Haolan Hu , Jingzhen Wang , Beini Sun , Shuo Wang , Tongsheng Chen , Min Hu
{"title":"基于亮度编码集的多色成像技术","authors":"Haolan Hu , Jingzhen Wang , Beini Sun , Shuo Wang , Tongsheng Chen , Min Hu","doi":"10.1016/j.optlaseng.2024.108552","DOIUrl":null,"url":null,"abstract":"<div><p>Fluorescence imaging necessitates precise matching of excitation source, dichroic mirror, emission filter, detector and dyes, which is complex and time-consuming, especially for applications of probe multiplexing. We propose a novel method for multicolor imaging based on a brightness coded set. Each brightness code consists of 12 bits (<span><math><mi>O</mi><mi>O</mi><mi>O</mi><mi>X</mi><mi>X</mi><mi>X</mi><mi>Y</mi><mi>Y</mi><mi>Y</mi><mi>Z</mi><mi>T</mi><mi>T</mi></math></span>), denoting probe type, cube, emission filter, imaging result and priority, respectively. The brightness of a probe in an imaging system is defined as the product of extinction coefficient, quantum yield and the filter transmittance. When the brightness exceeds the threshold, <span><math><mi>Z</mi><mo>=</mo><mn>1</mn></math></span> indicates a clear image, otherwise <span><math><mi>Z</mi><mo>=</mo><mn>0</mn></math></span>. The higher the brightness value the higher the priority (<em>TT</em>). To validate the efficacy and efficiency of the coding method, we conducted two separate experiments involving four-color imaging. The proposed method offers a substantial simplification of the conventional approach to device matching in multicolor imaging by leveraging spectrograms, and presents a promising avenue for the advancement of intelligent multicolor imaging systems.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multicolor imaging based on brightness coded set\",\"authors\":\"Haolan Hu , Jingzhen Wang , Beini Sun , Shuo Wang , Tongsheng Chen , Min Hu\",\"doi\":\"10.1016/j.optlaseng.2024.108552\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Fluorescence imaging necessitates precise matching of excitation source, dichroic mirror, emission filter, detector and dyes, which is complex and time-consuming, especially for applications of probe multiplexing. We propose a novel method for multicolor imaging based on a brightness coded set. Each brightness code consists of 12 bits (<span><math><mi>O</mi><mi>O</mi><mi>O</mi><mi>X</mi><mi>X</mi><mi>X</mi><mi>Y</mi><mi>Y</mi><mi>Y</mi><mi>Z</mi><mi>T</mi><mi>T</mi></math></span>), denoting probe type, cube, emission filter, imaging result and priority, respectively. The brightness of a probe in an imaging system is defined as the product of extinction coefficient, quantum yield and the filter transmittance. When the brightness exceeds the threshold, <span><math><mi>Z</mi><mo>=</mo><mn>1</mn></math></span> indicates a clear image, otherwise <span><math><mi>Z</mi><mo>=</mo><mn>0</mn></math></span>. The higher the brightness value the higher the priority (<em>TT</em>). To validate the efficacy and efficiency of the coding method, we conducted two separate experiments involving four-color imaging. The proposed method offers a substantial simplification of the conventional approach to device matching in multicolor imaging by leveraging spectrograms, and presents a promising avenue for the advancement of intelligent multicolor imaging systems.</p></div>\",\"PeriodicalId\":49719,\"journal\":{\"name\":\"Optics and Lasers in Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optics and Lasers in Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S014381662400530X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Lasers in Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S014381662400530X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
Fluorescence imaging necessitates precise matching of excitation source, dichroic mirror, emission filter, detector and dyes, which is complex and time-consuming, especially for applications of probe multiplexing. We propose a novel method for multicolor imaging based on a brightness coded set. Each brightness code consists of 12 bits (), denoting probe type, cube, emission filter, imaging result and priority, respectively. The brightness of a probe in an imaging system is defined as the product of extinction coefficient, quantum yield and the filter transmittance. When the brightness exceeds the threshold, indicates a clear image, otherwise . The higher the brightness value the higher the priority (TT). To validate the efficacy and efficiency of the coding method, we conducted two separate experiments involving four-color imaging. The proposed method offers a substantial simplification of the conventional approach to device matching in multicolor imaging by leveraging spectrograms, and presents a promising avenue for the advancement of intelligent multicolor imaging systems.
期刊介绍:
Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.
Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following:
-Optical Metrology-
Optical Methods for 3D visualization and virtual engineering-
Optical Techniques for Microsystems-
Imaging, Microscopy and Adaptive Optics-
Computational Imaging-
Laser methods in manufacturing-
Integrated optical and photonic sensors-
Optics and Photonics in Life Science-
Hyperspectral and spectroscopic methods-
Infrared and Terahertz techniques