Mapping light distribution in tissue by using MRI-detectable photosensitive liposomes
Name
Simon2023NatBiomedEng_accepted.pdf
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3.04 MB
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Author(s)
Simon, Jacob
Schwalm, Miriam
Morstein, Johannes
Trauner, Dirk
Jasanoff, Alan
Date Issued
December 22, 2022
Journal
Nature Biomedical Engineering
Publisher
Springer Science and Business Media LLC
Citation
Simon, J., Schwalm, M., Morstein, J. et al. Mapping light distribution in tissue by using MRI-detectable photosensitive liposomes. Nat. Biomed. Eng 7, 313–322 (2023).
Version
Author's final manuscript
Abstract
Characterizing sources and targets of illumination in living tissue is challenging. Here we show that spatial distributions of light in tissue can be mapped by using magnetic resonance imaging (MRI) in the presence of photosensitive nanoparticle probes. Each probe consists of a reservoir of paramagnetic molecules enclosed by a liposomal membrane incorporating photosensitive lipids. Incident light causes the photoisomerization of the lipids and alters hydrodynamic exchange across the membrane, thereby affecting longitudinal relaxation-weighted contrast in MRI. We injected the nanoparticles into the brains of live rats and used MRI to map responses to illumination profiles characteristic of widely used applications of photostimulation, photometry and phototherapy. The responses deviated from simple photon propagation models and revealed signatures of light
scattering and nonlinear responsiveness. Paramagnetic liposomal nanoparticles may enable MRI to map a broad range of optical phenomena in deep tissue and other opaque environments.
Subjects
Computer Science Applications
Biomedical Engineering
Medicine (miscellaneous)
Bioengineering
Biotechnology
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1038/s41551-022-00982-3
