Deep‐Learned Broadband Encoding Stochastic Filters for Computational Spectroscopic Instruments

Song, Hongya; Ma, Yaoguang; Han, Yubing; Shen, Weidong; Zhang, Wenyi; Li, Yanghui; Liu, Xu; Peng, Yifan; Hao, Xiang

doi:10.1002/adts.202000299

Cited by 36 publications

(23 citation statements)

References 35 publications

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“…For the passive mode, the spectrum reflected by the sample is encoded by the filters; thus, the device detects the spectral radiance of the reflected light . These filters were designed considering the parameter constrained spectral encoder and decoder (PCSED) method 24 and fabricated by an electronic beam evaporator. In particular, as an extension of DNN for designing random spectral filters, PCSED focuses on obtaining the optimal spectral responsivity for each random spectral filter in the group, while ensuring their producibility.…”

Section: Resultsmentioning

confidence: 99%

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Deeply learned broadband encoding stochastic hyperspectral imaging

Zhang

Song

et al. 2021

Light Sci Appl

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Many applications requiring both spectral and spatial information at high resolution benefit from spectral imaging. Although different technical methods have been developed and commercially available, computational spectral cameras represent a compact, lightweight, and inexpensive solution. However, the tradeoff between spatial and spectral resolutions, dominated by the limited data volume and environmental noise, limits the potential of these cameras. In this study, we developed a deeply learned broadband encoding stochastic hyperspectral camera. In particular, using advanced artificial intelligence in filter design and spectrum reconstruction, we achieved 7000–11,000 times faster signal processing and ~10 times improvement regarding noise tolerance. These improvements enabled us to precisely and dynamically reconstruct the spectra of the entire field of view, previously unreachable with compact computational spectral cameras.

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Section: Resultsmentioning

confidence: 99%

“…These methods work to some extent; however, none of them comprehensively considered both procedures. As such, their results are compromised either by the producibility of the designed spectral responses or by the sensitivity to the fabrication error 24 .…”

Section: Introductionmentioning

confidence: 99%

Deeply learned broadband encoding stochastic hyperspectral imaging

Zhang

Song

et al. 2021

Light Sci Appl

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“…In addition to taking 3D images, they can also be used to characterize biological structures with full Stokes images [ 46 ]. Various other metasurface-based polarizers have been described, but few of them can operate at visible wavelengths, even after reductions in their period or size [ 8 , 24 , 43 , 47 , 48 , 49 , 50 , 51 , 52 , 53 ].…”

Section: Introductionmentioning

confidence: 99%

“…Plasmonic nanostructures were previously introduced as promising candidates for light filtering applications [ 16 , 18 , 19 , 20 , 21 , 22 , 23 , 25 , 26 , 27 , 28 , 29 , 30 , 51 , 54 ]. Plasmonic behavior emerges in two basic situations [ 55 ].…”

Section: Introductionmentioning

confidence: 99%

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Dichroic Circular Polarizers Based on Plasmonics for Polarization Imaging Applications

Zheng

Beckett

et al. 2021

Nanomaterials

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Dichroic circular polarizers (DCP) represent an important group of optical filters that transfer only that part of the incident light with the desired polarization state and absorb the remainder. However, DCPs are usually bulky and exhibit significant optical loss. Moreover, the integration of these kinds of DCP devices can be difficult and costly as different compositions of chemicals are needed to achieve the desired polarization status. Circular polarizers based on metasurfaces require only thin films in the order of hundreds of nanometers but are limited by their sensitivity to angle of incidence. Furthermore, few existing solutions offer broadband operation in the visible range. By using computational simulations, this paper proposes and analyses a plasmonic DCP structure operating in the visible, from 400 nm to 700 nm which overcomes these drawbacks. The resulting circular dichroism transmission (CDT) is more than 0.9, and the maximum transmission efficiency is greater than 78% at visible wavelengths. These CDT characteristics are largely independent of angle of incidence up to angles of 80 degrees.

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Short‐Wave Infrared Chip‐Spectrometer by Using Laser Direct‐Writing Grayscale Lithography

Xuan

Wang

Liu

et al. 2022

Advanced Optical Materials

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Short-wave infrared (SWIR) spectrometer has been a critical device in spectral analysis fields like agriculture, [1,2] environmental monitoring, [3] astronomy, [4,5] etc. Conventionally, the infrared spectrometer is bulky and delicate due to the spectral division device, such as grating and prism, which limited its applications. The demand and potential for compact spectrometers are enormous for portable and on-chip applications like smartphone spectrometer, [6,7] hyperspectral imaging, [8][9][10] etc. The key to miniaturizing spectrometers is replacing the bulky spectral split devices with miniature photonic devices. [11] Besides, combing with reconstruction algorithms such as compressed sensing and machine learning, the incident light spectrum can be reconstructed with a few numbers of filters. [8,[12][13][14] In recent years, such reconstructive micospectrometer based on Si-based complementary metal-oxide-semiconductor (CMOS) sensors in visible range are primarily investigated. In comparison, the microspectrometer in SWIR range is much more useful to acquire object information in practical applications. Strategies based on photonic devices slab, [9,10,[15][16][17][18][19] quantum dot (QD) slab, [20][21][22] nanowire, [23,24] have been proposed for portable and on-chip microspectrometer. The number and variety of filter spectra determined the resolution of reconstructive microspectrometer. Micro-nano photonic device filters like photonic crystal (PC), metamaterial, Fabry-Perot (FP) cavities can acquire distinctive spectra by varying structure morphology parameters. Material-based filters like QD slab can acquire different spectra by adjusting their size, composition, or bias. Those filters mentioned above are usually fabricated onto a separated slab and then pasted or bonded with a detector chip. In practical applications, the separated slab is fragile and difficult to well-matching with detector pixels, leading to spectral crosstalk and other problems. Recently proposed detector-only reconstructive microspectrometer based on nanowires, [23,24] black phosphorus [25] is ultra-compact without external filters. It has a stable structure with wavelength scale size, but the number of response spectra is hard to increase significantly and limits its resolution.Among these micro-nano filters, FP microcavities array has low spectral correlation coefficient by varying its cavity length, Short-wave infrared (SWIR) information is critical for material analysis, imaging sensing, and other fields. To acquire SWIR spectrum with compact devices, strategies for reconstructive microspectrometer have emerged, such as photonic crystal and quantum dot filter. However, the current SWIR microspectrometer needs many filters with insufficient resolution. In this work, the authors develop a SWIR chip-spectrometer based on Fabry-Perot microcavities array which can be fabricated by using fast and low-cost UV laser directwriting grayscale lithography. The ultra-compact chip-spectrometer can work in a very wide range from 900 to 1700 nm wi...

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Deep‐Learned Broadband Encoding Stochastic Filters for Computational Spectroscopic Instruments

Cited by 36 publications

References 35 publications

Deeply learned broadband encoding stochastic hyperspectral imaging

Deeply learned broadband encoding stochastic hyperspectral imaging

Dichroic Circular Polarizers Based on Plasmonics for Polarization Imaging Applications

Short‐Wave Infrared Chip‐Spectrometer by Using Laser Direct‐Writing Grayscale Lithography

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