Modeling the Depth Resolution of Translucent Layers in Confocal Microscopy.

Area of Science:

• Optical microscopy
• Materials science
• Computational imaging

Background:

• Confocal microscopy enables non-destructive through-plane imaging.
• Depth resolution degrades below sample surfaces, limiting applications.
• Quantifying this resolution decay is crucial for accurate analysis.

Purpose of the Study:

• To introduce a computational model for calculating axial resolution, its decay, and attenuation coefficient.
• To benchmark the model using a confocal Raman microscope with various polymers and objectives.
• To provide an open-source algorithm for improved confocal microscopy image analysis.

Main Methods:

• Utilizing a single through-plane scan of translucent layers.
• Fitting the point spread function at sample interfaces.
• Extracting resolution at interfaces and the attenuation coefficient.

Main Results:

• The model accurately calculates axial resolution decay and attenuation coefficients.
• Robust performance observed on various, including multilayered, translucent samples.
• Benchmarking confirmed model validity with different polymers and immersion media.

Conclusions:

• The developed model offers an accessible method to quantify confocal microscopy depth resolution.
• This tool enhances image analysis in diverse scientific fields.
• Open-source availability promotes wider adoption and application.