Volumetric chemical imaging by stimulated Raman projection microscopy and tomography
Xueli Chen,
Chi Zhang,
Peng Lin,
Kai-Chih Huang,
Jimin Liang,
Jie Tian and
Ji-Xin Cheng ()
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Xueli Chen: Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education & School of Life Science and Technology, Xidian University
Chi Zhang: Weldon School of Biomedical Engineering, Purdue University
Peng Lin: Weldon School of Biomedical Engineering, Purdue University
Kai-Chih Huang: Weldon School of Biomedical Engineering, Purdue University
Jimin Liang: Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education & School of Life Science and Technology, Xidian University
Jie Tian: Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education & School of Life Science and Technology, Xidian University
Ji-Xin Cheng: Weldon School of Biomedical Engineering, Purdue University
Nature Communications, 2017, vol. 8, issue 1, 1-12
Abstract:
Abstract Volumetric imaging allows global understanding of three-dimensional (3D) complex systems. Light-sheet fluorescence microscopy and optical projection tomography have been reported to image 3D volumes with high resolutions and at high speeds. Such methods, however, usually rely on fluorescent labels for chemical targeting, which could perturb the biological functionality in living systems. We demonstrate Bessel-beam-based stimulated Raman projection (SRP) microscopy and tomography for label-free volumetric chemical imaging. Our SRP microscope enables fast quantitation of chemicals in a 3D volume through a two-dimensional lateral scan. Furthermore, combining SRP and sample rotation, we demonstrate the SRP tomography that can reconstruct the 3D distribution of chemical compositions with optical spatial resolution at a higher speed than the Gaussian-beam-based stimulated Raman scattering sectioning imaging can. We explore the potential of our SRP technology by mapping polymer particles in 3D volumes and lipid droplets in adipose cells.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15117
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DOI: 10.1038/ncomms15117
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