Doron Pasha, Majd Abu Aisheh, Isaac Y. August, Ibrahim Abdulhalim
{"title":"金属腔内薄液晶层高速多光谱成像及人工智能重建算法","authors":"Doron Pasha, Majd Abu Aisheh, Isaac Y. August, Ibrahim Abdulhalim","doi":"10.1002/lpor.202500547","DOIUrl":null,"url":null,"abstract":"A concept and demonstration of a fast multispectral imager operating across the visible (Vis) and near‐infrared (NIR) ranges is presented. This system utilizes a specially designed LC tunable metal‐insulator‐metal (MIM) cavity combined with a passive multiband pass filter (MBF). The integration of the MBF with the MIM device, along with advanced artificial intelligence algorithms, provides several key benefits: i) lower production cost, ii) dual functionality of the metal layers as reflectors and electrodes, iii) a richer spectrum exhibiting a larger number of peaks and valleys at reduced thickness, enabling faster switching and robust spectrum reconstruction, iv) a broader operational spectrum, v) higher light throughput as only one polarizer is needed, vi) reduced tolerance requirements on the contrast of the spectrum due to the use of artificial neural nets reconstruction algorithm, and vii) lower operation voltage. The MIM tunable device exhibits as fast as 50 µs stabilization time with an average value of 250 µs, and a total acquisition time of <5 ms, highlighting the potential of this technology for high‐rate multispectral video. The system's applicability is demonstrated in food monitoring, showcasing its potential for real‐time efficient spectral analysis.","PeriodicalId":204,"journal":{"name":"Laser & Photonics Reviews","volume":"118 1","pages":""},"PeriodicalIF":9.8000,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Higher Speed Multispectral Imaging Using a Thin Liquid Crystal Layer in Metal Cavity and Artificial Intelligence Reconstruction Algorithm\",\"authors\":\"Doron Pasha, Majd Abu Aisheh, Isaac Y. August, Ibrahim Abdulhalim\",\"doi\":\"10.1002/lpor.202500547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A concept and demonstration of a fast multispectral imager operating across the visible (Vis) and near‐infrared (NIR) ranges is presented. This system utilizes a specially designed LC tunable metal‐insulator‐metal (MIM) cavity combined with a passive multiband pass filter (MBF). The integration of the MBF with the MIM device, along with advanced artificial intelligence algorithms, provides several key benefits: i) lower production cost, ii) dual functionality of the metal layers as reflectors and electrodes, iii) a richer spectrum exhibiting a larger number of peaks and valleys at reduced thickness, enabling faster switching and robust spectrum reconstruction, iv) a broader operational spectrum, v) higher light throughput as only one polarizer is needed, vi) reduced tolerance requirements on the contrast of the spectrum due to the use of artificial neural nets reconstruction algorithm, and vii) lower operation voltage. The MIM tunable device exhibits as fast as 50 µs stabilization time with an average value of 250 µs, and a total acquisition time of <5 ms, highlighting the potential of this technology for high‐rate multispectral video. The system's applicability is demonstrated in food monitoring, showcasing its potential for real‐time efficient spectral analysis.\",\"PeriodicalId\":204,\"journal\":{\"name\":\"Laser & Photonics Reviews\",\"volume\":\"118 1\",\"pages\":\"\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2025-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Laser & Photonics Reviews\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1002/lpor.202500547\",\"RegionNum\":1,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Laser & Photonics Reviews","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1002/lpor.202500547","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPTICS","Score":null,"Total":0}
Higher Speed Multispectral Imaging Using a Thin Liquid Crystal Layer in Metal Cavity and Artificial Intelligence Reconstruction Algorithm
A concept and demonstration of a fast multispectral imager operating across the visible (Vis) and near‐infrared (NIR) ranges is presented. This system utilizes a specially designed LC tunable metal‐insulator‐metal (MIM) cavity combined with a passive multiband pass filter (MBF). The integration of the MBF with the MIM device, along with advanced artificial intelligence algorithms, provides several key benefits: i) lower production cost, ii) dual functionality of the metal layers as reflectors and electrodes, iii) a richer spectrum exhibiting a larger number of peaks and valleys at reduced thickness, enabling faster switching and robust spectrum reconstruction, iv) a broader operational spectrum, v) higher light throughput as only one polarizer is needed, vi) reduced tolerance requirements on the contrast of the spectrum due to the use of artificial neural nets reconstruction algorithm, and vii) lower operation voltage. The MIM tunable device exhibits as fast as 50 µs stabilization time with an average value of 250 µs, and a total acquisition time of <5 ms, highlighting the potential of this technology for high‐rate multispectral video. The system's applicability is demonstrated in food monitoring, showcasing its potential for real‐time efficient spectral analysis.
期刊介绍:
Laser & Photonics Reviews is a reputable journal that publishes high-quality Reviews, original Research Articles, and Perspectives in the field of photonics and optics. It covers both theoretical and experimental aspects, including recent groundbreaking research, specific advancements, and innovative applications.
As evidence of its impact and recognition, Laser & Photonics Reviews boasts a remarkable 2022 Impact Factor of 11.0, according to the Journal Citation Reports from Clarivate Analytics (2023). Moreover, it holds impressive rankings in the InCites Journal Citation Reports: in 2021, it was ranked 6th out of 101 in the field of Optics, 15th out of 161 in Applied Physics, and 12th out of 69 in Condensed Matter Physics.
The journal uses the ISSN numbers 1863-8880 for print and 1863-8899 for online publications.