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Grayscale-patterned integrated multilayer-metal-dielectric microcavities for on-chip multi/hyperspectral imaging in the extended visible bandwidth

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Abstract

Pixelated filter arrays of Fabry-Perot (FP) cavities are widely integrated with photodetectors to achieve a WYSIWYG (“what you see is what you get”) on-chip spectral measurements. However, FP-filter-based spectral sensors typically have a trade-off between their spectral resolution and working bandwidth due to design limitations of conventional metal or dielectric multilayer microcavities. Here, we propose a new idea of integrated color filter arrays (CFAs) consisting of multilayer metal-dielectric-mirror FP microcavities that, enable a hyperspectral resolution over an extended visible bandwidth (∼300 nm). By introducing another two dielectric layers on the metallic film, the broadband reflectance of the FP-cavity mirror was greatly enhanced, accompanied by as-flat-as-possible reflection-phase dispersion. This resulted in balanced spectral resolution (∼10 nm) and spectral bandwidth from 450 nm to 750 nm. In the experiment, we used a one-step rapid manufacturing process by using grayscale e-beam lithography. A 16-channel (4 × 4) CFA was fabricated and demonstrated on-chip spectral imaging with a CMOS sensor and an impressive identification capability. Our results provide an attractive method for developing high-performance spectral sensors and have potential commercial applications by extending the utility of low-cost manufacturing process.

© 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

1. Introduction

From classical RGB Bayer filters to multi/hyperspectral integrated color filter arrays (CFAs), on-chip spectral sensors have been a key characterization technology for spectral imaging in remote sensing [17]. They allow the miniaturization of bulky spectrometers into compact and portable equipment. Spatially and spectrally-variable narrowband filters are integrated into the image sensor and aligned with underlying pixels [814]. Various integrated filter schemes and fabrication approaches based on thin-film Fabry-Perot (FP) cavities [1524], photonic crystals [25], waveguide resonators [26], and metasurfaces [2734] have been exploited, which are differentiated by their principles, configurations, and materials. Among these micro/nano filters, FP microcavities have the most mature mechanism and the simplest tuning method, i.e., by varying their cavity length. Although they have been used commercial products, FP-cavity spectral sensors have suffered from a trade-off between a high spectral resolution and a wide working bandwidth, which limits designs using currenet configurations. All-dielectric FP cavities with alternating high- and low-index multilayer films can obtain an extremely narrow passband corresponding to a high spectral resolution due to their high reflectance by a Bragg reflection mirror. However, they fail to work over a wide bandwidth range due to their limited stop-bandwidth, especially in the visible region, as well as their fast dispersion of reflection phase in the Bragg-mirror stopband. By contrast, metal-based FP cavities have a very wide stopband, along with weaker reflection-phase dispersion, but they are also very lossy at optical frequencies, which decreases the spectral resolution and transmittance of the passband.

Recently, reconstruction algorithms [3538] have been introduced in computational spectral imaging by using back-end computation to overcome the deficiencies in device performance. In this way, compressive sensing or machine-learning techniques provide a promising method to improve the spectral resolution, as the FP-cavities arrays usually have a low spectral correlation. However, additional computing time and power consumption are necessary during reconstruction, resulting in non-real-time spectral imaging. Reconstruction may also fail even with low-level noise. Extra efforts to handle noise will increase the computing time and may induce undesired artifacts if they are not properly employed.

Complex, high-cost fabrication methods are another limitation on the number of spectral channels. Conventionally, FP-based CFAs with different cavity lengths require separate lithography processes assisted with combinatorial deposition/etching method. Typically, running N times of processes can achieve 2N integrated filter arrays [39,40], which is cumbersome, expensive, and inflexible. A potential solution has been proposed to utilize one-step grayscale lithography to flexibly control and customize the cavity length, which is a cost-effective, versatile, and wafer-scale framework. In the visible range, the unit size of a CMOS pixel is typically on the order of (or less than) one micrometer, which requires high-precision electron-beam lithography (EBL) fabrication. Therefore, the issue of on-chip spectral imaging with excellent spectral resolution and multi-channel in a wide spectral bandwidth remains a great challenge from the perspective of CFAs.

In this work, we propose a novel configuration of FP-based CFAs consisting of multilayer metal-dielectric-mirror FP microcavities, which enables snapshot spectral imaging with a favorable spectral resolution of ∼10 nm over an extended visible band from 450 nm to 750 nm. An appropriate FP-microcavities array, composed of the multilayer mirrors (silver Ag/silicon dioxide SiO2/titanium dioxide TiO2) and a PMMA resist spacer layer, was designed. The exact operation that we can realize depends on – By adding another two dielectric layers on the metallic film, the broadband reflectance of the metal mirror was greatly enhanced along with an expected as-flat-as-possible reflection-phase dispersion. Moreover, we performed a fast and CMOS-compatible manufacturing process by using grayscale EBL lithography for multi-channel integration. The experimental results showed that the prepared 16-channel CFAs approached hyperspectral resolution (∼15 nm) over the whole bandwidth and easily supported snapshot spectral imaging, with high optical performance and identification capabilities.

2. Theoretical design and assessment

Snapshot spectral imagers acquire a complete dataset in one detector integration period over a sensor. Integrated CFAs are integrated into the photodetector and then a CMOS imaging sensor is converted into a compact spectral sensor, as shown in Fig. 1(a). Each filter should be aligned with one pixel so that wavelength-specific information is resolved. FP optical cavities with a spacer layer sandwiched between two mirrors are classic compact color filters. Incident light passes through two reflectance mirrors and then emits after interference. If the reflectance of the mirrors is sufficiently high, high spectral resolution can be obtained. The central wavelength of the transmission band in FP cavity can be described by the following equation:

$${\lambda _c} = \frac{{2nd}}{{m + \frac{{{\varphi _1} + {\varphi _2}}}{{2\pi }}}}$$
where n and d are the refractive index and physical thickness of the spacer layer, respectively, m is the order of transmission, and $\varphi $ is the reflection phase (RP) of two mirrors which can be approximatively considered as equality. It can be seen that, for the specific cavity length $nd$, we can have the zero-order transmission ($m$=0) at ${\lambda _1}$ that is defined by ${\lambda _1}({{\varphi_{{\lambda_1}}}/\pi } )= 2nd$ and the first-order transmission ($m$=1) at ${\lambda _2}$ defined by ${\lambda _2}({1 + {\varphi_{{\lambda_2}}}/\pi } )= 2nd$. We can see that the final attainable spectral coverage area $\mathrm{\Delta }\lambda = {\lambda _1} - {\lambda _2}$ is deterministically dependent on the mirror phase dispersion $\mathrm{\Delta }\varphi = {\varphi _{{\lambda _1}}} - {\varphi _{{\lambda _2}}}$, that is, $\Delta \lambda $ and $\Delta \varphi $ are actually inversely proportional. Therefore, the designed mirror films need to reduce $\Delta \varphi $ as much as possible, thus increasing $\mathrm{\Delta }\lambda $ to cover a wider bandwidth. The spectral resolution, i.e., full width at half maxima (FWHM) can be described as follows:
$$\frac{{2\Delta \lambda }}{{{\lambda _c}}} = \frac{2}{{m + \frac{{{\varphi _1} + {\varphi _2}}}{{2\pi }}}}si{n^{ - 1}}\left( {\frac{{1 - R}}{{2\sqrt R }}} \right)$$

 figure: Fig. 1.

Fig. 1. Compact CFAs schematic, sensor operating principle and simulation results. (a) CFAs schematic. CFAs were integrated into a CMOS sensor. (b) All-FP cavity filters were fabricated on a compound material mirror with Ag, SO2, and TiO2 and each spacer layer of PMMA with a different thickness corresponds to one spectral channel. (c) Sensor operating principle. The spectral sensor consisted of an array of CFAs atop a CMOS image sensor. The transmission spectra of the CFAs differed significantly from each other. When broadband incident light passed through the CMOS, different transmittance wavelengths were utilized to analyze the unknown object.

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We can see that, when the interference level is determined, the FWHM of the FP filter depends on the reflectivity R of the mirrors. The higher the reflectivity, the smaller the FWHM, and the higher the monochromaticity and spectral resolution of the transmitted light.

The transfer matrix method was utilized to simulate and verify the calculated ${\lambda _0}$ and ${\varphi _\lambda }$ values. We compared the performance of all-dielectric films with SiO2 and TiO2 multilayers and metallic films with Ag reflectance mirrors over the extended range of 450 nm - 750 nm. The simulation curves are shown in Fig. 2(a-b). Although all-dielectric films have an extremely high spectral resolution (∼5 nm), they have a smoother gradient trend in the RP curve, meaning a wider reflectance broadband. This conclusion can also be verified by the reflectance broadband of the two type of mirrors. However, the slightly lower reflectance than all-dielectric films’ because of losses led to a wide FWHM. Therefore, due to the respective limitations of metallic and all-dielectric films, we proposed metal-dielectric compound material multilayer films shown in Fig. 2(c). The novel mirror improved the reflectivity, but it also needs to ensure phase dispersion. The new reflectance R of compound material films (CMFs) can be described by the equation:

$$R = \frac{{{{\left[ {1 - {{\left( {\frac{{{n_1}}}{{{n_2}}}} \right)}^2} \cdot}n \right]}^2} + {{\left( {\frac{{{n_1}}}{{{n_2}}}} \right)}^4}\cdot{k^2}}}{{{{\left[ {1 + {{\left( {\frac{{{n_1}}}{{{n_2}}}} \right)}^2} \cdot}n \right]}^2} + {{\left( {\frac{{{n_1}}}{{{n_2}}}} \right)}^2}\cdot{k^2}}}$$
where ${n_1}$ is the refractive index of the dielectric layer far away from the metal film, while ${n_2}$ is the refractive index of the dielectric closed to the metal film. k is the extinction coefficient of metal film which is the imaginary port of optical index. If ${n_2} < {n_1}$, the reflectance of the metal film will increase due to the presence of the two dielectric films with alternating high and low refractive indexes, providing a method to design wide-broadband CFAs. More dielectric films can be added to increase the reflectivity of the metal film, but this will change the phase dispersion of the mirrors and reduce the reflection bandwidth. Therefore, the optimized introduced two-layer dielectric film improved the broadband reflectivity of the metal film while ensuring the RP, i.e., the reflection bandwidth (the reflectivity and RP curves of compound material mirrors with more dielectric films are given in Supplement 1). For the extended visible band (450–750 nm), we chose Ag as the metal layer and SO2 and TiO2 as the two dielectric thin films. The optimized thicknesses of the three layers were 40 nm, 69.57 nm and 44.36 nm, respectively. The simulation results of RP, reflectance and spectral channel are shown in the red curve in Fig. 2(c). CMFs had a higher reflectance than metallic films, and as a result, the spectral resolution or FWHM was twice as high as the metallic film CFAs. Therefore, after analyzing the equation for enhancing reflectance and comparing the simulation results, the compound material CFAs showed greater comprehensive optical performance for broadband spectral imaging.

 figure: Fig. 2.

Fig. 2. Comparison of simulation results between RP, reflectivity, and spectral resolution over an extend spectral range of 450–750 nm. (a) Simulation results of all-dielectric filter. (b) Simulation results of metallic filter. (c) Simulation results of compound material filter.

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3. Fabrication process and results of compound material CFAs

Considering the accuracy of the pixel-level filter size, height control during grayscale exposure, etc., the compound material CFAs were fabricated using one-step 3D profile grayscale EBL technology assisted with electron-beam evaporation (EBE) on fused-silica substrates. After cleaning the substrates in acetone followed by iso-propyl alcohol (IPA), the Ag, SiO2, and TiO2 layers were deposited by EBE. Then, a 250-nm-thick PMMA e-beam photoresist (MW: 950 K) was spin-coated and baked on a hotplate, followed by a conductive resist atop the PMMA photoresist. An array of 6.9 µm (x-y dimensions) square pixels was assigned increasing doses so that each channel had a different final thickness with a constant development time. As shown in Fig. 3(a), each dose-modulated of spectral channel was determined based on the contrast curve, and the resultant transmission mode for each channel spectrally red-shifted from 450 nm to 750 nm. The power of the electron beam is 100 kV, the aperture size is 300 µm and the optimized exposure doses is 50-148 µC/cm2. After e-beam exposure, PMMA photoresist was developed in the mixed solution of deionized water and IPA and we obtained spacer layers with different thickness. The thicknesses of PMMA for color filter ranges from 30 nm to 220 nm. Finally, symmetrical high-reflectance mirrors were deposited on the PMMA dielectric spacer layers with different thicknesses.

 figure: Fig. 3.

Fig. 3. Schematic diagram of the grayscale lithography process, color filter images, and spectral measurement results. (a) Schematic diagram of the grayscale lithography process. (i) Different doses correspond to different spacer thicknesses. (ii) Relationship between exposure dose and remaining thickness (contrast curve). (iii) Compound material films on fused silica were the bottom mirror of the filter. Variant exposure dose modulated exposure left a 3D resist profile after development. (iv) After depositing the symmetrical high-reflectance mirrors, filters with spacer layers with different thicknesses were obtained. (v) The final spectral transmittance of compound material CFAs. (vi) The corresponding colors of the designed micro cavities. (b) Optical micrograph of 16-channel CFAs in transmission mode with a scale bar of 100 µm. (c) The respective transmission spectra of the 16-channel wavelength bands.

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Figure 3(b) shows the halogen-lamp microscope images of the 16 channels with different thickness spacer layers, with a photograph of the compound material CFAs in the upper-left. The 16 channels (6.9 µm each pixel) were arranged as a 4 × 4 matrix, and the scale bar was 100 µm. Color changes between different spectral channels were observed. Then, the optical performance of 16 channels filter elements ranging from 450 nm to 750 nm was measured by a universal measurement spectrophotometer (UMS, Agilent, CARY-5000). Figure 3(c) shows the normalized transmission spectra and narrow bandwidths (∼10–15 nm), of which the absolute optical efficiency was almost 48%.

4. Imaging experiment of the 16-channel spectral system

Due to the difficulty of buying custom CMOS, commercially-available CMOS have protective layers on the surface that cannot be applied for EBL overlay exposure, making on-chip integration experiments difficult. Therefore, we characterized the compound material CFAs by the alternating optical system depicted in Fig. 4(a-b). First, we used incandescent lamps as the broad illumination source. Instead of placing an image sensor in the CFAs’ image plane, a camera lens (Sony with 1 mm focal length and 1.8 F value) and relay lens (Edmund) were utilized to relay images to the CMOS sensor, i.e., the filter arrays were set on the secondary image plane. All devices were mounted on XY or XYZ axis translation stage, and the accuracy of CFAs on the precision rotation mount was up to 5 arc minutes, which met the alignment requirements of CFAs and image elements. The whole test optical path was equivalent to that of the on-chip integration spectral system.

 figure: Fig. 4.

Fig. 4. Spectral system and imaging photos. (a) Schematic diagram of the spectral system composed of a camera lens, compound material CFAs, relay lens and CMOS sensor. (b) Photo of the spectral system. All devices were mounted on a translation stage. (c) Captured photo of a green leaf. Spectral data were obtained in green and yellow areas. (d) Different spectral responses between green and yellow areas. (e) Normalized image array of 16 channels with different central wavelengths.

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A leaf of a tree was chosen as the captured input object, as shown in Fig. 4(c). The green area represents a healthy part with chlorophyll, while the yellow area represents low chlorophyll parts. Figure 4(d) shows the spectral response curves of the two different parts. For the green parts with sufficient chlorophyll, there were distinct characteristic peaks near 475 nm and 650 nm, which are consistent with the spectral peaks of chlorophyll. For the yellow part, the characteristic peak near 475 nm disappeared, while the characteristic peak near 650 nm was blue-shifted, indicating that leaf aging and other factors were present in this region [41,42]. Finally, Fig. 4(e) shows a 16-channel image array and the center wavelength of each channel increased from top to bottom and left to right over the range of 450–750 nm. Channels in this image were brightness-normalized to correct for uneven illumination and spectral variance in the image sensor’s sensitivity. A false-color image was used to simultaneously visualize the data in the three different channels, which showed subtle differences.

5. Discussion

The measured spectral resolution and efficiency in Fig. 3(c) were slightly lower than the theoretical values because the fabricated TiO2 film had some absorption, which was limited by our deposition process conditions. However, this type of film defect could be improved by using more advanced equipment and more mature CMOS-capable fabrication processes. The non-uniform distribution of the 16 channels in different rows, may be a result of the exposure inhomogeneity and thickness control precision. However, the results show that the 16 spectral channels were in the extended visible bandwidth, and the channels of all integrated filters were ultra-narrow. In fact, the resolution we achieved was close to the high spectral resolution Δλ/λ ∼0.01. If we continue to increase the thickness of the metal layer, we may obtain a higher spectral resolution, but the transmittance will drop further, which will require increasing the integration time to ensure a high signal-to-noise ratio. But even so, our results already show a great improvement in the combined performance of resolution and bandwidth compared with the original metallic and all-dielectric FPs. Although we only showed multispectral results of 16 channels, further hyperspectral performance with more channels could be achieved. the high-precision EBL 3D grayscale process has great potential to provide more spectral channels. In industrial production, grayscale masks with multi channels filters for stepper lithography can also be fabricated by EBL, thus improving the efficiency and stability of filter production.

6. Conclusion

Here, we have proposed a design concept for obtaining FP color filters with a high spectral resolution for wide broadband applications via a simplified low-cost fabrication process. We determined the key parameters limiting the broadband and spectral resolution. We designed FP color filters with metal-dielectric mirrors with great optical performance over a wide broadband range. By introducing another two dielectric layers on the metallic film, the broadband reflectance of the FP-cavity mirror was greatly enhanced, along with an expected as-flat-as-possible reflection-phase dispersion, resulting in balanced spectral resolution (∼10 nm) and spectral bandwidth with a range of 450–750 nm. The 16-channel (4 × 4) CFAs fabricated by one-step grayscale EBL successfully measured the spectral wavelengths and took photos of green leaves with a narrow band (∼15 nm) over an extended visible band (450–750 nm). Although the design concept of metal-dielectric FP filters presented in this work is for the extended visible band, it can be further used for other wide broadband regions. One-step grayscale lithography is a low-cost fabrication process and can be adapted to high-volume ultraviolet mask-based photolithography. Therefore, our device provides a comprehensive concept for snapshot spectral imaging with great optical performance over a wide broadband range. It also provides a low-cost, compact, and portable solution for many applications, from diagnostic medical imaging to remote sensing.

Funding

Fundamental Research Funds for the Central Universities (2021SHZDZX0100); Shanghai Pujiang Program (20PJ1414200); China Postdoctoral Science Foundation (2020TQ0227, 2021M702471); Shanghai Municipal Education Commission (17SG22); Science and Technology Commission of Shanghai Municipality (17JC1400800, 20JC1414600, 21JC1406100); National Natural Science Foundation of China (61621001, 61925504, 6201101335, 62020106009, 62105243, 62111530053, 62192770, 62192772, 62205248).

Disclosures

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

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Supplemental document

See Supplement 1 for supporting content.

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Supplementary Material (1)

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Supplement 1       Supplemental document 1

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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Figures (4)

Fig. 1.
Fig. 1. Compact CFAs schematic, sensor operating principle and simulation results. (a) CFAs schematic. CFAs were integrated into a CMOS sensor. (b) All-FP cavity filters were fabricated on a compound material mirror with Ag, SO2, and TiO2 and each spacer layer of PMMA with a different thickness corresponds to one spectral channel. (c) Sensor operating principle. The spectral sensor consisted of an array of CFAs atop a CMOS image sensor. The transmission spectra of the CFAs differed significantly from each other. When broadband incident light passed through the CMOS, different transmittance wavelengths were utilized to analyze the unknown object.
Fig. 2.
Fig. 2. Comparison of simulation results between RP, reflectivity, and spectral resolution over an extend spectral range of 450–750 nm. (a) Simulation results of all-dielectric filter. (b) Simulation results of metallic filter. (c) Simulation results of compound material filter.
Fig. 3.
Fig. 3. Schematic diagram of the grayscale lithography process, color filter images, and spectral measurement results. (a) Schematic diagram of the grayscale lithography process. (i) Different doses correspond to different spacer thicknesses. (ii) Relationship between exposure dose and remaining thickness (contrast curve). (iii) Compound material films on fused silica were the bottom mirror of the filter. Variant exposure dose modulated exposure left a 3D resist profile after development. (iv) After depositing the symmetrical high-reflectance mirrors, filters with spacer layers with different thicknesses were obtained. (v) The final spectral transmittance of compound material CFAs. (vi) The corresponding colors of the designed micro cavities. (b) Optical micrograph of 16-channel CFAs in transmission mode with a scale bar of 100 µm. (c) The respective transmission spectra of the 16-channel wavelength bands.
Fig. 4.
Fig. 4. Spectral system and imaging photos. (a) Schematic diagram of the spectral system composed of a camera lens, compound material CFAs, relay lens and CMOS sensor. (b) Photo of the spectral system. All devices were mounted on a translation stage. (c) Captured photo of a green leaf. Spectral data were obtained in green and yellow areas. (d) Different spectral responses between green and yellow areas. (e) Normalized image array of 16 channels with different central wavelengths.

Equations (3)

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λ c = 2 n d m + φ 1 + φ 2 2 π
2 Δ λ λ c = 2 m + φ 1 + φ 2 2 π s i n 1 ( 1 R 2 R )
R = [ 1 ( n 1 n 2 ) 2 n ] 2 + ( n 1 n 2 ) 4 k 2 [ 1 + ( n 1 n 2 ) 2 n ] 2 + ( n 1 n 2 ) 2 k 2
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