Recent progress in background-free latent fingerprint imaging  被引量:14

Recent progress in background-free latent fingerprint imaging

在线阅读下载全文

作  者:Yingqian Wang Jie Wang Qinqin Ma Zhihao Li Quan Yuan 

机构地区:[1]Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), College of Chemistry and MolecularSciences, Wuhan University, Wuhan 430072, China

出  处:《Nano Research》2018年第10期5499-5518,共20页纳米研究(英文版)

基  金:This work was supported by the National Natural Science Foundation of China (No. 21675120), the National Key R&D Program of China (Nos. 2017YFA0208000 and 2016YFF0100800), the National Basic Research Program of China (973 Program, No. 2015CB932600) and Ten Thousand Talents Program for Young Talents.

摘  要:Owing to their unique pattern and abundant chemical composition, latent fingerprints (LFPs) can serve as "ID cards" and "information banks" of donors and therefore are valuable for forensic investigation, access control, and even medical diagnosis. LFP imaging has attracted considerable attention, and a great variety of contrast agents has been developed. In LFP imaging, background signals such as background fluorescence from the underlying surface can seriously blur the LFP images and decrease imaging sensitivity; thus, great efforts have been made to eliminate background interference. Here, we stratify the recent progress in background-free LFP imaging by making use of the difference in properties between contrast agents and background compounds. For example, near-infrared (NIR) light-activatable contrast agents can efficiently remove background signals in LFP imaging because the background compounds cannot be excited by NIR light, showing that the difference in excitation properties between contrast agents and background compounds can be employed to eliminate background interference. This review is organized around background-free LFP imaging based on the difference in optical properties between contrast agents and background compounds: (i) different excitation wavelengths, (ii) different emission wavelengths, (iii) different luminescence lifetime values, (iv) different plasmonic properties, (v) different photothermal properties, and (vi) different electrochemiluminescence properties.Owing to their unique pattern and abundant chemical composition, latent fingerprints (LFPs) can serve as "ID cards" and "information banks" of donors and therefore are valuable for forensic investigation, access control, and even medical diagnosis. LFP imaging has attracted considerable attention, and a great variety of contrast agents has been developed. In LFP imaging, background signals such as background fluorescence from the underlying surface can seriously blur the LFP images and decrease imaging sensitivity; thus, great efforts have been made to eliminate background interference. Here, we stratify the recent progress in background-free LFP imaging by making use of the difference in properties between contrast agents and background compounds. For example, near-infrared (NIR) light-activatable contrast agents can efficiently remove background signals in LFP imaging because the background compounds cannot be excited by NIR light, showing that the difference in excitation properties between contrast agents and background compounds can be employed to eliminate background interference. This review is organized around background-free LFP imaging based on the difference in optical properties between contrast agents and background compounds: (i) different excitation wavelengths, (ii) different emission wavelengths, (iii) different luminescence lifetime values, (iv) different plasmonic properties, (v) different photothermal properties, and (vi) different electrochemiluminescence properties.

关 键 词:latent fingerprints background interference UPCONVERSION persistent luminescence NANOPARTICLES 

分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] O657.31[自动化与计算机技术—计算机科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象