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Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

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Updated: May 29, 2026

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Maximizing fluorescence collection efficiency in multiphoton microscopy.

Joseph P Zinter¹, Michael J Levene

¹Department of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.

|September 22, 2011

Summary

This summary is machine-generated.

Optimizing fluorescence collection in multiphoton microscopy significantly improves deep tissue imaging. New designs enhance signal collection by 50-90%, enabling clearer visualization of neural structures in mouse cortex.

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Conducting Multiple Imaging Modes with One Fluorescence Microscope

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

Area of Science:

Biomedical Optics
Microscopy Engineering
Neuroimaging

Background:

Deep tissue imaging with multiphoton microscopy is limited by scattering and signal loss.
Efficient fluorescence collection is crucial for high-performance deep imaging systems.

Purpose of the Study:

To develop and validate an optimized post-objective fluorescence collection system for multiphoton microscopy.
To improve signal collection efficiency for deep tissue imaging applications.

Main Methods:

Simulated fluorescence propagation through optical models of scattering tissue and a microscope objective.
Utilized spatio-angular fluorescence distribution at the objective back aperture for system design.
Employed Monte Carlo simulations and experimental tissue phantoms for validation.

Main Results:

Designed a maximally efficient post-objective fluorescence collection system.
Achieved 50%-90% improvement in collection efficiency compared to conventional methods at large depths.
Successfully imaged layer V neurons in mouse cortex to a depth of 850 μm.

Conclusions:

The developed collection system enhances fluorescence signal capture in deep scattering tissues.
This optimization significantly boosts imaging performance and depth penetration in multiphoton microscopy.
The findings are critical for advancing high-resolution deep tissue and neural imaging.