High-Precision Protein-Tracking With Interferometric Scattering Microscopy Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.3389/fcell.2020.590158
The mobility of proteins and lipids within the cell, sculpted oftentimes by the organization of the membrane, reveals a great wealth of information on the function and interaction of these molecules as well as the membrane itself. Single particle tracking has proven to be a vital tool to study the mobility of individual molecules and unravel details of their behavior. Interferometric scattering (iSCAT) microscopy is an emerging technique well-suited for visualizing the diffusion of gold nanoparticle-labeled membrane proteins to a spatial and temporal resolution beyond the means of traditional fluorescent labels. We discuss the applicability of interferometric single particle tracking (iSPT) microscopy to investigate the minutia in the motion of a protein through measurements visualizing the mobility of the epidermal growth factor receptor in various biological scenarios on the live cell.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fcell.2020.590158
- https://www.frontiersin.org/articles/10.3389/fcell.2020.590158/pdf
- OA Status
- gold
- Cited By
- 15
- References
- 113
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3046411363
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3046411363Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fcell.2020.590158Digital Object Identifier
- Title
-
High-Precision Protein-Tracking With Interferometric Scattering MicroscopyWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-02Full publication date if available
- Authors
-
Richard W. Taylor, Cornelia Holler, Reza Gholami Mahmoodabadi, Michelle Küppers, Houman Mirzaalian Dastjerdi, Vasily Zaburdaev, Alexandra Schambony, Vahid SandoghdarList of authors in order
- Landing page
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https://doi.org/10.3389/fcell.2020.590158Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fcell.2020.590158/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fcell.2020.590158/pdfDirect OA link when available
- Concepts
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Tracking (education), Microscopy, Particle (ecology), Interferometry, Biophysics, Scattering, Resolution (logic), Function (biology), Biological system, Nanotechnology, Chemistry, Materials science, Computer science, Physics, Optics, Cell biology, Biology, Artificial intelligence, Ecology, Psychology, PedagogyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 3, 2022: 6, 2021: 2, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
113Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.fluorescent | 89 |
| abstract_inverted_index.information | 22 |
| abstract_inverted_index.interaction | 27 |
| abstract_inverted_index.investigate | 103 |
| abstract_inverted_index.traditional | 88 |
| abstract_inverted_index.visualizing | 70, 114 |
| abstract_inverted_index.well-suited | 68 |
| abstract_inverted_index.measurements | 113 |
| abstract_inverted_index.organization | 13 |
| abstract_inverted_index.applicability | 94 |
| abstract_inverted_index.Interferometric | 60 |
| abstract_inverted_index.interferometric | 96 |
| abstract_inverted_index.nanoparticle-labeled | 75 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5072302145 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I181369854, https://openalex.org/I4210110240 |
| citation_normalized_percentile.value | 0.88501875 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |