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Updated: Mar 30, 2026

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
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Fast Optimized Cluster Algorithm for Localizations (FOCAL): a spatial cluster analysis for super-resolved microscopy.

A Mazouchi1, J N Milstein2

  • 1Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada.

Bioinformatics (Oxford, England)
|November 7, 2015
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Summary

We developed FOCAL, a fast grid-based clustering algorithm for single-molecule localization microscopy (SMLM) image analysis. FOCAL outperforms DBSCAN, offering efficient analysis and artifact filtering for cellular structures.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Microscopy

Background:

  • Single-molecule localization microscopy (SMLM) offers super-resolution imaging of cellular structures, generating large datasets.
  • Efficient image analysis software is crucial for interpreting SMLM data.
  • Existing methods like DBSCAN are computationally intensive and parameter-dependent.

Purpose of the Study:

  • To develop a faster and more efficient algorithm for SMLM image analysis.
  • To address limitations of current clustering techniques in handling SMLM data artifacts.
  • To introduce a novel method for filtering out-of-focus clusters.

Main Methods:

  • Developed FOCAL, a grid-based clustering algorithm with O(n) scaling.
  • Explicitly accounts for dominant artifacts in SMLM image reconstructions.
  • Assessed FOCAL and DBSCAN on experimental dSTORM and PALM data, and via simulation.

Main Results:

  • FOCAL demonstrates comparable or superior performance to DBSCAN in analyzing SMLM data.
  • FOCAL provides significantly faster analysis compared to DBSCAN.
  • FOCAL includes a novel approach for filtering out-of-focus clusters.

Conclusions:

  • FOCAL is an efficient and effective algorithm for SMLM image analysis.
  • The algorithm overcomes key limitations of existing methods.
  • FOCAL facilitates more accurate quantitative assessment of sub-cellular assemblies.