Microsphere-assisted hyperspectral imaging: super-resolution, non-destructive metrology for semiconductor devices
As semiconductor devices shrink and their manufacturing processes advance, accurately measuring in-cell critical dimensions (CD) becomes increasingly crucial. Traditional test element group (TEG) measurements are becoming inadequate for representing the fine, repetitive patterns in cell blocks. Conv...
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Published in | Light, science & applications Vol. 13; no. 1; pp. 122 - 14 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
28.05.2024
Springer Nature B.V Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 2047-7538 2095-5545 2047-7538 |
DOI | 10.1038/s41377-024-01469-3 |
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Abstract | As semiconductor devices shrink and their manufacturing processes advance, accurately measuring in-cell critical dimensions (CD) becomes increasingly crucial. Traditional test element group (TEG) measurements are becoming inadequate for representing the fine, repetitive patterns in cell blocks. Conventional non-destructive metrology technologies like optical critical dimension (OCD) are limited due to their large spot diameter of approximately 25 μm, which impedes their efficacy for detailed in-cell structural analysis. Consequently, there is a pressing need for small-spot and non-destructive metrology methods. To address this limitation, we demonstrate a microsphere-assisted hyperspectral imaging (MAHSI) system, specifically designed for small spot optical metrology with super-resolution. Utilizing microsphere-assisted super-resolution imaging, this system achieves an optical resolution of 66 nm within a field of view of 5.6 μm × 5.6 μm. This approach effectively breaks the diffraction limit, significantly enhancing the magnification of the system. The MAHSI system incorporating hyperspectral imaging with a wavelength range of 400–790 nm, enables the capture of the reflection spectrum at each camera pixel. The achieved pixel resolution, which is equivalent to the measuring spot size, is 14.4 nm/pixel and the magnification is 450X. The MAHSI system enables measurement of local uniformity in critical areas like corners and edges of DRAM cell blocks, areas previously challenging to inspect with conventional OCD methods. To our knowledge, this approach represents the first global implementation of microsphere-assisted hyperspectral imaging to address the metrology challenges in complex 3D structures of semiconductor devices. |
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AbstractList | Abstract As semiconductor devices shrink and their manufacturing processes advance, accurately measuring in-cell critical dimensions (CD) becomes increasingly crucial. Traditional test element group (TEG) measurements are becoming inadequate for representing the fine, repetitive patterns in cell blocks. Conventional non-destructive metrology technologies like optical critical dimension (OCD) are limited due to their large spot diameter of approximately 25 μm, which impedes their efficacy for detailed in-cell structural analysis. Consequently, there is a pressing need for small-spot and non-destructive metrology methods. To address this limitation, we demonstrate a microsphere-assisted hyperspectral imaging (MAHSI) system, specifically designed for small spot optical metrology with super-resolution. Utilizing microsphere-assisted super-resolution imaging, this system achieves an optical resolution of 66 nm within a field of view of 5.6 μm × 5.6 μm. This approach effectively breaks the diffraction limit, significantly enhancing the magnification of the system. The MAHSI system incorporating hyperspectral imaging with a wavelength range of 400–790 nm, enables the capture of the reflection spectrum at each camera pixel. The achieved pixel resolution, which is equivalent to the measuring spot size, is 14.4 nm/pixel and the magnification is 450X. The MAHSI system enables measurement of local uniformity in critical areas like corners and edges of DRAM cell blocks, areas previously challenging to inspect with conventional OCD methods. To our knowledge, this approach represents the first global implementation of microsphere-assisted hyperspectral imaging to address the metrology challenges in complex 3D structures of semiconductor devices. As semiconductor devices shrink and their manufacturing processes advance, accurately measuring in-cell critical dimensions (CD) becomes increasingly crucial. Traditional test element group (TEG) measurements are becoming inadequate for representing the fine, repetitive patterns in cell blocks. Conventional non-destructive metrology technologies like optical critical dimension (OCD) are limited due to their large spot diameter of approximately 25 μm, which impedes their efficacy for detailed in-cell structural analysis. Consequently, there is a pressing need for small-spot and non-destructive metrology methods. To address this limitation, we demonstrate a microsphere-assisted hyperspectral imaging (MAHSI) system, specifically designed for small spot optical metrology with super-resolution. Utilizing microsphere-assisted super-resolution imaging, this system achieves an optical resolution of 66 nm within a field of view of 5.6 μm × 5.6 μm. This approach effectively breaks the diffraction limit, significantly enhancing the magnification of the system. The MAHSI system incorporating hyperspectral imaging with a wavelength range of 400–790 nm, enables the capture of the reflection spectrum at each camera pixel. The achieved pixel resolution, which is equivalent to the measuring spot size, is 14.4 nm/pixel and the magnification is 450X. The MAHSI system enables measurement of local uniformity in critical areas like corners and edges of DRAM cell blocks, areas previously challenging to inspect with conventional OCD methods. To our knowledge, this approach represents the first global implementation of microsphere-assisted hyperspectral imaging to address the metrology challenges in complex 3D structures of semiconductor devices. As semiconductor devices shrink and their manufacturing processes advance, accurately measuring in-cell critical dimensions (CD) becomes increasingly crucial. Traditional test element group (TEG) measurements are becoming inadequate for representing the fine, repetitive patterns in cell blocks. Conventional non-destructive metrology technologies like optical critical dimension (OCD) are limited due to their large spot diameter of approximately 25 μm, which impedes their efficacy for detailed in-cell structural analysis. Consequently, there is a pressing need for small-spot and non-destructive metrology methods. To address this limitation, we demonstrate a microsphere-assisted hyperspectral imaging (MAHSI) system, specifically designed for small spot optical metrology with super-resolution. Utilizing microsphere-assisted super-resolution imaging, this system achieves an optical resolution of 66 nm within a field of view of 5.6 μm × 5.6 μm. This approach effectively breaks the diffraction limit, significantly enhancing the magnification of the system. The MAHSI system incorporating hyperspectral imaging with a wavelength range of 400-790 nm, enables the capture of the reflection spectrum at each camera pixel. The achieved pixel resolution, which is equivalent to the measuring spot size, is 14.4 nm/pixel and the magnification is 450X. The MAHSI system enables measurement of local uniformity in critical areas like corners and edges of DRAM cell blocks, areas previously challenging to inspect with conventional OCD methods. To our knowledge, this approach represents the first global implementation of microsphere-assisted hyperspectral imaging to address the metrology challenges in complex 3D structures of semiconductor devices.As semiconductor devices shrink and their manufacturing processes advance, accurately measuring in-cell critical dimensions (CD) becomes increasingly crucial. Traditional test element group (TEG) measurements are becoming inadequate for representing the fine, repetitive patterns in cell blocks. Conventional non-destructive metrology technologies like optical critical dimension (OCD) are limited due to their large spot diameter of approximately 25 μm, which impedes their efficacy for detailed in-cell structural analysis. Consequently, there is a pressing need for small-spot and non-destructive metrology methods. To address this limitation, we demonstrate a microsphere-assisted hyperspectral imaging (MAHSI) system, specifically designed for small spot optical metrology with super-resolution. Utilizing microsphere-assisted super-resolution imaging, this system achieves an optical resolution of 66 nm within a field of view of 5.6 μm × 5.6 μm. This approach effectively breaks the diffraction limit, significantly enhancing the magnification of the system. The MAHSI system incorporating hyperspectral imaging with a wavelength range of 400-790 nm, enables the capture of the reflection spectrum at each camera pixel. The achieved pixel resolution, which is equivalent to the measuring spot size, is 14.4 nm/pixel and the magnification is 450X. The MAHSI system enables measurement of local uniformity in critical areas like corners and edges of DRAM cell blocks, areas previously challenging to inspect with conventional OCD methods. To our knowledge, this approach represents the first global implementation of microsphere-assisted hyperspectral imaging to address the metrology challenges in complex 3D structures of semiconductor devices. |
ArticleNumber | 122 |
Author | Kim, Jae-joon Lee, Jihye Yang, Yusin Ahn, Jeongho Choi, Youngsun Lee, Youngjun Kim, Jiwoong Park, Jangryul Lee, Myungjun Kwak, Hidong Kwon, Soonyang Jo, Taeyong Kim, Kwangrak |
Author_xml | – sequence: 1 givenname: Jangryul surname: Park fullname: Park, Jangryul organization: Metrology and Inspection Equipment R&D Team, Mechatronics Research, Samsung Electronics Co – sequence: 2 givenname: Youngsun surname: Choi fullname: Choi, Youngsun organization: Metrology and Inspection Equipment R&D Team, Mechatronics Research, Samsung Electronics Co – sequence: 3 givenname: Soonyang orcidid: 0000-0002-5012-7232 surname: Kwon fullname: Kwon, Soonyang organization: Metrology and Inspection Equipment R&D Team, Mechatronics Research, Samsung Electronics Co – sequence: 4 givenname: Youngjun surname: Lee fullname: Lee, Youngjun organization: Metrology and Inspection Equipment R&D Team, Mechatronics Research, Samsung Electronics Co – sequence: 5 givenname: Jiwoong surname: Kim fullname: Kim, Jiwoong organization: Metrology and Inspection Equipment R&D Team, Mechatronics Research, Samsung Electronics Co – sequence: 6 givenname: Jae-joon surname: Kim fullname: Kim, Jae-joon organization: Process Development Department, DRAM Process Development Team, Semiconductor R&D Center, Samsung Electronics Co – sequence: 7 givenname: Jihye surname: Lee fullname: Lee, Jihye organization: Process Development Department, DRAM Process Development Team, Semiconductor R&D Center, Samsung Electronics Co – sequence: 8 givenname: Jeongho surname: Ahn fullname: Ahn, Jeongho organization: Process Development Department, DRAM Process Development Team, Semiconductor R&D Center, Samsung Electronics Co – sequence: 9 givenname: Hidong surname: Kwak fullname: Kwak, Hidong organization: Process Development Department, Semiconductor R&D Center, Samsung Electronics Co – sequence: 10 givenname: Yusin surname: Yang fullname: Yang, Yusin organization: Process Development Department, Semiconductor R&D Center, Samsung Electronics Co – sequence: 11 givenname: Taeyong surname: Jo fullname: Jo, Taeyong organization: Metrology and Inspection Equipment R&D Team, Mechatronics Research, Samsung Electronics Co – sequence: 12 givenname: Myungjun surname: Lee fullname: Lee, Myungjun organization: Metrology and Inspection Equipment R&D Team, Mechatronics Research, Samsung Electronics Co – sequence: 13 givenname: Kwangrak surname: Kim fullname: Kim, Kwangrak email: kwangrak.kim@samsung.com organization: Metrology and Inspection Equipment R&D Team, Mechatronics Research, Samsung Electronics Co |
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Title | Microsphere-assisted hyperspectral imaging: super-resolution, non-destructive metrology for semiconductor devices |
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