Raman microscopy of cryofixed biological specimens for high-resolution and high-sensitivity chemical imaging

Raman microscopy is an emerging molecular imaging technology, yet its signal-to-noise ratio (SNR) in measurements of biological specimens is severely limited because of the small cross section of Raman scattering. Here, we present Raman imaging techniques of cryofixed specimens to overcome SNR limitations by enabling long exposure of specimens under highly stabilized low-temperature conditions. The observation of frozen specimens in a cryostat at a constant low temperature immediately after rapid freezing enabled the improvement of SNR and enhanced the spatial and spectral resolution. We also confirmed that the cryofixation can preserve physicochemical states of specimens by observing alkyne-labeled coenzyme Q in cytosol and hemeproteins in acute ischemic myocardium, which cannot be done by fixation using chemical reagents. Last, we applied the technique for multiplex Raman imaging of label-free endogenous molecules and alkyne-tagged molecules in cryofixed HeLa cells, demonstrating its capability of high-content imaging of complex biological phenomena while maintaining physiological conditions.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2024-12-11
DOI
https://doi.org/10.1126/sciadv.adn0110
Citations
19
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
12.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Raman microscopy of cryofixed biological specimens for high-resolution and high-sensitivity chemical imaging

Yoshinori Harada, Shoko Tamura, Katsumasa Fujita, Masahito Yamanaka et al.
19 citations
Science Advances
Spectroscopy Techniques in Biomedical and Chemical Research
12.58
article

Raman microscopy of cryofixed biological specimens for high-resolution and high-sensitivity chemical imaging

Yoshinori Harada, Shoko Tamura, Katsumasa Fujita, Masahito Yamanaka, Mikiko Sodeoka, Syusuke Egoshi, Nicholas I. Smith, Kentaro Mochizuki, Y Kumamoto, Menglu Li, Hideo Tanaka, Kosuke Dodo, Kenta Mizushima
article en
19 citations

Abstract

Raman microscopy is an emerging molecular imaging technology, yet its signal-to-noise ratio (SNR) in measurements of biological specimens is severely limited because of the small cross section of Raman scattering. Here, we present Raman imaging techniques of cryofixed specimens to overcome SNR limitations by enabling long exposure of specimens under highly stabilized low-temperature conditions. The observation of frozen specimens in a cryostat at a constant low temperature immediately after rapid freezing enabled the improvement of SNR and enhanced the spatial and spectral resolution. We also confirmed that the cryofixation can preserve physicochemical states of specimens by observing alkyne-labeled coenzyme Q in cytosol and hemeproteins in acute ischemic myocardium, which cannot be done by fixation using chemical reagents. Last, we applied the technique for multiplex Raman imaging of label-free endogenous molecules and alkyne-tagged molecules in cryofixed HeLa cells, demonstrating its capability of high-content imaging of complex biological phenomena while maintaining physiological conditions.

Science AdvancesVol. 10(50)
Kyoto Prefectural University of Medicine (JP), Kyoto College of Medical Science (JP), RIKEN Center for Sustainable Resource Science (JP), RIKEN (JP), Kyoto University of Advanced Science (JP), The University of Osaka (JP)
Openalex Percentile: Top 1%
Spectroscopy Techniques in Biomedical and Chemical Research
12.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.