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Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

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Edge roughness analysis in nanoscale for single-molecule localization microscopy images.

Uidon Jeong¹, Ga-Eun Go¹, Dokyung Jeong¹

¹Department of Chemistry, Hanyang University, Seoul 04763, Republic of Korea.

Nanophotonics (Berlin, Germany)

|December 5, 2024

Summary

New computational methods analyze nanoscale edge structures in super-resolution microscopy images. This technique enhances understanding of biological and nonbiological materials, advancing nanostructure analysis beyond protein clusters.

Keywords:

cell membrane roughness edge roughness analysis line edge roughness power spectral density semiconductor single-molecule localization microscopy

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Area of Science:

Nanotechnology
Biophysics
Materials Science

Background:

Super-resolution microscopy, including single-molecule localization microscopy (SMLM), reveals nanoscale details in biological and nonbiological materials.
Existing computational analysis for SMLM images is primarily limited to protein cluster analysis.
There is a growing need for advanced computational methods to analyze diverse nanostructures in SMLM data.

Purpose of the Study:

To develop and validate a novel edge structure analysis method for pointillistic SMLM images.
To extend nanostructure analysis capabilities beyond protein clusters to edge features.
To provide quantitative insights into nanoscale edge structures.

Main Methods:

Developed an edge structure analysis method utilizing line edge roughness and power spectral density analyses.
Investigated the impact of SMLM image properties (size, density, localization precision) on roughness measurements.
Applied the developed method to experimental SMLM images of semiconductor patterns, cytoskeletal elements, and cell membranes.

Main Results:

Successfully demonstrated the edge structure analysis method on experimental SMLM data.
Quantified the influence of localization rendering parameters on edge roughness measurements.
Established optimal rendering parameter ranges for preserving nanoscale structural information.

Conclusions:

The developed edge structure analysis method offers a new approach for quantitative investigation of nanoscale edge features in SMLM images.
This method expands the scope of SMLM data analysis to include detailed edge characterization.
The findings provide valuable insights into nanoscale structures previously inaccessible to quantitative analysis, benefiting fields from materials science to cell biology.