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We are analyzing https://link.springer.com/article/10.1186/s12859-015-0457-8.

Title:
SFMetrics: an analysis tool for scanning force microscopy images of biomolecules | BMC Bioinformatics
Description:
Background Scanning force microscopy (SFM) allows direct, rapid and high-resolution visualization of single molecular complexes; irregular shapes and differences in sizes are immediately revealed by the scanning tip in three-dimensional images. However, high-throughput analysis of SFM data is limited by the lack of versatile software tools accessible to SFM users. Most existing SFM software tools are aimed at broad general use: from material-surface analysis to visualization of biomolecules. Results We present SFMetrics as a metrology toolbox for SFM, specifically aimed at biomolecules like DNA and proteins, which features (a) semi-automatic high-throughput analysis of individual molecules; (b) ease of use working within MATLAB environment or as a stand-alone application; (c) compatibility with MultiMode (Bruker), NanoWizard (JPK instruments), Asylum (Asylum research), ASCII, and TIFF files, that can be adjusted with minor modifications to other formats. Conclusion Assembled in a single user interface, SFMetrics serves as a semi-automatic analysis tool capable of measuring several geometrical properties (length, volume and angles) from DNA and protein complexes, but is also applicable to other samples with irregular shapes.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Science
  • Graphic Design
  • Education

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

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Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {💸}

We're unsure how the site profits.

Not every website is profit-driven; some are created to spread information or serve as an online presence. Websites can be made for many reasons. This could be one of them. Link.springer.com could be secretly minting cash, but we can't detect the process.

Keywords {🔍}

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Topics {✒️}

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Questions {❓}

  • RAD50, an SMC family member with multiple roles in DNA break repair: how does ATP affect function?

Schema {🗺️}

WebPage:
      mainEntity:
         headline:SFMetrics: an analysis tool for scanning force microscopy images of biomolecules
         description:Scanning force microscopy (SFM) allows direct, rapid and high-resolution visualization of single molecular complexes; irregular shapes and differences in sizes are immediately revealed by the scanning tip in three-dimensional images. However, high-throughput analysis of SFM data is limited by the lack of versatile software tools accessible to SFM users. Most existing SFM software tools are aimed at broad general use: from material-surface analysis to visualization of biomolecules. We present SFMetrics as a metrology toolbox for SFM, specifically aimed at biomolecules like DNA and proteins, which features (a) semi-automatic high-throughput analysis of individual molecules; (b) ease of use working within MATLAB environment or as a stand-alone application; (c) compatibility with MultiMode (Bruker), NanoWizard (JPK instruments), Asylum (Asylum research), ASCII, and TIFF files, that can be adjusted with minor modifications to other formats. Assembled in a single user interface, SFMetrics serves as a semi-automatic analysis tool capable of measuring several geometrical properties (length, volume and angles) from DNA and protein complexes, but is also applicable to other samples with irregular shapes.
         datePublished:2015-01-28T00:00:00Z
         dateModified:2015-01-28T00:00:00Z
         pageStart:1
         pageEnd:9
         license:http://creativecommons.org/publicdomain/zero/1.0/
         sameAs:https://doi.org/10.1186/s12859-015-0457-8
         keywords:
            Edge Detection Algorithm
            Scan Force Microscopy
            Asylum Research
            Nucleoprotein Filament
            Irregular Object
            Bioinformatics
            Microarrays
            Computational Biology/Bioinformatics
            Computer Appl. in Life Sciences
            Algorithms
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               name:Humberto Sánchez
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      headline:SFMetrics: an analysis tool for scanning force microscopy images of biomolecules
      description:Scanning force microscopy (SFM) allows direct, rapid and high-resolution visualization of single molecular complexes; irregular shapes and differences in sizes are immediately revealed by the scanning tip in three-dimensional images. However, high-throughput analysis of SFM data is limited by the lack of versatile software tools accessible to SFM users. Most existing SFM software tools are aimed at broad general use: from material-surface analysis to visualization of biomolecules. We present SFMetrics as a metrology toolbox for SFM, specifically aimed at biomolecules like DNA and proteins, which features (a) semi-automatic high-throughput analysis of individual molecules; (b) ease of use working within MATLAB environment or as a stand-alone application; (c) compatibility with MultiMode (Bruker), NanoWizard (JPK instruments), Asylum (Asylum research), ASCII, and TIFF files, that can be adjusted with minor modifications to other formats. Assembled in a single user interface, SFMetrics serves as a semi-automatic analysis tool capable of measuring several geometrical properties (length, volume and angles) from DNA and protein complexes, but is also applicable to other samples with irregular shapes.
      datePublished:2015-01-28T00:00:00Z
      dateModified:2015-01-28T00:00:00Z
      pageStart:1
      pageEnd:9
      license:http://creativecommons.org/publicdomain/zero/1.0/
      sameAs:https://doi.org/10.1186/s12859-015-0457-8
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         Edge Detection Algorithm
         Scan Force Microscopy
         Asylum Research
         Nucleoprotein Filament
         Irregular Object
         Bioinformatics
         Microarrays
         Computational Biology/Bioinformatics
         Computer Appl. in Life Sciences
         Algorithms
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         name:Department of Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
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      name:Claire Wyman
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            name:Erasmus University Medical Center
            address:
               name:Department of Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
               type:PostalAddress
            type:Organization
            name:Erasmus University Medical Center
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               name:Department of Radiation Oncology, Erasmus University Medical Center, Rotterdam, The Netherlands
               type:PostalAddress
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PostalAddress:
      name:Department of Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
      name:Department of Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
      name:Department of Radiation Oncology, Erasmus University Medical Center, Rotterdam, The Netherlands

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