity at the first side lobe of the proposed pupil filter is constrained quite low, which benefits from the 5th, 12th polynomials of the Zernike functions.

    The comparison of axial intensity distributions across the focal plane are shown in Fig. 4. The value of the transverse dotted line equals 0.8, which is used to indicate effective defocus Strehl ratio. That means the imaging quality is acceptable at a certain defocus distance if the corresponding normalized intensity is greater than this value. It can be seen in Fig. 4, the optical system with Zernike phase only pupil filter can keep its normalized intensity greater than 0.8 over the longest range of defocus distance.

    The summary of the ability of DOF extension and superresolution for these three pupil filters is shown in the table below. In Table 1, effective depth of focal DS.R. ≥ 0.8 of the clear pupil is normalized and superresolution factor G is inverted to show the resolution enhancement more intuitively. Compared with conventional optical system, DOF is enlarged 4.15 times and resolution is enhanced 1.32 times when introducing the Zernike phase only pupil filter.

    In order to demonstrate the ability of DOF extension and superresolution of our designed pupil filter further, imaging simulations are carried out. The virtual object used in the simulations is a resolution testing panel of line pairs with different spatial frequencies. Meanwhile, the defocus distance added in the simulations is from 0λ to 3λ. Results are shown in Table 2. From the first line of these figures in Table 2, the resolution of the optical system is clearly enhanced with all the three pupil filters compared to that with the clear pupil. In performance on DOF extension, the Zernike phase only pupil filter show its advantages. Its imaging results keep quite good quality over the entire defocus distance, which is very useful in numerous applications.

    [TABLE 2.] Comparison of defocused imaging for different phase pupil filters

    label

    Comparison of defocused imaging for different phase pupil filters

    V. CONCLUSION

    In this paper, we have proposed an optical phase only pupil filter using Zernike functions, used to realize DOF extension and superresolution. Based on analyzing the relationship between Seidel aberrations and Zernike polynomials, design parameters of the proposed pupil filter are optimized. Compared with other two typical pupil filters, the Zernike pupil filter shows its advantages on both DOF extension and superresolution, enlarging DOF 4.15 times and enhancing resolution 1.32 times. Finally, imaging simulations with different defocus distances further demonstrate its effectiveness and superiority on improving the performance of the conventional optical system.

참고문헌
  • 1. Fukuda H., Yamanaka R. (1992) “A new pupil filter for annular illumination in optical lighography,” [Jpn. J. Appl. Phys.] Vol.31 P.4126-4130 google cross ref
  • 2. Zhao X., Li C., Ruan H. (2005) “New approach for improving transverse superresolution in optical data storage,” [Opt. Eng.] Vol.44 P.125202 google cross ref
  • 3. Ju?kaitis R., Botcherby E. J., Wilson T. (2005) “Scanning microscopy with extended depth of focus,” [Proc. SPIE] Vol.5701 P.85-92 google
  • 4. de Juana D. M., Otti J. E., Canales V. F., Cagigal M. P. (2003) “Tranverse or axial superresolution in a 4Pi confocal microscope by phase only filters,” [J. Opt. Soc. Am. A] Vol.20 P.2172-2178 google cross ref
  • 5. di Francia G. T. (1952) “Super gain antennas and optical resolving power,” [Atti Fond. Giorgio Rochi] Vol.7 P.366-372 google
  • 6. Sales T. R., Morris G. M. (1997) “Diffractive superresolution elements,” [J. Opt. Soc. Am. A] Vol.14 P.1637 google cross ref
  • 7. Sales R. M., Michael G. (1998) “Axial superresolution with phase-only pupil filters,” [Opt. Commun.] Vol.156 P.227-239 google cross ref
  • 8. Sheppard J. R., Campos J., Escalera J. C., Ledesma S. (2008) “Two-zone pupil filter,” [Opt. Commun.] Vol.281 P.913-922 google cross ref
  • 9. Sheppard J. R., Campos J., Escalera J. C., Ledesma S. (2008) “Three-zone pupil filter,” [Opt. Commun.] Vol.281 P.3623-3630 google cross ref
  • 10. Ben-Eliezer E., Konforti N., Milgrom B., Marom E. (2008) “An optimal binary amplitude-phase mask for hybrid imaging systems that exhibit high resolution and extend depth of field,” [Opt. Express] Vol.16 P.20540-20561 google cross ref
  • 11. Sheppard J. R. (2013) “Pupil filters for generation of light sheets,” [Opt. Express] Vol.21 P.6339-6345 google cross ref
  • 12. Yu X. J., Liu X. Y., Gu J., Cui D. Y., Wu J. Y., Liu L. B. (2014) “Depth extension and sidelobe suppression in optical coherence tomography using pupil filters,” [Opt. Express] Vol.22 P.26956-26966 google cross ref
  • 13. Canales V. F., Cagigal M. P. (2006) “Pupil filter design by using a Bessel functions basis at the image plane,” [Opt. Express] Vol.14 P.10393-10402 google cross ref
  • 14. Ochoa N. A., Garcia-Marquez J., Gonzales-Vega A. (2011) “Hybrid pupilfilter design using Bessel series,” [Opt. Commun.] Vol.284 P.4900-4902 google cross ref
  • 15. Ledesma S., Campos J., Escalera J. C. (2004) “Simple expressions for performance parameters of complex filters with applications to super Gaussian phase filters,” [Opt. Lett.] Vol.29 P.932-934 google cross ref
  • 16. Liu T., Tan J. B., Liu J. (2010) “Spoke wheel filtering strategy for on-axis flattop shaping,” [Opt. Express] Vol.18 P.2822-2835 google cross ref
  • 17. Born M., Wolf E. 1999 Principles of Optics P.484-492 google
  • 18. Malacara D. 2006 Optical Shop Testing P.498-544 google
OAK XML 통계
이미지 / 테이블
  • [ ] 
  • [ ] 
  • [ ] 
  • [ ] 
  • [ ] 
  • [ ] 
  • [ TABLE1. ]  Comparison of evaluation parameters for different phase pupil filters
    Comparison of evaluation parameters for different phase pupil filters
  • [ ] 
  • [ ] 
  • [ FIG. 1. ]  Radial intensity distributions of optical system with (b) and without (a) pupil filter.
    Radial intensity distributions of optical system with (b) and without (a) pupil filter.
  • [ FIG. 2. ]  Axial intensity distributions of optical system with (b) and without (a) pupil filter.
    Axial intensity distributions of optical system with (b) and without (a) pupil filter.
  • [ ] 
  • [ ] 
  • [ FIG. 3. ]  Comparison of normalized radial intensity distribution at focus plane with different phase pupil filters and clear pupil.
    Comparison of normalized radial intensity distribution at focus plane with different phase pupil filters and clear pupil.
  • [ FIG. 4. ]  Comparison of normalized axial intensity distribution across focus point with different phase pupil filters and clear pupil.
    Comparison of normalized axial intensity distribution across focus point with different phase pupil filters and clear pupil.
  • [ TABLE 2. ]  Comparison of defocused imaging for different phase pupil filters
    Comparison of defocused imaging for different phase pupil filters
(우)06579 서울시 서초구 반포대로 201(반포동)
Tel. 02-537-6389 | Fax. 02-590-0571 | 문의 : oak2014@korea.kr
Copyright(c) National Library of Korea. All rights reserved.