Broadband Metasurface Absorber Based on an Optimal Combination of Copper Tiles and Chip Resistors

Kim, Yongjune; Lee, Jeong-Hae

doi:10.3390/ma16072692

Cited by 19 publications

(8 citation statements)

References 40 publications

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“…As a result, we can now effectively manage electromagnetic wave properties, including intensity, phase, and polarization, at both subwavelength and wavelength levels [32][33][34]. Metasurfaces have been successfully employed for various exotic applications, including structured beam generation [35][36][37], meta-holography [38][39][40][41], biomedical imaging [42][43][44], lensing system structured beam generation [45][46][47], perfect vortex beams [48][49][50], intelligent and multi-function surfaces [51][52][53], and efficient energy harvesting [54][55][56][57]. Metasurfaces have the potential to revolutionize optical microscopy techniques, particularly blood cancer diagnosis.…”

Section: Resultsmentioning

confidence: 99%

Improving blood cancer diagnosis through morphological insights using quantitative phase imaging

Khalid,

Javed,

Cabrera

et al. 2024

Optics, Photonics, and Digital Technologies for Imaging Applications VIII

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Blood cancer remains a major global health challenge, emphasizing the critical need of early diagnosis, for effective treatment and improved patient outcomes. Recently, quantitative phase imaging (QPI) based study of cancerous cell morphology, viability and proliferation, attracts the attention of the pathologist and researchers. In this research article, we have introduced customized QPI based imaging tool for investigation of malignant blood cells for the early detection of cancer. The proposed tool enables the measurement of optical path length variations which gives the provision of labelfree, high-resolution imaging of blood cells, allowing for the precise quantification of cellular parameters such as volume, thickness, and dry mass. The proposed low-cost configuration referred as self-referencing QPI system, makes use of the laser beam for generation of the interferograms. Moreover, this technique has the advantage of numerical focusing, and it is not necessary to place the imaging device at the image plane of the magnifying lens. Therefore, efficient autofocusing feature is designed that ensures the efficacious detection, omitting human error and declining the time-consumption. Moreover, the precision of early cancer diagnosis is enhanced through the integration of convolutional neural network (CNN) and QPI technique, which reduces the likelihood of inaccurate imaging. The non-invasive nature of proposed imaging system minimizes patient discomfort and enables real-time monitoring of disease progression. The methodology demonstrates promising results in the early detection of blood cancer and impassive the need of stained sample preparation. This research contributes to the advancement of personalized medicine and underscores the importance of leveraging quantitative phase imaging for early intervention and improved management of blood cancer.

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Section: Resultsmentioning

confidence: 99%

Improving blood cancer diagnosis through morphological insights using quantitative phase imaging

Khalid,

Javed,

Cabrera

et al. 2024

Optics, Photonics, and Digital Technologies for Imaging Applications VIII

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“…They can even manipulate these properties at subwavelength and wavelength scales. This makes metasurfaces an exciting technology with potential applications in a variety of fields, including optics and photonics [30][31][32] like perfect vortex beams [33,34], flat lenses [35,36], meta-holography [40][41][42], biomedical imaging [43][44][45], efficient energy harvesting [46][47][48][49], and structured beam generation [37][38][39]. Recent research has made significant progress in the development of broadband aberration-corrected optical metasurface devices.…”

Section: Resultsmentioning

confidence: 99%

Aberration-corrected lens design in the ultraviolet-visible regime

Shafqat,

Cabrera,

Mahmood

2024

Optical Design and Engineering IX

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The inherent dispersion of the glass utilized in lens construction necessitates applying various techniques to eliminate aberrations. Prior research has traditionally concentrated on single-spectrum applications, targeting either the visible or infrared region. In this study, we designed and conducted numerical simulations of an achromatic lens designed for the UV-visible spectrum, employing unconventional materials such as silicon nitride (Si3N4) and aluminum oxide (Al2O3). The Si3N4 serves as the equivalent of Flint glass, offering a high refractive index and a relatively lower Abbe number. Its transparent window extends from the deep ultraviolet (UV) range and covers the entire visible spectrum. Conversely, Al2O3 is well-suited for use as crown glass, given its lower refractive index than Si3N4 and a higher Abbe number, and Al2O3 remains transparent from the UV region till the mid-infrared region. Combining these two materials should yield an achromatic lens with eliminated chromatic aberrations. Therefore, lens design started with the achromat equations, and further optimizations were done using Opticstudio Zemax, a ray tracing software. The Seidel diagram and focal variation graph offered realistic validation of our study's complete reduction of aberrations, and good focusing efficiency was achieved. The operational wavelengths in our study encompass a range from 360 nm to 633 nm, encompassing both the ultraviolet and visible spectra. Our work may apply to futuristic broadband imaging systems, collimators, and spectrometers.

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“…This has opened up new avenues for researchers and scientists to explore and has the potential to lead to significant advancements in optics and related fields [31][32][33]. These structures have been used for a various exciting applications such as absorber metasurfaces [44][45][46], biomedical imaging [36][37][38], intelligent and multi-function surfaces [39,40], structured beam generation [34,35], and solar-thermophotovoltaic system [41][42][43]. With optimal light absorption and charge generation capabilities under indoor light spectra, interlayer optimization, engineering efficient layers for charge transport and minimizing energy losses within the device are a key to success in OPV designs.…”

Section: Introductionmentioning

confidence: 99%

Smart indoor organic photovoltaic cells for controlling health monitoring sensors: harnessing sustainable energy solutions for efficient sensing systems

Zakai,

Ijaz,

Mahmood

et al. 2024

Optical Sensing and Detection VIII

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Indoor organic photovoltaic (OPV) cells present a promising technology to fuel smart applications due to their thin, lightweight, and flexible nature, rendering them ideal for wearable and implantable devices. Moreover, they can be manufactured through cost-effective and accessible methods, making them an appealing choice for large-scale production. OPV have the potential to revolutionize the realm of medical applications by providing a dependable and sustainable power source for wearable devices. Using OPVs in indoor settings offers the potential to capture clean energy from easily accessible for indoor light sources, to power self-sufficient devices, improve the visual appeal of designs, support sustainability initiatives, and lower the energy expenses. These indoor organic cells are capable of achieving remarkably high power conversion efficiencies (PCEs), which are fairly comparable with the typical efficiencies of commercial single junction indoor silicon photovoltaic cells, which usually hover around 26%. Notably, indoor OPV cells are seamlessly integrated into wearable devices, to ensure patient comfort and safety. The use of organic materials in the active layer have made the realization of highly efficient, flexible, lightweight, biocompatible, and durable devices possible. In this work, we have used PBDB-TCl:AITC:BTP-eC9 as an active layer to produce a high efficiency for indoor OPV as well as to control and optimize the operating voltage of 1865 series sensors in order to power the smart IoT health monitoring sensors. The OPV cells embedded with smart sensor devices help in monitoring the human (patient) vitals such as blood-pressure, body temperature and other parameters. It is found that the layer of polymers PBDB-TCl : AITC : BTP-eC9 in the device provides an open-circuit voltage of 0.87V, fill factor of 79.4% and a power conversion efficiency of 19.1% under low light intensity. Inspiringly, an output efficiency of more than 26% under 1000lx has been realized.

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Broadband Metasurface Absorber Based on an Optimal Combination of Copper Tiles and Chip Resistors

Cited by 19 publications

References 40 publications

Improving blood cancer diagnosis through morphological insights using quantitative phase imaging

Improving blood cancer diagnosis through morphological insights using quantitative phase imaging

Aberration-corrected lens design in the ultraviolet-visible regime

Smart indoor organic photovoltaic cells for controlling health monitoring sensors: harnessing sustainable energy solutions for efficient sensing systems

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