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Updated: Jan 16, 2026

Nano-fEM: Protein Localization Using Photo-activated Localization Microscopy and Electron Microscopy
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Nano-org, a functional resource for single-molecule localisation microscopy data.

S Shirgill1, D J Nieves1, J A Pike2,3,4

  • 1School of Infection, Inflammation and Immunology, School of Mathematics, Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, UK.

Nature Communications
|October 1, 2025
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Summary
This summary is machine-generated.

We developed nano-org, a searchable database of single-molecule localisation microscopy (SMLM) data. This resource aids in comparing protein nanoscale organization across experiments, advancing spatial nano-omics research.

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Area of Science:

  • Cellular Biology
  • Biophysics
  • Microscopy

Background:

  • Protein nanoscale organization is crucial for cellular functions like signaling and adhesion.
  • Single-molecule localisation microscopy (SMLM) provides high-resolution spatial data on protein distribution.
  • Comparing SMLM data across studies is difficult due to limited functional resources.

Purpose of the Study:

  • To create a publicly accessible, curated resource for SMLM data.
  • To enable comparative analysis of protein nanoscale organization.
  • To support the emerging field of spatial nano-omics.

Main Methods:

  • Development of the 'nano-org' database.
  • Inclusion of SMLM datasets detailing protein nanoscale distributions.
  • Implementation of a search function based on statistical similarity of datasets.

Main Results:

  • A publicly available, searchable resource named nano-org has been established.
  • The resource contains curated SMLM data on protein nanoscale organization.
  • Search functionality allows comparison of datasets based on statistical similarity.

Conclusions:

  • Nano-org facilitates the comparison of protein nanoscale architectures across different cellular contexts.
  • This resource supports research into protein organization and spatial nano-omics.
  • It addresses the challenge of data comparability in SMLM studies.