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Related Experiment Video

Updated: May 21, 2026

Single Plane Illumination Module and Micro-capillary Approach for a Wide-field Microscope

Single Plane Illumination Module and Micro-capillary Approach for a Wide-field Microscope

Published on: August 15, 2014

Resolution of aplanatic solid immersion lens based microscopy.

Rui Chen¹, Krishna Agarwal, Colin J R Sheppard

¹Department of Electrical and Computer Engineering, National University of Singapore, Singapore.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|June 8, 2012

Summary

This summary is machine-generated.

This study investigates subsurface microscopy resolution using an aplanatic solid immersion lens. A new criterion accurately estimates resolution limits for improved subsurface imaging.

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Whole Mount Imaging to Visualize and Quantify Peripheral Lens Structure, Cell Morphology, and Organization

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Published on: January 19, 2024

Area of Science:

Optics and Photonics
Microscopy Techniques
Subsurface Imaging

Background:

Subsurface microscopy systems face challenges in achieving high resolution.
Aplanatic solid immersion lenses offer potential for enhanced optical performance.
Understanding resolution limits is crucial for accurate subsurface analysis.

Purpose of the Study:

To theoretically and numerically calculate the resolution limits of a subsurface microscopy system.
To investigate both lateral and longitudinal resolutions.
To propose and validate a new resolution criterion.

Main Methods:

Theoretical calculations of resolution limits.
Numerical simulations of dipole image resolution.
Analysis of the dyadic Green's function.
Comparison of theoretical criteria with simulated visual resolution.

Main Results:

Resolution limits were calculated under various criteria.
Simulated images of dipoles with different orientations were analyzed.
Lateral and longitudinal resolutions were explicitly studied.
A novel resolution criterion was proposed and validated.

Conclusions:

The proposed resolution criterion accurately estimates resolution limits in subsurface microscopy.
Detailed analysis of the dyadic Green's function explains observed resolution behaviors.
This work advances the understanding and capability of subsurface imaging systems.