Quantitative Super-resolution Imaging

Quantitative Super-Resolution Imaging is a methodological framework within super-resolution microscopy that enables the precise, objective measurement of nanoscale structural and molecular parameters by transforming stochastic localization or intensity data into statistically robust, quantifiable biological insights.

89

Publications

5.9K

Citations

564

Authors

241

Institutions

Publications per year

2017–2026

62

Authors

564

  1. RH
    Ricardo Henriques

    University College London, United Kingdom

    4 publications · 844 citations

    4

    h-index

  2. LA
    Lorenzo Albertazzi

    Eindhoven University of Technology, Netherlands

    4 publications · 113 citations

    4

    h-index

  3. PM
    Pedro M. Pereira

    MRC Laboratory for Molecular Cell Biology, United Kingdom

    4 publications · 844 citations

    4

    h-index

  4. JE
    Jan Ellenberg

    European Molecular Biology Laboratory, Germany

    3 publications · 530 citations

    3

    h-index

  5. MH
    Mike Heilemann

    Goethe University Frankfurt, Germany

    3 publications · 222 citations

    3

    h-index

1–5 of 564

Venues

  1. Nature Communications

    8 publications · 666 citations

    8

    h-index

  2. Scientific Reports

    5 publications · 200 citations

    5

    h-index

  3. Nature Methods

    5 publications · 1.8K citations

    5

    h-index

  4. Nano Letters

    4 publications · 164 citations

    4

    h-index

  5. Biophysical Journal

    3 publications · 75 citations

    3

    h-index

1–5