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Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology
This work demonstrates the first on-chip UV optoelectronic integration in 4H-SiC CMOS, which includes an image sensor with 64 active pixels and a total of 1263 transistors on a 100 mm(2) chip. The reported image sensor offers serial digital, analog, and 2-bit ADC outputs and operates at 0.39 Hz with...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592596/ https://www.ncbi.nlm.nih.gov/pubmed/36304906 http://dx.doi.org/10.1038/s41378-022-00446-3 |
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author | Romijn, Joost Vollebregt, Sten Middelburg, Luke M. Mansouri, Brahim El van Zeijl, Henk W. May, Alexander Erlbacher, Tobias Leijtens, Johan Zhang, Guoqi Sarro, Pasqualina M. |
author_facet | Romijn, Joost Vollebregt, Sten Middelburg, Luke M. Mansouri, Brahim El van Zeijl, Henk W. May, Alexander Erlbacher, Tobias Leijtens, Johan Zhang, Guoqi Sarro, Pasqualina M. |
author_sort | Romijn, Joost |
collection | PubMed |
description | This work demonstrates the first on-chip UV optoelectronic integration in 4H-SiC CMOS, which includes an image sensor with 64 active pixels and a total of 1263 transistors on a 100 mm(2) chip. The reported image sensor offers serial digital, analog, and 2-bit ADC outputs and operates at 0.39 Hz with a maximum power consumption of 60 μW, which are significant improvements over previous reports. UV optoelectronics have applications in flame detection, satellites, astronomy, UV photography, and healthcare. The complexity of this optoelectronic system paves the way for new applications such harsh environment microcontrollers. |
format | Online Article Text |
id | pubmed-9592596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95925962022-10-26 Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology Romijn, Joost Vollebregt, Sten Middelburg, Luke M. Mansouri, Brahim El van Zeijl, Henk W. May, Alexander Erlbacher, Tobias Leijtens, Johan Zhang, Guoqi Sarro, Pasqualina M. Microsyst Nanoeng Article This work demonstrates the first on-chip UV optoelectronic integration in 4H-SiC CMOS, which includes an image sensor with 64 active pixels and a total of 1263 transistors on a 100 mm(2) chip. The reported image sensor offers serial digital, analog, and 2-bit ADC outputs and operates at 0.39 Hz with a maximum power consumption of 60 μW, which are significant improvements over previous reports. UV optoelectronics have applications in flame detection, satellites, astronomy, UV photography, and healthcare. The complexity of this optoelectronic system paves the way for new applications such harsh environment microcontrollers. Nature Publishing Group UK 2022-10-25 /pmc/articles/PMC9592596/ /pubmed/36304906 http://dx.doi.org/10.1038/s41378-022-00446-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Romijn, Joost Vollebregt, Sten Middelburg, Luke M. Mansouri, Brahim El van Zeijl, Henk W. May, Alexander Erlbacher, Tobias Leijtens, Johan Zhang, Guoqi Sarro, Pasqualina M. Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology |
title | Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology |
title_full | Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology |
title_fullStr | Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology |
title_full_unstemmed | Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology |
title_short | Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology |
title_sort | integrated 64 pixel uv image sensor and readout in a silicon carbide cmos technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592596/ https://www.ncbi.nlm.nih.gov/pubmed/36304906 http://dx.doi.org/10.1038/s41378-022-00446-3 |
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