SSNOMBACTER: A collection of scattering-type scanning near-field optical microscopy and atomic force microscopy images of bacterial cells Article Swipe
Massimiliano Lucidi
,
Denis E. Tranca
,
Lorenzo Nichele
,
Devrim Ünay
,
George A. Stanciu
,
Paolo Visca
,
Alina Maria Holban
,
Radu Hristu
,
Gabriella Cincotti
,
Stefan G. Stanciu
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1093/gigascience/giaa129
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1093/gigascience/giaa129
Background In 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. Results In 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. Conclusions The 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.
Related Topics
Concepts
Near-field scanning optical microscope
Microscopy
Nanotechnology
Context (archaeology)
Computer science
Optics
Data science
Optical microscope
Materials science
Physics
Scanning electron microscope
Geography
Archaeology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/gigascience/giaa129
- OA Status
- gold
- Cited By
- 21
- References
- 116
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3110249994
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3110249994Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/gigascience/giaa129Digital Object Identifier
- Title
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SSNOMBACTER: A collection of scattering-type scanning near-field optical microscopy and atomic force microscopy images of bacterial cellsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-11-01Full publication date if available
- Authors
-
Massimiliano Lucidi, Denis E. Tranca, Lorenzo Nichele, Devrim Ünay, George A. Stanciu, Paolo Visca, Alina Maria Holban, Radu Hristu, Gabriella Cincotti, Stefan G. StanciuList of authors in order
- Landing page
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https://doi.org/10.1093/gigascience/giaa129Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1093/gigascience/giaa129Direct OA link when available
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Near-field scanning optical microscope, Microscopy, Nanotechnology, Context (archaeology), Computer science, Optics, Data science, Optical microscope, Materials science, Physics, Scanning electron microscope, Geography, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
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21Total citation count in OpenAlex
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2025: 2, 2024: 7, 2023: 5, 2022: 5, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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116Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.resolution, | 90 |
| abstract_inverted_index.techniques, | 44 |
| abstract_inverted_index.topographic | 168 |
| abstract_inverted_index.Furthermore, | 189 |
| abstract_inverted_index.SSNOMBACTER, | 137 |
| abstract_inverted_index.accelerating | 183 |
| abstract_inverted_index.applications | 230 |
| abstract_inverted_index.availability | 57 |
| abstract_inverted_index.benchmarking | 201 |
| abstract_inverted_index.demonstrated | 78 |
| abstract_inverted_index.applications, | 54 |
| abstract_inverted_index.understanding | 25 |
| abstract_inverted_index.aforementioned | 129 |
| abstract_inverted_index.scattering-type | 69 |
| abstract_inverted_index.antibiotic-resistant | 35 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 93 |
| corresponding_author_ids | https://openalex.org/A5037841440, https://openalex.org/A5077669891 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I119003972, https://openalex.org/I61641377 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/12 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Responsible consumption and production |
| citation_normalized_percentile.value | 0.74761084 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |