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Related Experiment Video

Updated: May 17, 2026

High-resolution Volume Imaging of Neurons by the Use of Fluorescence eXclusion Method and Dedicated Microfluidic Devices

High-resolution Volume Imaging of Neurons by the Use of Fluorescence eXclusion Method and Dedicated Microfluidic Devices

Published on: March 26, 2018

Fluorescence volume imaging with an axicon: simulation study based on scalar diffraction method.

Juanjuan Zheng¹, Yanlong Yang, Ming Lei

¹State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China.

|October 24, 2012

Summary

This summary is machine-generated.

This study introduces a simulation model for two-photon excitation fluorescence volume imaging (TPFVI) using Bessel beams. The model shows TPFVI can image deep in scattering media with a large field of view.

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Area of Science:

Optical Imaging
Biophysics
Microscopy

Background:

Two-photon excitation fluorescence volume imaging (TPFVI) systems require advanced optical techniques for deep tissue imaging.
Traditional imaging methods face limitations in achieving large depth of field and penetrating scattering media.

Purpose of the Study:

To develop and validate a simulation model for TPFVI systems utilizing Bessel beams generated by an axicon.
To assess the imaging capabilities of TPFVI in scattering media and its potential for large-scale volumetric imaging.

Main Methods:

Implementation of a slice-by-slice diffraction propagation model based on the angular spectrum method.
Simulation of the TPFVI process, including Bessel beam generation, fluorescence collection, and propagation through scattering media.
Analysis of the role of two-photon excitation and spatial filtering in signal suppression.

Main Results:

The Bessel beam's self-reconstruction property enables deep penetration into scattering media.
TPFVI can achieve volumetric imaging within a single raster scan, demonstrating a large depth of field.
Two-photon excitation effectively minimizes signals from Bessel beam side lobes, with spatial filtering offering further suppression.

Conclusions:

The proposed simulation method accurately models TPFVI, highlighting the advantages of Bessel beams for deep and large-volume imaging.
The findings provide a valuable tool for guiding the design and optimization of TPFVI systems.
TPFVI with Bessel beams shows significant potential for advanced biological and materials science imaging applications.