<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(1)</volume><submitter>Bhavane R</submitter><funding>Gillson Longenbaugh Foundation</funding><pubmed_abstract>Fluorescence imaging in the second near-infrared window (NIR-II) holds promise for real-time deep tissue imaging. In this work, we investigated the NIR-II fluorescence properties of a liposomal formulation of indocyanine green (ICG), a FDA-approved dye that was recently shown to exhibit NIR-II fluorescence. Fluorescence spectra of liposomal-ICG were collected in phosphate-buffered saline (PBS) and plasma. Imaging studies in an Intralipid&lt;sup>®&lt;/sup> phantom were performed to determine penetration depth. In vivo imaging studies were performed to test real-time visualization of vascular structures in the hind limb and intracranial regions. Free ICG, NIR-I imaging, and cross-sectional imaging modalities (MRI and CT) were used as comparators. Fluorescence spectra demonstrated the strong NIR-II fluorescence of liposomal-ICG, similar to free ICG in plasma. In vitro studies demonstrated superior performance of liposomal-ICG over free ICG for NIR-II imaging of deep (≥4 mm) vascular mimicking structures. In vivo, NIR-II fluorescence imaging using liposomal-ICG resulted in significantly (p &lt; 0.05) higher contrast-to-noise ratio compared to free ICG for extended periods of time, allowing visualization of hind limb and intracranial vasculature for up to 4 hours post-injection. In vivo comparisons demonstrated higher vessel conspicuity with liposomal-ICG-enhanced NIR-II imaging compared to NIR-I imaging.</pubmed_abstract><journal>Scientific reports</journal><pagination>14455</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6160486</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>NIR-II fluorescence imaging using indocyanine green nanoparticles.</pubmed_title><pmcid>PMC6160486</pmcid><pubmed_authors>Starosolski Z</pubmed_authors><pubmed_authors>Annapragada A</pubmed_authors><pubmed_authors>Ghaghada KB</pubmed_authors><pubmed_authors>Stupin I</pubmed_authors><pubmed_authors>Bhavane R</pubmed_authors></additional><is_claimable>false</is_claimable><name>NIR-II fluorescence imaging using indocyanine green nanoparticles.</name><description>Fluorescence imaging in the second near-infrared window (NIR-II) holds promise for real-time deep tissue imaging. In this work, we investigated the NIR-II fluorescence properties of a liposomal formulation of indocyanine green (ICG), a FDA-approved dye that was recently shown to exhibit NIR-II fluorescence. Fluorescence spectra of liposomal-ICG were collected in phosphate-buffered saline (PBS) and plasma. Imaging studies in an Intralipid&lt;sup>®&lt;/sup> phantom were performed to determine penetration depth. In vivo imaging studies were performed to test real-time visualization of vascular structures in the hind limb and intracranial regions. Free ICG, NIR-I imaging, and cross-sectional imaging modalities (MRI and CT) were used as comparators. Fluorescence spectra demonstrated the strong NIR-II fluorescence of liposomal-ICG, similar to free ICG in plasma. In vitro studies demonstrated superior performance of liposomal-ICG over free ICG for NIR-II imaging of deep (≥4 mm) vascular mimicking structures. In vivo, NIR-II fluorescence imaging using liposomal-ICG resulted in significantly (p &lt; 0.05) higher contrast-to-noise ratio compared to free ICG for extended periods of time, allowing visualization of hind limb and intracranial vasculature for up to 4 hours post-injection. In vivo comparisons demonstrated higher vessel conspicuity with liposomal-ICG-enhanced NIR-II imaging compared to NIR-I imaging.</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Sep</publication><modification>2025-04-21T18:12:02.552Z</modification><creation>2019-03-26T23:58:28Z</creation></dates><accession>S-EPMC6160486</accession><cross_references><pubmed>30262808</pubmed><doi>10.1038/s41598-018-32754-y</doi></cross_references></HashMap>