{"title":"利用半球形光子捕获结构提高CMOS图像传感器的近红外灵敏度","authors":"Mustafa Ozber Yucekul, Mahmud Yusuf Tanrikulu","doi":"10.1007/s10825-025-02372-9","DOIUrl":null,"url":null,"abstract":"<div><p>CMOS image sensors are extensively utilized in applications ranging from consumer electronics to biomedical imaging and autonomous systems. Despite their high efficiency in the visible spectrum, their sensitivity in the near-infrared (NIR) region remains significantly low due to the limited absorption of silicon beyond 700 nm. To address this challenge, we propose a novel light-trapping strategy incorporating a hemispherical structure at the silicon interface. This design facilitates the direct transmission of normally incident light into the silicon layer while enhancing light scattering and redistribution. Additionally, a pyramidal structure positioned below the silicon layer refracts transmitted light, further improving absorption. To minimize optical crosstalk between adjacent pixels, a deep trench isolation (DTI) structure is implemented. The optical performance of the proposed structure is evaluated through finite-difference time-domain (FDTD) simulations, demonstrating up to a 36% enhancement in optical efficiency at a wavelength of 1100 nm compared to conventional BSI CMOS image sensor designs. These findings highlight the potential of hemispherical photon-trapping strategies for enhancing CMOS image sensor performance in NIR applications such as machine vision and biomedical imaging.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"24 4","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing near-infrared sensitivity of CMOS image sensors using a hemispherical photon-trapping structure\",\"authors\":\"Mustafa Ozber Yucekul, Mahmud Yusuf Tanrikulu\",\"doi\":\"10.1007/s10825-025-02372-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>CMOS image sensors are extensively utilized in applications ranging from consumer electronics to biomedical imaging and autonomous systems. Despite their high efficiency in the visible spectrum, their sensitivity in the near-infrared (NIR) region remains significantly low due to the limited absorption of silicon beyond 700 nm. To address this challenge, we propose a novel light-trapping strategy incorporating a hemispherical structure at the silicon interface. This design facilitates the direct transmission of normally incident light into the silicon layer while enhancing light scattering and redistribution. Additionally, a pyramidal structure positioned below the silicon layer refracts transmitted light, further improving absorption. To minimize optical crosstalk between adjacent pixels, a deep trench isolation (DTI) structure is implemented. The optical performance of the proposed structure is evaluated through finite-difference time-domain (FDTD) simulations, demonstrating up to a 36% enhancement in optical efficiency at a wavelength of 1100 nm compared to conventional BSI CMOS image sensor designs. These findings highlight the potential of hemispherical photon-trapping strategies for enhancing CMOS image sensor performance in NIR applications such as machine vision and biomedical imaging.</p></div>\",\"PeriodicalId\":620,\"journal\":{\"name\":\"Journal of Computational Electronics\",\"volume\":\"24 4\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational Electronics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10825-025-02372-9\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-025-02372-9","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Enhancing near-infrared sensitivity of CMOS image sensors using a hemispherical photon-trapping structure
CMOS image sensors are extensively utilized in applications ranging from consumer electronics to biomedical imaging and autonomous systems. Despite their high efficiency in the visible spectrum, their sensitivity in the near-infrared (NIR) region remains significantly low due to the limited absorption of silicon beyond 700 nm. To address this challenge, we propose a novel light-trapping strategy incorporating a hemispherical structure at the silicon interface. This design facilitates the direct transmission of normally incident light into the silicon layer while enhancing light scattering and redistribution. Additionally, a pyramidal structure positioned below the silicon layer refracts transmitted light, further improving absorption. To minimize optical crosstalk between adjacent pixels, a deep trench isolation (DTI) structure is implemented. The optical performance of the proposed structure is evaluated through finite-difference time-domain (FDTD) simulations, demonstrating up to a 36% enhancement in optical efficiency at a wavelength of 1100 nm compared to conventional BSI CMOS image sensor designs. These findings highlight the potential of hemispherical photon-trapping strategies for enhancing CMOS image sensor performance in NIR applications such as machine vision and biomedical imaging.
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.