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Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
Published on: August 22, 2019
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Removing striping artifacts in light-sheet fluorescence microscopy: a review.
Pietro Ricci1, Vladislav Gavryusev1, Caroline Müllenbroich2
1European Laboratory for Non-Linear Spectroscopy, Sesto Fiorentino, 50019, Italy; University of Florence, Department of Physics and Astronomy, Sesto Fiorentino, 50019, Italy.
Progress in Biophysics and Molecular Biology
|July 18, 2021
Summary
Light-sheet fluorescence microscopy (LSFM) offers advanced biological imaging. This study reviews methods to overcome LSFM
Area of Science:
- Biomedical Imaging
- Microscopy Techniques
- Optical Physics
Background:
- Light-sheet fluorescence microscopy (LSFM) is widely used for biological sample imaging.
- LSFM offers advantages like optical sectioning and reduced phototoxicity compared to point-scanning methods.
- LSFM illumination can cause unevenness and striping artifacts due to light absorption and scattering.
Purpose of the Study:
- To present and analyze various methods for correcting LSFM artifacts.
- To outline the advantages, performance, and limitations of different artifact correction techniques.
- To provide a comprehensive overview of solutions for improving LSFM image quality.
Main Methods:
- Review of existing optical and digital post-processing techniques for LSFM artifact correction.
- Analysis of the effectiveness of different methods in addressing uneven illumination and striping.
- Comparative assessment of artifact correction strategies.
Main Results:
- Various methods exist to mitigate LSFM artifacts, including optical and digital approaches.
- Each method has distinct advantages, performance characteristics, and limitations.
- Effective artifact correction is crucial for accurate LSFM data interpretation.
Conclusions:
- Several strategies effectively address LSFM-induced artifacts.
- The choice of method depends on specific experimental needs and limitations.
- Further research can optimize existing techniques and develop novel solutions for enhanced LSFM imaging.
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