Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection
Abstract Sensing and recognizing invisible ultraviolet (UV) light is vital for exploiting advanced artificial visual perception system. However, due to the uncertainty of the natural environment, the UV signal is very hard to be detected and perceived. Here, inspired by the tetrachromatic visual sys...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-37973-0 |
| _version_ | 1797840960781025280 |
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| author | Ting Jiang Yiru Wang Yingshuang Zheng Le Wang Xiang He Liqiang Li Yunfeng Deng Huanli Dong Hongkun Tian Yanhou Geng Linghai Xie Yong Lei Haifeng Ling Deyang Ji Wenping Hu |
| author_facet | Ting Jiang Yiru Wang Yingshuang Zheng Le Wang Xiang He Liqiang Li Yunfeng Deng Huanli Dong Hongkun Tian Yanhou Geng Linghai Xie Yong Lei Haifeng Ling Deyang Ji Wenping Hu |
| author_sort | Ting Jiang |
| collection | DOAJ |
| description | Abstract Sensing and recognizing invisible ultraviolet (UV) light is vital for exploiting advanced artificial visual perception system. However, due to the uncertainty of the natural environment, the UV signal is very hard to be detected and perceived. Here, inspired by the tetrachromatic visual system, we report a controllable UV-ultrasensitive neuromorphic vision sensor (NeuVS) that uses organic phototransistors (OPTs) as the working unit to integrate sensing, memory and processing functions. Benefiting from asymmetric molecular structure and unique UV absorption of the active layer, the as fabricated UV-ultrasensitive NeuVS can detect 370 nm UV-light with the illumination intensity as low as 31 nW cm−2, exhibiting one of the best optical figures of merit in UV-sensitive neuromorphic vision sensors. Furthermore, the NeuVS array exbibits good image sensing and memorization capability due to its ultrasensitive optical detection and large density of charge trapping states. In addition, the wavelength-selective response and multi-level optical memory properties are utilized to construct an artificial neural network for extract and identify the invisible UV information. The NeuVS array can perform static and dynamic image recognition from the original color image by filtering red, green and blue noise, and significantly improve the recognition accuracy from 46 to 90%. |
| first_indexed | 2024-04-09T16:23:17Z |
| format | Article |
| id | doaj.art-dfd5370c2a144dba8225dc73a67bda46 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-09T16:23:17Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-dfd5370c2a144dba8225dc73a67bda462023-04-23T11:22:48ZengNature PortfolioNature Communications2041-17232023-04-011411910.1038/s41467-023-37973-0Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detectionTing Jiang0Yiru Wang1Yingshuang Zheng2Le Wang3Xiang He4Liqiang Li5Yunfeng Deng6Huanli Dong7Hongkun Tian8Yanhou Geng9Linghai Xie10Yong Lei11Haifeng Ling12Deyang Ji13Wenping Hu14Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, Institute of Molecular Aggregation Science, Tianjin UniversityState Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & TelecommunicationsTianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, Institute of Molecular Aggregation Science, Tianjin UniversityState Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & TelecommunicationsState Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & TelecommunicationsTianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, Institute of Molecular Aggregation Science, Tianjin UniversitySchool of Materials Science and Engineering, Tianjin UniversityBeijing National Laboratory for Molecular Sciences, Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of SciencesState Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of SciencesSchool of Materials Science and Engineering, Tianjin UniversityState Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & TelecommunicationsFachgebiet Angewandte Nanophysik, Institut für Physik & IMN MacroNano, Technische Universität IlmenauState Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & TelecommunicationsTianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, Institute of Molecular Aggregation Science, Tianjin UniversityHaihe Laboratory of Sustainable Chemical TransformationsAbstract Sensing and recognizing invisible ultraviolet (UV) light is vital for exploiting advanced artificial visual perception system. However, due to the uncertainty of the natural environment, the UV signal is very hard to be detected and perceived. Here, inspired by the tetrachromatic visual system, we report a controllable UV-ultrasensitive neuromorphic vision sensor (NeuVS) that uses organic phototransistors (OPTs) as the working unit to integrate sensing, memory and processing functions. Benefiting from asymmetric molecular structure and unique UV absorption of the active layer, the as fabricated UV-ultrasensitive NeuVS can detect 370 nm UV-light with the illumination intensity as low as 31 nW cm−2, exhibiting one of the best optical figures of merit in UV-sensitive neuromorphic vision sensors. Furthermore, the NeuVS array exbibits good image sensing and memorization capability due to its ultrasensitive optical detection and large density of charge trapping states. In addition, the wavelength-selective response and multi-level optical memory properties are utilized to construct an artificial neural network for extract and identify the invisible UV information. The NeuVS array can perform static and dynamic image recognition from the original color image by filtering red, green and blue noise, and significantly improve the recognition accuracy from 46 to 90%.https://doi.org/10.1038/s41467-023-37973-0 |
| spellingShingle | Ting Jiang Yiru Wang Yingshuang Zheng Le Wang Xiang He Liqiang Li Yunfeng Deng Huanli Dong Hongkun Tian Yanhou Geng Linghai Xie Yong Lei Haifeng Ling Deyang Ji Wenping Hu Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection Nature Communications |
| title | Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection |
| title_full | Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection |
| title_fullStr | Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection |
| title_full_unstemmed | Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection |
| title_short | Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection |
| title_sort | tetrachromatic vision inspired neuromorphic sensors with ultraweak ultraviolet detection |
| url | https://doi.org/10.1038/s41467-023-37973-0 |
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