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Visible achromatic super-oscillatory metasurfaces for sub-diffraction focusing

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Abstract

Conventional optical lenses enable precise foci but suffer from the diffraction limit due to the cutoff of spatial frequencies. Development of a super-oscillatory phenomenon offers an alternative approach to realize far-field sub-diffraction focusing. However, most super-oscillatory lenses exhibit a strong dependence on incident wavelengths, resulting in a narrow-band working frequency due to a fragile super-oscillatory field. Here, for the first time, achromatic super-oscillatory metasurfaces (ASOMs) are proposed to simultaneously steer optical fields at visible wavelengths of 473 nm, 532 nm and 632.8 nm and to achieve focusing at the same axial position with a resolution beyond the diffraction limit. These metasurface-based devices provide dispersionless phase profiles so that the material dispersion can be neglected in the optimization process. In addition, the design strategy can effectively circumvent the axial chromatic aberration observed in previously demonstrated metasurfaces. Constructed ASOMs are further verified numerically and simulated results for one ASOM with spot sizes of 0.706, 0.722 and 0.750 times the diffraction limit at the preset plane are consistent with the designs. Furthermore, benefiting from flexible and arbitrary phase modulations of the metasurface, the proposed method gives more freedom for a design of a super-oscillatory field and enables a lightweight, low-cost and compact optical element to replace the bulky doublet/triplet lens in a conventional optical system.

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

1. Introduction

A conventional optical system typically suffers from the diffractive nature of light and cannot produce a spot with a size smaller than the Abbe diffraction limit of 0.5λ/NA, where λ is the wavelength of the illumination and NA is the numerical aperture. From the viewpoint of Fourier optics, the limited resolution is attributed to the cutoff of the spatial frequencies contributing to the plane of interest. Over the last few decades, several super-resolution methods have been demonstrated by exploiting and collecting non-propagating evanescent waves, which deliver higher spatial frequencies of an object into the imaging plane, such as the scanning near-field optical microscopy (SNOM) [1], superlens [2], and hyperlens [3]. However, near-field methods generally comprise of complex optical constructions and require precise operations. Alternative methods involve the fluorescence radiation manipulation [4–6]. A typical super-resolution microscope based on this technique is the well-known stimulated emission depletion microscope (STED) [4,7]. Although this method delivers high-resolution images for biological samples, it relies on dye labelling which poses limitations for certain types of samples, especially in non-invasive applications.

Recently, a far-field super-resolution technology based on the optical super-oscillatory phenomenon was proposed and applied in various optical systems, such as a confocal scanning microscope [8], a high density magnetic recording system [9] and a telescope [10]. This unique phenomenon occurs in the region where the band-limited function is able to oscillate much faster than its highest Fourier component [8–10]. Currently, super-oscillatory lenses (SOLs) contain complex structures to precisely manipulate the amplitude or phase of optical fields. Some examples include binary amplitude masks [8,9,11–13], phase-type metasurface masks [13,14], spatial light modulators (SLMs) [15,16], photonic quasicrystal lenses [17–21], among others. The delicate interference of transmitted or reflected light by these specially designed structures is essential to realize an optical super-oscillatory field. However, a slight disturbance of the light field can destroy the delicate interference, thereby resulting in a break of the super-oscillatory field, especially for the highly-compressed hotspot. Therefore, most previously reported SOLs operate in a narrowband wavelength regime and present a strong dependence on incident wavelengths [8–12,15–17,22]. Benefiting from the extraordinary capability of a metasurface to control the electromagnetic wave with thicknesses on the order of the wavelength [23–30], an ultra-broadband SOL was proposed to realize far-field sub-diffraction focusing [14]. The axial chromatic aberration, also observed in previously reported metasurface-based devices, could be removed through the combination of a metasurface-based filter and a commercial achromatic focusing lens [30]. However, bulky conventional lenses prevented the realization of a compact and light-weight optical system in a realistic application. Even though single-layer achromatic SOLs have been reported [13], their phase-type achromatic SOL was fabricated on a dielectric substrate. In this case, several incident wavelengths caused a change of the transmitted phase profile due to the inherent material dispersion. Therefore, the material dispersion must be carefully considered in the optimization process.

In this work, ASOMs are realized by employing metasurfaces composed of rotating high-aspect-ratio titanium dioxide (TiO2) nanofins to precisely control the phase profiles of the transmitted light. In contrast to conventional optical elements exhibiting material dispersions, the proposed metasurface-based devices can provide dispersionless phase profiles for various incident wavelengths. Furthermore, simultaneous optimizations for three wavelengths can effectively remove the axial chromatic aberration appearing in previous metasurface-based devices [14,23–26]. In our demonstrative simulations, through the genetic algorithm (GA) optimization to control multi-objective and multi-constraint optimization models, ASOMs at three visible wavelengths of 473 nm, 532 nm and 632.8 nm are constructed to overcome the diffraction limit at the same observation plane. Optimized ASOMs are further demonstrated through the electromagnetic simulation and the numerical results agree well with the desired resolution. Spot size of central hotspots for one ASOM at the preset plane are 0.706, 0.722 and 0.750 times the diffraction limit. Flexible and arbitrary phase manipulations of the metasurface gives more freedom in designing a multi-functional SOL and the ultrathin single-layer structure guarantees a light-weight, low-cost and compact optical system.

2. Light response of unit cell and designs of ASOMs

ASOMs consist of a large number of high-aspect-ratio TiO2 nanofins with various orientations. As illustrated in Fig. 1, nanofins with two vertical orientations possess a designed binary Pancharatnam-Berry (PB) phase profile when the left circularly polarized (LCP) light passes through the structure and converts to the right circularly polarized (RCP) light [23]. At three visible wavelengths of 473 nm, 532 nm and 632.8 nm, the generated phase profile is dispersionless but can form respective sub-diffraction foci at the same plane through simultaneous optimizations in the design.

 figure: Fig. 1

Fig. 1 Schematic of a metasurface for achromatic sub-diffraction focusing. ASOM: achromatic super-oscillatory metasurface; R: red light; G: green light; B: blue light.

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In principle, the phase shift (Ф) of the cross-polarized light depends on the rotating angle (φ) of the nanofin satisfying the relationship: Φ=2φ for LCP incidence [23]. To further demonstrate it numerically, a TiO2 block has a fixed orientation (φ), 160 nm length, 50 nm width and 600 nm height on a glass substrate with 200 × 200 nm period, as shown in Fig. 2(a). The parameters are optimized through a commercial electromagnetic software (CST Microwave Studio) for a high conversion efficiency and can be fabricated by a previously reported method [31]. When LCP light normally illuminates from the bottom of the glass substrate at three wavelengths of 473 nm, 532 nm and 632.8 nm, transmitted phase and amplitude modulations of the cross-polarized light are calculated, as shown in Fig. 2(b). The phase shift changes from 0° to 360° with a nearly linear relationship with the orientation of the nanofin at the wavelength of 632.8 nm. Deviations between the theoretical and numerical results may be attributed to the different light interactions with respect to the orientation. As the PB phase is intrinsically independent of the operating frequency due to its dispersionless property, the cross-polarized phase profiles at wavelengths of 473 nm and 532 nm are parallel to the red line for phase in Fig. 2(b). The average amplitudes of the cross-polarization conversion are 0.86, 0.978 and 0.823 at wavelengths of 473 nm, 532 nm and 632.8 nm, and can be further improved through a reflective layer [28]. At each single wavelength, the change of the rotating angle slightly affects the transmitted amplitude, thus only the phase profile needs to be optimized in our designs while the amplitude profile is considered to be uniform.

 figure: Fig. 2

Fig. 2 Light response of a high-aspect-ratio TiO2 nanofin. (a) Schematic of the TiO2 nanofin. The rectangular structure rotates an angle (φ) with respect to the x axis. (b) Phase and amplitude modulations of the cross-polarization light with various orientations at wavelengths of 473 nm, 532 nm and 632.8 nm. Average amplitudes of the LCP/RCP conversion are 0.86, 0.978 and 0.823, respectively.

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To precisely characterize the required achromatic super-oscillatory hotspots for various wavelengths, a multi-objective and multi-constraint optimization model is established, as presented in Eqs. (1) and (2). Objective functions contain three parts for various wavelengths to minimize the full-width-at-half-maximum (FWHM) of the central super-oscillatory hotspot; constraint conditions mainly contain two parts: the first three inequalities are used to control the dark regions between the main hotspots and the side-lobes for various wavelengths, and the last equality is for the phase-modulation constraint. The mathematical expressions are presented as follows:

min{Iλ1(FWHMλ12;f;T)/Iλ1(0;f;T)Iλ2(FWHMλ22;f;T)/Iλ2(0;f;T)Iλ3(FWHMλ32;f;T)/Iλ3(0;f;T)
Subject to:
{Iλ1(r;f;T)/Iλ1(0;f;T)MIλ2(r;f;T)/Iλ2(0;f;T)MIλ3(r;f;T)/Iλ3(0;f;T)MT=[t1,t2,...,tN]{0,π}or{0,π/2,π,3π/2}...L1rL2,
where, I is the total optical intensity on the preset plane; f is the distance between the nanofin surface and the preset plane; FWHM represents the full-width-at-half-maximum of the central super-oscillatory hotspot; the dark region between the central hotspot and the surrounding side-lobes is r[L1,L2], where the maximum intensity is less than M=20% of the peak intensity at the center; T is the transmission with a total number N of rings in the ASOMs and is constrained to 2-step, 4-step or multi-step phase modulation in [0,2π].

The multi-objective and multi-constraint optimization model here is also known as the Pareto optimal model. For the multi-objective model, it is challenging to minimize three FWHMs minimal simultaneously due to conflicting objective functions, but there are a number of moderate optimal solutions, which are suitable for the model. The normal approaches to solve the Pareto optimal model involve controlling the weighted coefficient w of each objective function and converting the model to the single-objective model with the objective function expressed as:

minn=1,2,3wn*Iλn(FWHMλn2;f;T)/Iλn(0;f;T).
The importance of each objective function defines each weighted coefficient. Here, the weighted coefficients of w1, w2 and w3 are assigned to be the average value of 1/3. GA is widely used to solve this Pareto optimal model and generate a high-quality solution with the powerful parallel and global searching capability. For each possible transmission function, the optical intensity on the preset plane mainly comes from transverse electrical components, as the longitudinal component is strongly suppressed in far-field measurements [32]. It can be calculated through zeroth order Hankel transforms using vectorial angular spectrum theory (VAS) [33]. A fast Hankel transform algorithm is utilized to accelerate the calculation and optimization [34].

3. Optical performance analysis of ASOMs

In the following examples, LCP beam illuminates the ASOMs and propagates in air at three wavelengths of 473 nm, 532 nm and 632.8 nm. Diameters of the ASOMs are 20 μm and the preset plane is located at a distance of 10 μm from the nanofin surface; the total number N equals to 50, i.e. each discrete unit is 200 nm in the Fig. 2(a). According to the aforementioned optimization procedure, after sufficient iterations to pursue the minimal value of the objective function, the transmitted binary phase profile of the ASOM1 is achieved, as shown in Fig. 3(a). With the relationship between the phase modulation and the rotating angle in Fig. 2(b), the binary ASOM1 can be constructed, where the orientations of 0° and 90° correspond to the phase modulations of 0 and π, respectively. Theoretical intensity profiles calculated by VAS at the preset plane are shown in Figs. 3(c-e), and the suppressed FWHMs are 250.5 nm, 277.6 nm and 326.3 nm at wavelengths of 473 nm, 532 nm and 632.8 nm. These overcome the diffraction limit of 334.5 nm, 376.2 nm and 447.5 nm for three wavelengths, with sub-diffraction ratios of 0.749, 0.738 and 0.729, respectively. Using the definition of the super-oscillation [35], the local wavevector (klocal=Ψ, phase gradient) is calculated from the optical field at the preset plane. Super-oscillatory regions are located at the intensity minima, where the local phase can oscillate rapidly and klocalare much higher than the highest Fourier component of kmax=2π/λNA, as indicated by the shaded regions in Figs. 3(c-e).

 figure: Fig. 3

Fig. 3 Optimized results through GA algorithm. (a) Transmission of the ASOM1, containing binary phase modulations, either 0 or π. (b) ASOM1 is 20 μm diameter; the zoom-in section shows the central region of ASOM1 with only two orientations: 0° or 90°, corresponding to a phase change of π. (c-e) Distributions of the spot (solid lines) and local wavevector (dashed lines) across z = 10 μm at wavelengths of 473 nm, 532 nm and 632.8 nm.

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ASOM1 is further validated numerically and a feasible method proposed in the previous reference [36] is used to reduce the computation time. Interactions between light and ASOM1 are calculated in CST software, where the upper and lower boundary from the structure are 0 μm and 1 μm, respectively, and open boundary conditions are used along x, y and z directions. The total mesh cells in the CST model from the upper to lower boundary are about 4 x107 to 5 x107 to guarantee at least two mesh cells in the minimum feature size. The field distribution at a distance of 0.1 μm from the nanofin surface is extracted and then used to calculate other axial distributions by VAS theory. The axial intensity distributions on the propagating direction and the intensity profiles across the preset plane (z = 10 μm) are shown in Fig. 4. Performance of optimized ASOM1 are presented in Table 1. FWHMs of the central spots are 0.763, 0.756 and 0.755 times the diffraction limit at the wavelengths of 473 nm, 532 nm and 632.8 nm, respectively. Deviations between the simulated and theoretical results may be attributed to the insufficient discrete sampling, since desired circular symmetric modulations can appear square-like, as shown in the inset image in Fig. 3(b). The increase of resolution comes at a price of losing the focusing intensity and energy focused into the central hotspots. However, the low levels of throughput efficiencies are acceptable compared to the ultralow transmission efficiencies of SNOM and complex near-field manipulations. It is also noted that our binary ASOM1 will work well under a linear polarized light because the phase shift of two perpendicular orientations is also π for the transmitted cross-polarized light [30]. It implies a polarization independence of the binary ASOM1.

 figure: Fig. 4

Fig. 4 (a-c) Intensity distributions along the propagating direction and (d-f) Intensity profiles across z = 10 μm for ASOM1 at wavelengths of 473 nm, 532 nm and 632.8 nm.

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Tables Icon

Table 1. Performance of optimized ASOMs. The incident intensity is 1.

It is evident that the intensities at the preset plane are lower than the peak/nearby intensities on the axial axis. This can be attributed to the fact that the energy concentration problem is not considered in the framework of the design. Hence, the energy concentration on the axial direction is included in the multi-objective and multi-constraint model. Intensities around the preset plane are set to be smaller than the central intensity at z = f. Thus three more constraints are added into Eq. (2) as follows:

Iλn(r;z;T)Iλn(0;f;T)fDzf+D,
where, D = 0.5 μm is used to define the size of the constrained region. The binary phase of ASOM2 is optimized through the aforementioned process and the optical distributions are presented in Fig. 5. The intensities at z = 10 μm are higher than the nearby axial intensities in the shaded region, as shown in Figs. 5(a-c). Performance of optimized ASOM2 are presented in Table 1. Central hotspots have slightly compressed spot size with 0.848, 0.846 and 0.847 times the diffraction limit but lower intensities of side-lobes, which are beneficial for super-resolution imaging due to less background noises. These are reasonable as sub-diffraction hotspots are influenced by many conflicting factors such as FWHM, surrounding side-lobes, field of view, the energy distribution on the axial direction, and so on. A tradeoff among these parameters must be carefully considered when designing a super-oscillatory field. Theoretically, the super-oscillatory hotspot has no physical resolution limit and can be as small as we want [37], but most of light energy generally contributes to the significant increase of side-lobes, which is a drawback for many applications.

 figure: Fig. 5

Fig. 5 (a-c) Intensity distributions of ASOM2 along the propagating direction, the shaded region represents the constrained region of the energy concentration. An artificial scale bar is used for a clear display near the foci. (d-f) Intensity profiles across z = 10 μm at the wavelengths of 473 nm, 532 nm and 632.8 nm.

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In the above examples, the nanofins only manipulate the transmitted phase profile with two values of 0 and π. In principle, an arbitrarily desired phase profile is possible according to the array of orientations of nanofins. In order to demonstrate the flexible phase manipulations of nanofins, ASOM3 with 4-step phase in [0,2π] is designed for achromatic focusing, as shown in Fig. 6. Performance of optimized ASOM3 are presented in Table 1. FWHMs of central spots at z = 10 μm are 0.722, 0.750 and 0.706 times the diffraction limit at wavelengths of 473 nm, 532nm and 632.8 nm. Compressed FWHMs and focusing intensities of ASOM3 are better than binary ASOM1. It means that increasing the number of phase levels between 0 and 2π would be beneficial towards improving the quality of the super-oscillatory hotspot [13]. Benefiting from flexible and arbitrary phase modulations of the metasurface, it is possible to design a high-performance component with more phase levels in [0, 2π] to balance conflicting factors of a super-oscillatory field.

 figure: Fig. 6

Fig. 6 (a) Transmission of the ASOM3, containing four phase modulations in [0, 2π]: 0, π/2, π and 3π/2. (b-d) Intensity profiles across z = 10 μm at wavelengths of 473 nm, 532 nm and 632.8 nm.

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4. Conclusion

An achromatic sub-diffraction method is proposed through utilizing metasurfaces composed of arrayed nanofins to simultaneously focus light at three visible wavelengths of 473 nm, 532 nm and 632.8 nm into the same axial plane with sub-diffraction resolution. Metasurface-based devices provide dispersionless phase profiles for various incident wavelengths and neglect the influence of the material dispersion in optimizations. Simultaneous optimizations for three wavelengths can effectively remove the axial chromatic aberration. Binary and multi-step phase-type ASOMs are optimized through multi-objective and multi-constraint models and further verified numerically. Simulated results are consistent with the desired expectations and FWHMs of central hotspots for one ASOM at the preset plane are 0.706, 0.722 and 0.750 times the diffraction limit. Additionally, the optimization models can be modified for practical applications, like real-time super-resolution imaging by adjusting the ratio of the intensities of the central spot and side-lobes, and high-quality needle focusing by adding a constraint condition for the intensity uniformity along the axial direction. We expect that the ultrathin achromatic metasurfaces can be helpful in bringing about a considerable reduction of the volume, weight and cost of an optical system by replacing bulky conventional doublet/triplet lenses.

Funding

Fundamental Research Funds for the Central Universities (531118010189, 531107050979); National Natural Science Foundation of China (61405058).

Acknowledgments

We would like to thank the State Key Laboratory of Optical Technologies on Nano-Fabrication and Micro-Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences for the software sponsorship.

Disclosures

The authors declare that there are no conflicts of interest related to this article.

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Figures (6)

Fig. 1
Fig. 1 Schematic of a metasurface for achromatic sub-diffraction focusing. ASOM: achromatic super-oscillatory metasurface; R: red light; G: green light; B: blue light.
Fig. 2
Fig. 2 Light response of a high-aspect-ratio TiO2 nanofin. (a) Schematic of the TiO2 nanofin. The rectangular structure rotates an angle (φ) with respect to the x axis. (b) Phase and amplitude modulations of the cross-polarization light with various orientations at wavelengths of 473 nm, 532 nm and 632.8 nm. Average amplitudes of the LCP/RCP conversion are 0.86, 0.978 and 0.823, respectively.
Fig. 3
Fig. 3 Optimized results through GA algorithm. (a) Transmission of the ASOM1, containing binary phase modulations, either 0 or π. (b) ASOM1 is 20 μm diameter; the zoom-in section shows the central region of ASOM1 with only two orientations: 0° or 90°, corresponding to a phase change of π. (c-e) Distributions of the spot (solid lines) and local wavevector (dashed lines) across z = 10 μm at wavelengths of 473 nm, 532 nm and 632.8 nm.
Fig. 4
Fig. 4 (a-c) Intensity distributions along the propagating direction and (d-f) Intensity profiles across z = 10 μm for ASOM1 at wavelengths of 473 nm, 532 nm and 632.8 nm.
Fig. 5
Fig. 5 (a-c) Intensity distributions of ASOM2 along the propagating direction, the shaded region represents the constrained region of the energy concentration. An artificial scale bar is used for a clear display near the foci. (d-f) Intensity profiles across z = 10 μm at the wavelengths of 473 nm, 532 nm and 632.8 nm.
Fig. 6
Fig. 6 (a) Transmission of the ASOM3, containing four phase modulations in [0, 2π]: 0, π/2, π and 3π/2. (b-d) Intensity profiles across z = 10 μm at wavelengths of 473 nm, 532 nm and 632.8 nm.

Tables (1)

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Table 1 Performance of optimized ASOMs. The incident intensity is 1.

Equations (4)

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min { I λ1 ( FWH M λ1 2 ;f;T)/ I λ1 (0;f;T) I λ2 ( FWH M λ2 2 ;f;T)/ I λ2 (0;f;T) I λ3 ( FWH M λ3 2 ;f;T)/ I λ3 (0;f;T)
{ I λ1 (r;f;T)/ I λ1 (0;f;T)M I λ2 (r;f;T)/ I λ2 (0;f;T)M I λ3 (r;f;T)/ I λ3 (0;f;T)M T=[ t 1 , t 2 ,..., t N ] {0,π} or {0,π/2 ,π, 3π/2 } ... L 1 r L 2 ,
min n=1,2,3 w n * I λn ( FWH M λn 2 ;f;T)/ I λn (0;f;T) .
I λn (r;z;T) I λn (0;f;T) fDzf+D,
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