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Video-rate Raman-based metabolic imaging by Airy light-sheet illumination and photon-sparse detection .

Authors :
Dunn, Lochlann
Haokun Luo
Subedi, Nava R.
Kasu, Ramachandran
McDonald, Armando G.
Christodoulides, Demetrios N.
Vasdekis, Andreas E.
Source :
Proceedings of the National Academy of Sciences of the United States of America; 2/28/2023, Vol. 120 Issue 9, p1-9, 33p
Publication Year :
2023

Abstract

Despite its massive potential, Raman imaging represents just a modest fraction of all research and clinical microscopy to date. This is due to the ultralow Raman scattering cross-sections of most biomolecules that impose low-light or photon-sparse conditions. Bioimaging under such conditions is suboptimal, as it either results in ultralow frame rates or requires increased levels of irradiance. Here, we overcome this tradeoff by introducing Raman imaging that operates at both video rates and 1,000-fold lower irradiance than state-of-the-art methods. To accomplish this, we deployed a judicially designed Airy light-sheet microscope to efficiently image large specimen regions. Further, we implemented subphoton per pixel image acquisition and reconstruction to confront issues arising from photon sparsity at just millisecond integrations. We demonstrate the versatility of our approach by imaging a variety of samples, including the three-dimensional (3D) metabolic activity of single microbial cells and the underlying cell-to-cell variability. To image such small-scale targets, we again harnessed photon sparsity to increase magnification without a field-of-view penalty, thus, overcoming another key limitation in modern light-sheet microscopy [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
120
Issue :
9
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
162148683
Full Text :
https://doi.org/10.1073/pnas.2210037120