Quality of biological images, reconstructed using localization microscopy data.

Area of Science:

• * Biophysics
• * Cell Biology
• * Microscopy

Background:

• * Fluorescence localization microscopy (FLSM) images subcellular structures with super-resolution.
• * FLSM precision depends on factors like pixel size, signal-noise ratio, and optical resolution.
• * Labeling density is crucial for reconstruction fidelity, but its combined effect with localization errors is understudied.

Purpose of the Study:

• * To analyze the impact of emitter density, localization precision, and rendered molecule size on 2D reconstruction fidelity in FLSM.
• * To quantify reconstruction fidelity using established image similarity metrics.
• * To investigate frequency-domain characteristics of reconstructed images and compare cut-off frequencies with sampling limits.

Main Methods:

• * Simulation-based analysis of 2D reconstruction processes in FLSM.
• * Quantification of reconstruction fidelity using image similarity measures.
• * Frequency-space analysis of reconstructed images.

Main Results:

• * Quantitative assessment of reconstruction fidelity based on labeling density and localization precision.
• * Analysis of image similarity metrics in frequency space.
• * Comparison of cut-off frequencies with sampling frequencies determined by labeling density.

Conclusions:

• * Provides quantitative insights into the combined effects of sampling and localization errors on FLSM image reconstruction.
• * Offers a framework for optimizing reconstruction protocols in FLSM.
• * Highlights the importance of labeling density and localization precision for accurate representation of biological structures.