journal article·2019

Deciphering of cerebrovasculatures via ICG-assisted NIR-II fluorescence microscopy

Xiaoming Yu, Zhe Feng, Zhaochong Cai, Minxiao Jiang, Dingwei Xue, Liang Zhu, Yi Zhang, Juan Liu, Bujun Que, Wei Yang, Wang Xi, Dan Zhang, Jun Qian, Gonghui Li

Journal of Materials Chemistry B· Volume 7· Issue 42
Publisher page

Abstract

Benefiting from high spatial resolution and large penetration depth, NIR-II (second near-infrared spectral region, 900-1700 nm) fluorescence imaging based on US Food and Drug Administration (FDA)-approved indocyanine green (ICG) is expected to be a good approach for clinical applications. As of now, nearly all reported works on ICG-assisted NIR-II fluorescence imaging are macro-imaging while micro-angiography is also a significant imaging modality, especially during the diagnosis and treatment of cerebrovascular diseases. Herein, based on NIR-II fluorescence wide-field microscopy, the high-resolution observation of cerebral vasculature was performed at deep brain tissues in mice via intramuscular (IM) injection of ICG. Altered cerebral vessels in mice after brain embolism were further noticed by means of noninvasive through-skull NIR-II fluorescence microscopy. Moreover, ICG-assisted NIR-II fluorescence confocal microscopy was executed to observe cerebral vasculature, presenting optical sectioning capability and higher spatial resolution.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Photoacoustic and Ultrasonic Imaging · Advanced Nanomaterials in Catalysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Urology

Sir Run-Run Shaw Hospital

Zhejiang University School of Medicine

Hangzhou 310016

China

State Key Laboratory of Modern Optical Instrumentations

Centre for Optical and Electromagnetic Research

College of Optical Science and Engineering

Zhejiang University

Hangzhou

Zhejiang University Interdisciplinary Institute of Neuroscience and Technology

School of Basic Medical Sciences

Key Laboratory of Reproductive Genetics

Ministry of Education (Zhejiang University)

Department of Reproductive Endocrinology

Women's Hospital

Funding

Natural Science Foundation of Zhejiang Province · National Natural Science Foundation of China

References (41)

Show source-provided references
1. Hong · Nat. Med. · 2012 · 18 · 184110.1038/nm.2995 ↗
2. Hong · Nat. Commun. · 2014 · 5 · 420610.1038/ncomms5206 ↗
3. Sevick-Muraca · Nat. Biomed. Eng. · 2017 · 1 · 006410.1038/s41551-017-0064 ↗
4. Fan · Nat. Nanotechnol. · 2018 · 13 · 94110.1038/s41565-018-0221-0 ↗
5. Cao · Opt. Lett. · 2018 · 43 · 385410.1364/OL.43.003854 ↗
6. Zebibula · Adv. Funct. Mater. · 2018 · 28 · 170345110.1002/adfm.201703451 ↗
7. Sun · Chem. Sci. · 2017 · 8 · 348910.1039/C7SC00251C ↗
8. Alifu · ACS Nano · 2018 · 12 · 1128210.1021/acsnano.8b05937 ↗
9. Guo · Adv. Mater. · 2018 · 30 · e180259110.1002/adma.201802591 ↗
10. Zeng · Adv. Healthcare Mater. · 2018 · 7 · e180058910.1002/adhm.201800589 ↗
11. Sun · Chem. Sci. · 2018 · 9 · 209210.1039/C7SC04774F ↗
12. Schnermann · Nature · 2017 · 551 · 17610.1038/nature24755 ↗
13. Antaris · Nat. Mater. · 2016 · 15 · 23510.1038/nmat4476 ↗
14. Zhang · Adv. Mater. · 2016 · 28 · 687210.1002/adma.201600706 ↗
15. Cheng · ACS Nano · 2017 · 11 · 1227610.1021/acsnano.7b05966 ↗
16. Liu · Angew. Chem., Int. Ed. · 2018 · 57 · 751810.1002/anie.201802889 ↗
17. Ding · J. Med. Chem. · 2019 · 62 · 204910.1021/acs.jmedchem.8b01682 ↗
18. Hong · Circ. Cardiovasc. Imaging · 2014 · 7 · 51710.1161/CIRCIMAGING.113.000305 ↗
19. Lin · Chem. Sci. · 2019 · 10 · 121910.1039/C8SC04363A ↗
20. Qu · Adv. Opt. Mater. · 2019 · 7 · 190022910.1002/adom.201900229 ↗
21. Landsman · J. Appl. Physiol. · 1976 · 40 · 57510.1152/jappl.1976.40.4.575 ↗
22. Fox · Proc. Staff Meet. Mayo Clin. · 1960 · 35 · 732
23. Bhavane · Sci. Rep. · 2018 · 8 · 1445510.1038/s41598-018-32754-y ↗
24. Zhu · Adv. Mater. · 2018 · 30 · e180254610.1002/adma.201802546 ↗
25. Starosolski · PLoS One · 2017 · 12 · e018756310.1371/journal.pone.0187563 ↗
26. Carr · Proc. Natl. Acad. Sci. U. S. A. · 2018 · 115 · 446510.1073/pnas.1718917115 ↗
27. Chen · Nat. Rev. Neurol. · 2010 · 6 · 25610.1038/nrneurol.2010.36 ↗
28. Chen · CT Theory Appl. · 2005 · 14 · 52
29. Jia · Microvasc. Res. · 2011 · 81 · 7310.1016/j.mvr.2010.11.003 ↗
30. Nagy · Br. J. Cancer · 2009 · 100 · 86510.1038/sj.bjc.6604929 ↗
31. Yu · Sci. Bull. · 2019 · 64 · 41010.1016/j.scib.2019.02.019 ↗
32. Feng · Theranostics · 2019 · 9 · 570610.7150/thno.31332 ↗
33. Guo · Adv. Mater. · 2019 · 31 · 190250410.1002/adma.201902504 ↗
34. Liu · J. Innov. Opt. Health Sci. · 2019 · 12 · 1960013
35. Zhu · Adv. Mater. · 2018 · 30 · e170579910.1002/adma.201705799 ↗
36. Wan · Nat. Commun. · 2018 · 9 · 117110.1038/s41467-018-03505-4 ↗
37. Zhang · Proc. Natl. Acad. Sci. U. S. A. · 2018 · 115 · 659010.1073/pnas.1806153115 ↗
38. Jin · Patient Prefer Adher. · 2015 · 9 · 923
39. Ansari · J. Visualized Exp. · 2011 · 51 · 2879
40. Bahmani · Int. J. Nanomed. · 2013 · 8 · 1609
41. Yu · Chem. Mater. · 2007 · 19 · 127710.1021/cm062080x ↗