| dc.contributor.author | Dang, Xiangnan | |
| dc.contributor.author | Bardhan, Neelkanth Manoj | |
| dc.contributor.author | Qi, Jifa | |
| dc.contributor.author | Gu, Li | |
| dc.contributor.author | Eze, Ngozi A | |
| dc.contributor.author | Lin, Ching-Wei | |
| dc.contributor.author | Kataria, Swati | |
| dc.contributor.author | Hammond, Paula T | |
| dc.contributor.author | Belcher, Angela M | |
| dc.date.accessioned | 2019-03-29T21:39:15Z | |
| dc.date.available | 2019-03-29T21:39:15Z | |
| dc.date.issued | 2019-03 | |
| dc.date.submitted | 2017-12 | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/121128 | |
| dc.description.abstract | Detection of biological features at the cellular level with sufcient sensitivity in complex tissue remains a major challenge. To appreciate this challenge, this would require fnding tens to hundreds of cells (a 0.1 mm tumor has ~125 cells), out of ~37 trillion cells in the human body. Near-infrared optical imaging holds promise for high-resolution, deep-tissue imaging, but is limited by autofuorescence and scattering. To date, the maximum reported depth using second-window near-infrared (NIR-II: 1000–1700 nm) fuorophores is 3.2 cm through tissue. Here, we design an NIR-II imaging system, “Detection of Optically Luminescent Probes using Hyperspectral and difuse Imaging in Near-infrared” (DOLPHIN), that resolves these challenges. DOLPHIN achieves the following: (i) resolution of probes through up to 8 cm of tissue phantom; (ii) identifcation of spectral and scattering signatures of tissues without a priori knowledge of background or autofuorescence; and (iii) 3D reconstruction of live whole animals. Notably, we demonstrate noninvasive real-time tracking of a 0.1 mm-sized fuorophore through the gastrointestinal tract of a living mouse, which is beyond the detection limit of current imaging modalities. | en_US |
| dc.description.sponsorship | Untied States. National Cancer Institute. Cancer Center Support (Grant P30-CA14051) | en_US |
| dc.description.sponsorship | United States. National Cancer Institute. Center for Cancer Nanotechnology Excellence (Grant 5-U54-CA151884-03) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Nature Publishing Group | en_US |
| dc.relation.isversionof | https://doi.org/10.1038/s41598-019-39502-w | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Scientific Reports | en_US |
| dc.title | Deep-tissue optical imaging of near cellular-sized features | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Dang, Xiangnan et al. “Deep-Tissue Optical Imaging of Near Cellular-Sized Features.” Scientific Reports 9, 1 (March 2019). doi:10.1038/s41598-019-39502-w. © 2019 The Author(s) | en_US |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Chemical Engineering | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Materials Science and Engineering | en_US |
| dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | en_US |
| dc.contributor.approver | Bardhan, Neelkanth | en_US |
| dc.contributor.mitauthor | Dang, Xiangnan | |
| dc.contributor.mitauthor | Bardhan, Neelkanth Manoj | |
| dc.contributor.mitauthor | Qi, Jifa | |
| dc.contributor.mitauthor | Gu, Li | |
| dc.contributor.mitauthor | Eze, Ngozi A | |
| dc.contributor.mitauthor | Lin, Ching-Wei | |
| dc.contributor.mitauthor | Kataria, Swati | |
| dc.contributor.mitauthor | Hammond, Paula T | |
| dc.contributor.mitauthor | Belcher, Angela M | |
| dc.relation.journal | Scientific Reports | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Dang, Xiangnan; Bardhan, Neelkanth M.; Qi, Jifa; Gu, Li; Eze, Ngozi A.; Lin, Ching-Wei; Kataria, Swati; Hammond, Paula T.; Belcher, Angela M. | en_US |
| dspace.embargo.terms | N | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0002-4343-4007 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-7530-4725 | |
| dc.identifier.orcid | https://orcid.org/0000-0001-5646-1007 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-4171-3547 | |
| dc.identifier.orcid | https://orcid.org/0000-0001-9353-7453 | |
| mit.license | PUBLISHER_CC | en_US |