Evidence map›Paper›PMID 35302749›Full record

ArticleAnalytical chemistry2022

Looking Inside Non-Destructively: Label-Free, Raman-Based Visualization of Intracellular

Nancy Unger, Simone Eiserloh, Frauke Nowak, Sara Zuchantke, Elisabeth Liebler-Tenorio, Katharina Sobotta, Christiane Schnee, Christian Berens, Ute Neugebauer

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2022. 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
0.5field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  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

9 authors at 3 institutions in 1 country.

Nancy UngerCenter for Sepsis Control and Care, Jena University Hospital, 07747 Jena, Germany.
Simone EiserlohCenter for Sepsis Control and Care, Jena University Hospital, 07747 Jena, Germany.
Frauke NowakInstitute of Molecular Pathogenesis, Friedrich-Loeffler-Institut─Federal Research Institute for Animal Health (FLI), 07743 Jena, Germany.
Sara ZuchantkeInstitute of Molecular Pathogenesis, Friedrich-Loeffler-Institut─Federal Research Institute for Animal Health (FLI), 07743 Jena, Germany.
Elisabeth Liebler-TenorioInstitute of Molecular Pathogenesis, Friedrich-Loeffler-Institut─Federal Research Institute for Animal Health (FLI), 07743 Jena, Germany.
Katharina SobottaInstitute of Medical Microbiology, Jena University Hospital, 07747 Jena, Germany.
Christiane SchneeInstitute of Molecular Pathogenesis, Friedrich-Loeffler-Institut─Federal Research Institute for Animal Health (FLI), 07743 Jena, Germany.
Christian BerensInstitute of Molecular Pathogenesis, Friedrich-Loeffler-Institut─Federal Research Institute for Animal Health (FLI), 07743 Jena, Germany.
Ute NeugebauerCenter for Sepsis Control and Care, Jena University Hospital, 07747 Jena, Germany.ORCID 0000-0002-7593-6132
Friedrich-Loeffler-Institut · DELeibniz Institute of Photonic Technology · DEJena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The life cycle of intracellular pathogens is often complex and can include different morphoforms. Treatment of intracellular infections and unperturbed studying of the pathogen inside the host cell are frequently challenging. Here, we present a Raman-based, label-free, non-invasive, and non-destructive method to localize, visualize, and even quantify intracellular bacteria in 3D within intact host cells in a

Indexed as

Coxiella burnetiiHost-Pathogen InteractionsHumansVacuoles

Identifiers

PMID35302749
PMCPMC8974703
OpenAlexW4220827915

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.