Smart nanophotonics silicon spectrometer array for hyperspectral imaging

Ahamad, Ahasan; Ghandiparsi, Soroush; Bartolo-Perez, Cesar; Mayet, Ahmed S.; Cansizoglu, Hilal; Devine, Ekaterina Ponizovskaya; Elrefaie, Aly F.; Dhar, Nibir K.; Wang, Shih-Yuan; Yang, Wankou; Islam, M. Saif

doi:10.1364/cleo_si.2020.sth3m.2

Cited by 9 publications

(9 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The inset of Figure a shows a microscopic image of the devices with varying PTMH diameter and periodicity, selectively reflecting certain wavelengths from the microscopic white light. This preferential reflection of certain wavelengths from the devices has the potential to devise an on-chip spectrometer Figure b shows an enlarged 500 μm size device with PTMH, a 150× magnified microscopic image, and the inset showing a scanning electron microscopic (SEM) image of the PTMH array.…”

Section: Resultsmentioning

confidence: 99%

Design and Fabrication of High-Efficiency, Low-Power, and Low-Leakage Si-Avalanche Photodiodes for Low-Light Sensing

et al. 2023

Self Cite

View full text Add to dashboard Cite

Since the advent of impact ionization and its application in avalanche photodiodes (APD), numerous application goals have contributed to steady improvements over several decades. The characteristic high operating voltages and the need for thick absorber layers (π-layers) in the Si-APDs pose complicated design and operational challenges in complementary metal oxide semiconductor integration of APDs. In this work, we have designed a sub-10 V operable Si-APD and epitaxially grown the stack on a semiconductor-on-insulator substrate with a submicron thin π-layer, and we fabricated the devices with integrated photon-trapping microholes (PTMH) to enhance photon absorption. The fabricated APDs show a substantially low prebreakdown leakage current density of ∼50 nA/mm 2 . The devices exhibit a consistent ∼8.0 V breakdown voltage with a multiplication gain of 296.2 under 850 nm illumination wavelength. We report a ∼5× increase in the EQE at 850 nm by introducing the PTMH into the device. The enhancement in the EQE is evenly distributed across the entire wavelength range (640−1100 nm). The EQE of the devices without PTMH (flat devices) undergo a notable oscillation caused by the resonance at specific wavelengths and show a strong dependency on the angle of incidence. This characteristic dependency is significantly circumvented by introducing the PTMH into the APD. The devices exhibit a significantly low off-state power consumption of 0.41 μW/mm 2 and stand fairly well against the state-of-the-art literature. Such high efficiency, low leakage, low breakdown voltage, and extremely low-power Si-APD can be easily incorporated into the existing CMOS foundry line and enable on-chip, high-speed, and low-photon count detection on a large scale.

show abstract

Section: Resultsmentioning

confidence: 99%

Design and Fabrication of High-Efficiency, Low-Power, and Low-Leakage Si-Avalanche Photodiodes for Low-Light Sensing

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…5G, H). Other designs including liquid crystals (81), etalon arrays (82), nanostructured photodiodes (83,84), metasurfaces ( 85) have also been used as the basis for such strategies. However, all these designs require a separate fabrication of both filter and detector arrays.…”

Section: Spectral Response Engineeringmentioning

confidence: 99%

Miniaturization of optical spectrometers

Yang

Albrow-Owen

Cai

et al. 2021

Science

502

263

View full text Add to dashboard Cite

Spectroscopic analysis is one of the most widely used analytical tools in scientific research and industry. Although laboratory benchtop spectrometer systems offer superlative resolution and spectral range, their miniaturization is crucial for applications where portability is paramount or where in situ measurements must be made. Advancement in this field over the past three decades is now yielding microspectrometers with performance and footprint near those viable for lab-on-a-chip systems, smartphones, and other consumer technologies. We summarize the technologies that have emerged toward achieving these aims—including miniaturized dispersive optics, narrowband filter systems, Fourier transform interferometers, and reconstructive microspectrometers—and discuss the challenges associated with improving spectral resolution while device dimensions shrink ever further.

show abstract

“…For this reconstruction, we use a training dataset to record the response of the photodetectors. We employ a linear approximation method to predict the original spectrum [20]. Similar outcomes can also be obtained by employing a regression model to predict the spectral profile based on the training dataset.…”

Section: Ai-enabled Hyperspectral Imagingmentioning

confidence: 99%

“…Furthermore, nanostructures have unique coupling properties with different wavelengths of light, which enables them to reproducibly fabricate detectors with distinct responsivities [18], [19]. This, combined with AI's power, allows hyperspectral imaging possible on a chip-size, low-cost, deployable fashion [20]- [22]. With further development, these technologies could reduce costs and elevate imaging capabilities across scientific, commercial, and consumer applications [23].…”

Section: Introductionmentioning

confidence: 99%

Advancing multi-dimensional vision: AI-driven imaging using unique photodetectors with integrated surface nanostructures

Ahamed,

Wang,

Rawat

et al. 2023

Low-Dimensional Materials and Devices 2023

View full text Add to dashboard Cite

A compact assembly of photodetectors, enhanced with innovative surface nanostructures, can significantly enhance imaging modalities. This advancement captures multi-dimensional data, including spectral profiles, temporal responses, and spatial resolution. Achieving this breakthrough centers on the meticulous engineering of individual ultrafast detectors, which exhibit diverse responses to identical illumination conditions. A pivotal role is played by the integration of artificial intelligence (AI)-driven computational imaging, which optimizes the obtained multi-dimensional data. This paper demonstrates the benefits of such an imaging method. Specifically, we highlight the potential reductions in the physical scale of current systems, significant enhancements in system sensitivity, and substantial cost reduction. The potential applications include molecular fluorescence signal detection, chem-biological imaging, advanced LiDAR systems, and state-of-the-art focal plane arrays.

show abstract

Smart nanophotonics silicon spectrometer array for hyperspectral imaging

Abstract: We propose a novel spectral imaging technique with silicon photodiodes arrays having unique responsivity across a wide spectrum. Our method can detect random spectra with less than 2% standard deviation.

Cited by 9 publications

References 2 publications

Design and Fabrication of High-Efficiency, Low-Power, and Low-Leakage Si-Avalanche Photodiodes for Low-Light Sensing

Design and Fabrication of High-Efficiency, Low-Power, and Low-Leakage Si-Avalanche Photodiodes for Low-Light Sensing

Miniaturization of optical spectrometers

Advancing multi-dimensional vision: AI-driven imaging using unique photodetectors with integrated surface nanostructures

Contact Info

Product

Resources

About