dc.contributor.author | Alexandrov, Sergey | |
dc.contributor.author | McNamara, Paul M. | |
dc.contributor.author | Das, Nandan | |
dc.contributor.author | Zhou, Yi | |
dc.contributor.author | Lynch, Gillian | |
dc.contributor.author | Hogan, Josh | |
dc.contributor.author | Leahy, Martin | |
dc.date.accessioned | 2019-09-24T10:09:08Z | |
dc.date.issued | 2019-09-16 | |
dc.identifier.citation | Alexandrov, Sergey, McNamara, Paul M., Das, Nandan, Zhou, Yi, Lynch, Gillian, Hogan, Josh, & Leahy, Martin. (2019). Spatial frequency domain correlation mapping optical coherence tomography for nanoscale structural characterization. Applied Physics Letters, 115(12), 121105. doi: 10.1063/1.5110459 | en_IE |
dc.identifier.issn | 1077-3118 | |
dc.identifier.uri | http://hdl.handle.net/10379/15457 | |
dc.description.abstract | Most of the fundamental pathological processes in living tissues exhibit changes at the nanoscale. Noninvasive, label-free detection of structural changes in biological samples pose a significant challenge to both researchers and healthcare professionals. It is highly desirable to be
able to resolve these structural changes, during physiological processes, both spatially and temporally. Modern nanoscopy largely requires
labeling, is limited to superficial 2D imaging, and is generally not suitable for in vivo applications. Furthermore, it is becoming increasingly
evident that 2D biology often does not translate into the real 3D situation. Here, we present a method, spatial frequency domain correlation
mapping optical coherence tomography (sf-cmOCT), for detection of depth resolved nanoscale structural changes noninvasively. Our
approach is based on detection and correlation of the depth resolved spectra of axial spatial frequencies of the object which are extremely
sensitive to structural alterations. The presented work describes the principles of this approach and demonstrates its feasibility by monitoring
internal structural changes within objects, including human skin in vivo. Structural changes can be visualized at each point in the sample in
space from a single image or over time using two or more images. These experimental results demonstrate possibilities for the study of nanoscale structural changes, without the need for biomarkers or labels. Thus, sf-cmOCT offers exciting and far-reaching opportunities for early
disease diagnosis and treatment response monitoring, as well as a myriad of applications for researchers. | en_IE |
dc.description.sponsorship | This project received funding from the European Union’s
Horizon 2020 research and innovation program under Grant
Agreement Nos. 761214 and 779960. The materials presented and
views expressed here are the responsibility of the author(s) only.
The EU Commission takes no responsibility for any use made of
the information set out.
Also, this work was supported by NUI Galway, Galway
University Foundation, the University of Limerick Foundation, the
National Biophotonics Imaging Platform (NBIP) Ireland funded
under the Higher Education Authority PRTLI Cycle 4 and co-funded
by the Irish Government and the European Union, Compact
Imaging, Inc., and Nandan Das received Government of Ireland
postdoctoral fellowship grant with project ID: GOIPD/2017/837.
Sergey Alexandrov, Paul M. McNamara, Josh Hogan, and
Martin Leahy have a financial interest in Compact Imaging, Inc.
The authors have no other relevant financial interest in this article
and no other potential conflicts of interest to disclose.
The acquisition of the in-vivo samples does not affect any
ethical, health, or privacy concerns and was performed according to
the ethical regulations and safety standards of the NUI Galway. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | AIP Publishing | en_IE |
dc.relation.ispartof | Applied Physics Letters | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Medical imaging | en_IE |
dc.subject | Computer simulation | en_IE |
dc.subject | Spatial dimensions | en_IE |
dc.subject | Depth profiling techniques | en_IE |
dc.subject | Tomography | en_IE |
dc.subject | Optical imaging | en_IE |
dc.subject | Angiography | en_IE |
dc.subject | Fourier optics | en_IE |
dc.subject | Photonics | en_IE |
dc.title | Spatial frequency domain correlation mapping optical coherence tomography for nanoscale structural characterization | en_IE |
dc.type | Article | en_IE |
dc.date.updated | 2019-09-23T16:19:50Z | |
dc.identifier.doi | 10.1063/1.5110459 | |
dc.local.publishedsource | https://doi.org/10.1063/1.5110459 | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.contributor.funder | Horizon 2020 | en_IE |
dc.contributor.funder | Galway University Foundation | en_IE |
dc.contributor.funder | University of Limerick Foundation | en_IE |
dc.contributor.funder | Irish Research Council | en_IE |
dc.internal.rssid | 17767879 | |
dc.local.contact | Sergey Alexandrov, School Of Physics, Nui Galway. - Email: sergey.alexandrov@nuigalway.ie | |
dc.local.copyrightchecked | APC paid for open access (email from author 25/09/2019) | |
dc.local.version | PUBLISHED | |
dcterms.project | info:eu-repo/grantAgreement/EC/H2020::RIA/761214/EU/NanoSTARS imaging for STEM cell therapy for arthritic joints/STARSTEM | en_IE |
dcterms.project | info:eu-repo/grantAgreement/EC/H2020::IA/779960/EU/IMaging-based CUSTOMised EYE diagnostics/IMCUSTOMEYE | en_IE |
nui.item.downloads | 236 | |