A Further Leap of Biomedical Raman Imaging

Although the concept of Raman imaging was proposed many years ago, the evolution in ultrafast laser technologies, high-sensitivity detectors, and ultrafine optical components provided ways to boost the weak Raman signal so that we can fully utilize the power of Raman spectroscopy in microscopy analysis. 

Raman imaging has already been recognized as a new imaging modality in research fields that can compensate for the biological information lost in the observation using conventional techniques. The capability of detecting molecular vibrations in Raman microscopy has enabled label-free imaging of sample morphology in three-dimensional (3D) and comprehensive analysis of intrinsic molecules. These characteristics allow the investigation of untreated biological samples under physiological conditions, leading toward the realization of anticipated biomedical applications, such as intraoperative rapid diagnosis and tissue or cell qualification for regenerative medicine and drug discoveries. Raman microscopy provides unexplored spectroscopic insights into biological samples that attract scientists to invent new tools for biomedical studies.

Raman microscopy has brought new strategies for labeling molecules. Functional groups that exhibit Raman peaks in the so-called silent region can be used to label small molecules and observe them by Raman microscopy. Small molecules, such as nucleic acids, lipids, drugs, and so on, were not observable using fluorescent probes, which are typically larger than the targets. Furthermore, the narrow emission spectrum of a Raman tag has enabled super multiplex imaging of intracellular molecules or structures. The Raman tag technique expanded the toolkit for imaging molecules in biological samples.

Currently, we have several different tools for Raman imaging, but still need technology developments, especially improvements in sensitivity. Although there are many techniques for boosting the signal, detecting low concentration molecules (<100 µM) is difficult. Using surface-enhanced Raman scattering (SERS) would be a promising route to enhance sensitivity. However, the fluctuation of signal intensity and Raman peak positions hinders the expansion of applications. This issue might be solved by using the power of computation that is continuously being developed. Increased computational power also benefits the interpretation of complex Raman spectra from biological samples, and, for this purpose, it is necessary to build a reliable database of Raman spectra of biological samples in various layers, from molecules to tissues. The recent development of quantum cascade lasers has made it easy to perform infrared absorption imaging, which might be a solution for detecting low-concentration molecules using vibrational contrasts.

Another important issue in Raman microscopy is usability. Many studies using Raman spectroscopy or microscopy require professionals in spectroscopy for the operation of instruments and interpretation of spectra. The cost of Raman microscopes is relatively high (especially to buy or even build coherent Raman microscopes). Technology developments for low-cost Raman microscopes and improving usability, including development of spectral databases and spectrum analysis software, are important to enable biomedical Raman imaging to leap forward to become a standard tool in biomedical science and industry.

Katsumasa Fujita is a professor in the Department of Applied Physics at Osaka University, in Osaka, Japan. Direct correspondence to fujita@ap.eng.osaka-u.ac.jp