Evidence map›Paper›PMID 41573115›Full record

ReviewQRB discovery2026

Infrared nanoscopy for subcellular chemical imaging.

Katerina Kanevche, David Joll Burr, Janina Drauschke, Jacek Kozuch, Carlos Baiz, Andreas Elsaesser, Joachim Heberle

Abstract readReview
In one paragraph

Review in QRB discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Katerina KanevcheDepartment of Chemistry, Princeton University, Princeton, NJ, USA.ORCID https://orcid.org/0000-0002-0651-3689
David Joll BurrDepartment of Physics, Experimental Biophysics and Space Sciences, Freie Universität Berlin, Berlin, Germany.
Janina DrauschkeDepartment of Physics, Experimental Biophysics and Space Sciences, Freie Universität Berlin, Berlin, Germany.
Jacek KozuchDepartment of Physics, Experimental Molecular Biophysics, Freie Universität Berlin, Berlin, Germany.
Carlos BaizDepartment of Chemistry, University of Texas at Austin, Austin, TX, USA.
Andreas ElsaesserDepartment of Physics, Experimental Biophysics and Space Sciences, Freie Universität Berlin, Berlin, Germany.
Joachim HeberleDepartment of Physics, Experimental Molecular Biophysics, Freie Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-6321-2615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infrared (IR) nanoscopy represents a collection of imaging and spectroscopy techniques capable of resolving IR absorption on the nanometer scale. Chemical specificity is leveraged from vibrational spectroscopy, while light-matter interactions are detected by observing perturbations in the optical near field with an atomic force microscopy probe. Therefore, imaging is wavelength independent and has a spatial resolution on the nanometer scale, well beyond the classical diffraction limit. In this perspective, we outline the recent biological applications of scattering type scanning near-field optical microscopy and nanoscale Fourier-transform IR spectroscopy. These techniques are uniquely suited to resolving subcellular ultrastructure from a variety of cell types, as well as studying biological processes such as metabolic activity on the single-cell level. Furthermore, this review describes recent technical advances in IR nanoscopy, and emerging machine learning supported approaches to sampling, signal enhancement, and data processing. This emphasizes that label-free IR nanoscopy holds significant potential for ongoing and future biological applications.

Indexed as

machine learningO-PTIRorganelle mappingsuper resolutionvibrational spectroscopy

Identifiers

PMID41573115
PMCPMC12823213

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.