Nano‐Infrared Imaging and Spectroscopy of Animal Cells in Liquid Environment

Infrared nano‐spectroscopy (nano‐IR) using scattering‐type near‐field optical microscopy (s‐SNOM) is becoming an important tool for analyzing vibrational spectra in nanometer‐scale volumes of intact samples. Recent s‐SNOM experiments using ultrathin membranes have enabled nanoscopy of cells and biomolecules in liquid environments. This study reports the use of SiC membranes as a stable, biocompatible interface between cells in their medium and the atomic force microscopy (AFM) probe of the s‐SNOM, ensuring broadband nano‐IR experiments above 1050 cm −1 . Nano‐IR images and spectra are collected from fibroblast cells grown adherently to confluence on the membranes using a broadband synchrotron IR source, probing the membrane‐adjacent cellular region. Optimized tip‐sample interaction allows to significantly increase the signal‐to‐noise‐ratio in nano‐IR imaging. The alteration of the tapping amplitude and set‐point of the AFM cantilever allows to adjust the probing depth and suggests a nano‐IR tomography approach that uses a single demodulation harmonic of the signal. The nano‐IR spectra of fibroblast cells resemble their far‐field spectra, but reflect a heterogeneity in the composition and structure of proteins, nucleic acids, carbohydrates, and of membrane lipid organization. The results demonstrate nano‐IR probing of complex samples in liquid media and suggest ways to improve efficiency and standardization of existing approaches in vibrational nanoscopy.

Publication Details

Journal
edoc Publication server (Humboldt University of Berlin)
Published
2025-10-14
DOI
https://doi.org/10.18452/36548
Primary Topic
Near-Field Optical Microscopy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nano‐Infrared Imaging and Spectroscopy of Animal Cells in Liquid Environment

edoc Publication server (Humboldt University of Berlin)
Near-Field Optical Microscopy
article

Nano‐Infrared Imaging and Spectroscopy of Animal Cells in Liquid Environment

article en

Abstract

Infrared nano‐spectroscopy (nano‐IR) using scattering‐type near‐field optical microscopy (s‐SNOM) is becoming an important tool for analyzing vibrational spectra in nanometer‐scale volumes of intact samples. Recent s‐SNOM experiments using ultrathin membranes have enabled nanoscopy of cells and biomolecules in liquid environments. This study reports the use of SiC membranes as a stable, biocompatible interface between cells in their medium and the atomic force microscopy (AFM) probe of the s‐SNOM, ensuring broadband nano‐IR experiments above 1050 cm −1 . Nano‐IR images and spectra are collected from fibroblast cells grown adherently to confluence on the membranes using a broadband synchrotron IR source, probing the membrane‐adjacent cellular region. Optimized tip‐sample interaction allows to significantly increase the signal‐to‐noise‐ratio in nano‐IR imaging. The alteration of the tapping amplitude and set‐point of the AFM cantilever allows to adjust the probing depth and suggests a nano‐IR tomography approach that uses a single demodulation harmonic of the signal. The nano‐IR spectra of fibroblast cells resemble their far‐field spectra, but reflect a heterogeneity in the composition and structure of proteins, nucleic acids, carbohydrates, and of membrane lipid organization. The results demonstrate nano‐IR probing of complex samples in liquid media and suggest ways to improve efficiency and standardization of existing approaches in vibrational nanoscopy.

edoc Publication server (Humboldt University of Berlin)
Openalex Percentile: Top 36%
Near-Field Optical Microscopy
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.