Evidence map›Paper›PMID 33231675›Full record

ArticleGigaScience2020

SSNOMBACTER: A collection of scattering-type scanning near-field optical microscopy and atomic force microscopy images of bacterial cells.

Massimiliano Lucidi, Denis E Tranca, Lorenzo Nichele, Devrim Ünay, George A Stanciu, Paolo Visca, Alina Maria Holban, Radu Hristu, Gabriella Cincotti, Stefan G Stanciu

Abstract read
In one paragraph

Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Quantitative imaging of individual bacterial cells:Journal of biomedical optics · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Expanding the microbiologist toolboxMicrobiology spectrum · 2024
    Article
  7. Article
  8. Review
  9. 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

10 authors.

Massimiliano LucidiUniversity Roma Tre, Department of Engineering, via Vito Volterra 62, Rome, 00146, Italy.
Denis E TrancaUniversity Politehnica of Bucharest, Center for Microscopy-Microanalysis and Information Processing, 313 Splaiul Independentei, Bucharest,060042, Romania.
Lorenzo NicheleUniversity Roma Tre, Department of Engineering, via Vito Volterra 62, Rome, 00146, Italy.
Devrim Ünayİzmir Democracy University, Faculty of Engineering, Electrical and Electronics Engineering, 14 Gürsel Aksel Bulvarı, İzmir, 35140, Turkey.
George A StanciuUniversity Politehnica of Bucharest, Center for Microscopy-Microanalysis and Information Processing, 313 Splaiul Independentei, Bucharest,060042, Romania.
Paolo ViscaUniversity Roma Tre, Department of Science, via Vito Volterra 62, Rome, 00146, Italy.
Alina Maria HolbanUniversity of Bucharest, Faculty of Biology, Department of Microbiology and Immunology, 1-3 Aleea Portocalelor, Bucharest, 060101, Romania.
Radu HristuUniversity Politehnica of Bucharest, Center for Microscopy-Microanalysis and Information Processing, 313 Splaiul Independentei, Bucharest,060042, Romania.
Gabriella CincottiUniversity Roma Tre, Department of Engineering, via Vito Volterra 62, Rome, 00146, Italy.
Stefan G StanciuUniversity Politehnica of Bucharest, Center for Microscopy-Microanalysis and Information Processing, 313 Splaiul Independentei, Bucharest,060042, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, a variety of imaging techniques operating at nanoscale resolution have been reported. These techniques have the potential to enrich our understanding of bacterial species relevant to human health, such as antibiotic-resistant pathogens. However, owing to the novelty of these techniques, their use is still confined to addressing very particular applications, and their availability is limited owing to associated costs and required expertise. Among these, scattering-type scanning near field optical microscopy (s-SNOM) has been demonstrated as a powerful tool for exploring important optical properties at nanoscale resolution, depending only on the size of a sharp tip. Despite its huge potential to resolve aspects that cannot be tackled otherwise, the penetration of s-SNOM into the life sciences is still proceeding at a slow pace for the aforementioned reasons.

resultsIn this work we introduce SSNOMBACTER, a set of s-SNOM images collected on 15 bacterial species. These come accompanied by registered Atomic Force Microscopy images, which are useful for placing nanoscale optical information in a relevant topographic context.

conclusionsThe proposed dataset aims to augment the popularity of s-SNOM and for accelerating its penetration in life sciences. Furthermore, we consider this dataset to be useful for the development and benchmarking of image analysis tools dedicated to s-SNOM imaging, which are scarce, despite the high need. In this latter context we discuss a series of image processing and analysis applications where SSNOMBACTER could be of help.

Indexed as

Image Processing, Computer-AssistedHumansMicroscopy, Atomic Forceatomic force microscopybacterial pathogensbioimagingdatasetscattering-type scanning near-field optical microscopy

Identifiers

PMID33231675
PMCPMC7684706

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.