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Imaging Cells and Tissues With Coherent Raman Scattering Microscopy

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Guest Editor

Dan Fu

Dan Fu

University of Washington

Dr. Dan Fu is an Assistant Professor of Chemistry at the University of Washington. He received his bachelor's degree from Peking University and his PhD degree from Princeton University.  For his PhD research under the supervision of Professor Warren Warren, Dr. Fu developed label-free multiphoton absorption microscopy methods and applied them towards biological imaging. In 2009, he worked as a postdoctoral associate at the George R. Harrison Spectroscopy Lab, led by the late Professor Michael Feld at Massachusetts Institute of Technology. In 2010, Dr. Fu moved to Harvard University to work with Professor Sunney Xie as a postdoctoral fellow. There, he developed multiplex stimulated Raman scattering microscopy and hyperspectral stimulated Raman scattering microscopy. Dr. Fu joined the faculty of the University of Washington in 2015. His main research interests are the development and applications of quantitative chemical imaging tools to study various pathophysiological processes of living biological specimens at single-cell resolution. He is a recipient of the Beckman Young Investigator Award, the NSF Career Award, the NIH MIRA Award, and the Eli Lilly Young Investigator Award.

Collection Overview

Coherent Raman scattering microscopy (CRM) visualizes molecules’ distribution with high spatial (<1 µm) and temporal resolution (~1 sec) in intact biological samples based on their intrinsic vibrational contrasts. The number of applications using CRM has increased significantly over the last two decades. There is a surge of interest in applying CRM to study lipid metabolism, cancer diagnosis, neurodegeneration, and drug transport. However, the technical barrier remains high for non-experts looking to use a coherent Raman microscope for bioimaging. Unlike commercial confocal fluorescence microscopes, many coherent Raman microscopes used to date still require custom configurations of lasers, microscopes, and detection systems. There are also no established standards in determining imaging performance. This collection of CRM methods aims to provide detailed guidance on best practices in using two major types of CRM – coherent anti-Stokes Raman scattering (CARS) microscopy and stimulated Raman scattering (SRS) microscopy.

Editorial

Coherent Raman Microscopy: From Instrumentation To Applications

Coherent Raman Microscopy: From Instrumentation To Applications

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2023

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<em>In vivo</em> Imaging of Biological Tissues with Combined Two-Photon Fluorescence and Stimulated Raman Scattering Microscopy
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