Locating and classifying fluorescent tags behind turbid layers using time-resolved inversion
The use of fluorescent probes and the recovery of their lifetimes allow for significant advances in many imaging systems, in particular, medical imaging systems. Here we propose and experimentally demonstrate reconstructing the locations and lifetimes of fluorescent markers hidden behind a turbid la...
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description | The use of fluorescent probes and the recovery of their lifetimes allow for significant advances in many imaging systems, in particular, medical imaging systems. Here we propose and experimentally demonstrate reconstructing the locations and lifetimes of fluorescent markers hidden behind a turbid layer. This opens the door to various applications for non-invasive diagnosis, analysis, flowmetry and inspection. The method is based on a time-resolved measurement that captures information about both fluorescence lifetime and spatial position of the probes. To reconstruct the scene, the method relies on a sparse optimization framework to invert time-resolved measurements. This wide-angle technique does not rely on coherence, and does not require the probes to be directly in line of sight of the camera, making it potentially suitable for long-range imaging.
Fluorescent patches can be localized in 3D and identified behind a diffusive layer by use of streak images taken from one horizontal line on the diffusive barrier. Satat
et al
. show that the time-resolved inversion along with sparse prior can be used to perform this with deeper recovery range. |
doi_str_mv | 10.1038/ncomms7796 |
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Fluorescent patches can be localized in 3D and identified behind a diffusive layer by use of streak images taken from one horizontal line on the diffusive barrier. Satat
et al
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Fluorescent patches can be localized in 3D and identified behind a diffusive layer by use of streak images taken from one horizontal line on the diffusive barrier. Satat
et al
. show that the time-resolved inversion along with sparse prior can be used to perform this with deeper recovery range.</description><subject>639/301/930/2735</subject><subject>639/638/11/874</subject><subject>639/766/25</subject><subject>639/766/400</subject><subject>Algorithms</subject><subject>Cameras</subject><subject>Fluorescent Dyes - chemistry</subject><subject>Fluorescent indicators</subject><subject>Geometry</subject><subject>Humanities and Social Sciences</subject><subject>Image Processing, Computer-Assisted - statistics & numerical data</subject><subject>Inspection</subject><subject>Lifetime</subject><subject>Medical imaging</subject><subject>Molecular Imaging - instrumentation</subject><subject>Molecular Imaging - methods</subject><subject>multidisciplinary</subject><subject>Optimization</subject><subject>Position measurement</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Spectrometry, Fluorescence - instrumentation</subject><subject>Spectrometry, Fluorescence - 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Academic</collection><jtitle>Nature communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Satat, Guy</au><au>Heshmat, Barmak</au><au>Barsi, Christopher</au><au>Raviv, Dan</au><au>Chen, Ou</au><au>Bawendi, Moungi G.</au><au>Raskar, Ramesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Locating and classifying fluorescent tags behind turbid layers using time-resolved inversion</atitle><jtitle>Nature communications</jtitle><stitle>Nat Commun</stitle><addtitle>Nat Commun</addtitle><date>2015-04-13</date><risdate>2015</risdate><volume>6</volume><issue>1</issue><spage>6796</spage><epage>6796</epage><pages>6796-6796</pages><artnum>6796</artnum><issn>2041-1723</issn><eissn>2041-1723</eissn><abstract>The use of fluorescent probes and the recovery of their lifetimes allow for significant advances in many imaging systems, in particular, medical imaging systems. Here we propose and experimentally demonstrate reconstructing the locations and lifetimes of fluorescent markers hidden behind a turbid layer. This opens the door to various applications for non-invasive diagnosis, analysis, flowmetry and inspection. The method is based on a time-resolved measurement that captures information about both fluorescence lifetime and spatial position of the probes. To reconstruct the scene, the method relies on a sparse optimization framework to invert time-resolved measurements. This wide-angle technique does not rely on coherence, and does not require the probes to be directly in line of sight of the camera, making it potentially suitable for long-range imaging.
Fluorescent patches can be localized in 3D and identified behind a diffusive layer by use of streak images taken from one horizontal line on the diffusive barrier. Satat
et al
. show that the time-resolved inversion along with sparse prior can be used to perform this with deeper recovery range.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>25865155</pmid><doi>10.1038/ncomms7796</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 639/301/930/2735 639/638/11/874 639/766/25 639/766/400 Algorithms Cameras Fluorescent Dyes - chemistry Fluorescent indicators Geometry Humanities and Social Sciences Image Processing, Computer-Assisted - statistics & numerical data Inspection Lifetime Medical imaging Molecular Imaging - instrumentation Molecular Imaging - methods multidisciplinary Optimization Position measurement Science Science (multidisciplinary) Spectrometry, Fluorescence - instrumentation Spectrometry, Fluorescence - methods Time Factors Time measurement |
title | Locating and classifying fluorescent tags behind turbid layers using time-resolved inversion |
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