Evidence map›Paper›PMID 34750511›Full record

ArticleScientific reports2021

Infrared-spectroscopic, dynamic near-field microscopy of living cells and nanoparticles in water.

Korbinian J Kaltenecker, Thorsten Gölz, Enrico Bau, Fritz Keilmann

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
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  4. Review
  5. Nano-Infrared Imaging and Spectroscopy of Animal Cells in Liquid Environment.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
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  12. In vitro investigation of protein assembly by combined microscopy and infrared spectroscopy at the nanometer scale.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Korbinian J KalteneckerFakultät für Physik, Nano Institute Munich & Center for NanoScience (CeNS), Ludwig-Maximilians-Universität, Königinstr. 10, 80539, Munich, Germany.ORCID 0000-0002-9831-6075
Thorsten GölzFakultät für Physik, Nano Institute Munich & Center for NanoScience (CeNS), Ludwig-Maximilians-Universität, Königinstr. 10, 80539, Munich, Germany.
Enrico BauFakultät für Physik, Nano Institute Munich & Center for NanoScience (CeNS), Ludwig-Maximilians-Universität, Königinstr. 10, 80539, Munich, Germany.
Fritz KeilmannFakultät für Physik, Nano Institute Munich & Center for NanoScience (CeNS), Ludwig-Maximilians-Universität, Königinstr. 10, 80539, Munich, Germany. fritz.keilmann@lmu.de.ORCID 0000-0001-8334-2310
Center for NanoScience · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infrared fingerprint spectra can reveal the chemical nature of materials down to 20-nm detail, far below the diffraction limit, when probed by scattering-type scanning near-field optical microscopy (s-SNOM). But this was impossible with living cells or aqueous processes as in corrosion, due to water-related absorption and tip contamination. Here, we demonstrate infrared s-SNOM of water-suspended objects by probing them through a 10-nm thick SiN membrane. This separator stretches freely over up to 250 µm, providing an upper, stable surface to the scanning tip, while its lower surface is in contact with the liquid and localises adhering objects. We present its proof-of-principle applicability in biology by observing simply drop-casted, living E. coli in nutrient medium, as well as living A549 cancer cells, as they divide, move and develop rich sub-cellular morphology and adhesion patterns, at 150 nm resolution. Their infrared spectra reveal the local abundances of water, proteins, and lipids within a depth of ca. 100 nm below the SiN membrane, as we verify by analysing well-defined, suspended polymer spheres and through model calculations. SiN-membrane based s-SNOM thus establishes a novel tool of live cell nano-imaging that returns structure, dynamics and chemical composition. This method should benefit the nanoscale analysis of any aqueous system, from physics to medicine.

Indexed as

NanoparticlesA549 CellsEscherichia coliHumansIntravital MicroscopyMicroscopyNanotechnologyOptical PhenomenaSilicon CompoundsSingle-Cell AnalysisSpectroscopy, Fourier Transform InfraredSpectroscopy, Near-InfraredWaterSilicon Compoundssilicon nitrideWater

Identifiers

PMID34750511
PMCPMC8576021
OpenAlexW3214139490

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.