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Aberration Correction to Optimize the Performance of Two-Photon Fluorescence Microscopy Using the Genetic Algorithm.

Wei Yan¹, Yangrui Huang¹, Luwei Wang¹

¹Center for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen518060, China.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada

|January 25, 2022

Summary

Adaptive optics using a genetic algorithm corrects wavefront distortions to enhance two-photon fluorescence microscopy (TPFM) performance. This improves signal intensity, imaging depth, and accuracy in biomedical photonics applications.

Keywords:

adaptive optics genetic algorithm optical aberration two-photon microscopy

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Area of Science:

Biomedical photonics
Microscopy
Optical engineering

Background:

Two-photon fluorescence microscopy (TPFM) is crucial for deep tissue imaging due to reduced light scattering and improved signal-to-noise ratio.
Optical aberrations significantly degrade TPFM performance, limiting imaging depth and signal intensity, thus restricting its applications.

Purpose of the Study:

To introduce and validate an adaptive optics system utilizing a genetic algorithm for aberration correction in TPFM.
To optimize TPFM performance by mitigating wavefront distortions of the excitation laser beam.

Main Methods:

Implemented adaptive optics with a spatial light modulator for wavefront control.
Employed a genetic algorithm with a signal feedback loop and natural selection principles to determine the optimal correction phase.
Applied the corrected system to two-photon fluorescence lifetime imaging.

Main Results:

Demonstrated significant improvements in signal intensity and imaging depth of TPFM after aberration correction.
Enhanced the signal-to-noise ratio and accuracy of lifetime analysis in two-photon fluorescence lifetime imaging.
Validated the broad applicability of the method for other advanced microscopy techniques.

Conclusions:

Genetic algorithm-based adaptive optics effectively corrects aberrations in TPFM, enhancing imaging capabilities.
The developed method offers a robust solution for improving deep tissue imaging and quantitative analysis in various microscopy modalities.
This approach has the potential to advance research in biomedical photonics and super-resolution imaging.