2020
DOI: 10.3389/fcvm.2020.00122
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Investigating Origins of FLIm Contrast in Atherosclerotic Lesions Using Combined FLIm-Raman Spectroscopy

Abstract: Background: Fluorescence lifetime imaging (FLIm) is a spectroscopic imaging technique able to characterize the composition of luminal surface of arterial vessels. Studies of human coronary samples demonstrated that distinct atherosclerotic lesion types are characterized by FLIm features associate with distinct tissue molecular makeup. While conventional histology has provided indications about potential sources of molecular contrast, specific information about the origin of FLIm signals is lacking. … Show more

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Cited by 8 publications
(8 citation statements)
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“…The latter include brain tumor resection surgery, where the FLIm instrument interfaces with a neurosurgical microscope (eg, OPMI Pentero 900 (Carl Zeiss Meditec, Jena, Germany) [109]; and oral and oropharyngeal surgery for tumor removal with surgical robotic platforms (eg, da Vinci Surgical System [Intuitive Surgical, Sunnyvale, California] introducer sheaths [Si model] and graspers [SP model]) [110,123,127], which display the acquired FLIm data in an image format onto the surgeon's field‐of‐view. Finally, FLIm is also compatible with multimodal imaging and it has been combined with ultrasound [108,128], OCT [84,117,129] and Raman imaging [130–133]. The majority of these integrated approaches were implemented in bench‐top systems and with ex vivo samples, establishing proof of principle.…”
Section: Clinical Flim Instrumentationmentioning
confidence: 99%
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“…The latter include brain tumor resection surgery, where the FLIm instrument interfaces with a neurosurgical microscope (eg, OPMI Pentero 900 (Carl Zeiss Meditec, Jena, Germany) [109]; and oral and oropharyngeal surgery for tumor removal with surgical robotic platforms (eg, da Vinci Surgical System [Intuitive Surgical, Sunnyvale, California] introducer sheaths [Si model] and graspers [SP model]) [110,123,127], which display the acquired FLIm data in an image format onto the surgeon's field‐of‐view. Finally, FLIm is also compatible with multimodal imaging and it has been combined with ultrasound [108,128], OCT [84,117,129] and Raman imaging [130–133]. The majority of these integrated approaches were implemented in bench‐top systems and with ex vivo samples, establishing proof of principle.…”
Section: Clinical Flim Instrumentationmentioning
confidence: 99%
“…Bimodal FLIm and Raman imaging may yield a label‐free detection system with overall increased sensitivity. A combined probe that facilitates the simultaneous acquisition of both modalities has been previously tested on atherosclerotic samples [130–132]. A more recent configuration consists of a fiber bundle with a central MMF for FLIm excitation and collection, and eight peripheral fibers, one for Raman excitation (785 nm) and seven for Raman collection (Figure 2E, see [132,133] for more details).…”
Section: Clinical Flim Instrumentationmentioning
confidence: 99%
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“…Raman signals, however, are generally much weaker than fluorescence, require higher laser powers or longer exposure times and can be obscured by fluorescence and noise. Histogramming TCSPC sensors enable the simultaneous acquisition of fluorescence and Raman signals [ 65 ], offering complementary spectroscopic analysis prospects[ 226 ]. Large and growing libraries of known Raman signals are also available for which signal similarity algorithms can be used to identify the molecule being probed [ 227 , 228 ].…”
Section: Conclusion Challenges and Opportunitiesmentioning
confidence: 99%
“…18,19 TORS platforms have demonstrated promise for the intraoperative delineation of conventional primary oral cavity and oropharyngeal cancers in human patients, both in vivo and ex vivo. 17,19,20 FLIm has also demonstrated potential for disease diagnosis and surgical guidance in other surgical areas, including cardiovascular disease, [21][22][23] breast cancer, 24 brain cancer, 25 and intraoperative guidance during thyroid surgery. 26 While FLIm technology is still in investigational stages from a clinical standpoint, significant developments in optical hardware, classification methods, and computing power are rapidly facilitating FLIm towards clinical adoption.…”
mentioning
confidence: 99%