Imaging neural events in zebrafish larvae with linear structured illumination light sheet fluorescence microscopy

Area of Science:

• Biophotonics and Imaging Science
• Neuroscience Research Tools
• Zebrafish Model Organisms

Background:

• Light sheet fluorescence microscopy (LSFM) is crucial for live imaging in model organisms like zebrafish.
• Image quality in LSFM is often limited by scattering and refractive index variations, leading to low contrast.
• Structured illumination (SI) techniques have been employed with LSFM to mitigate out-of-focus light.

Purpose of the Study:

• To evaluate the efficacy of linear reconstruction SI combined with LSFM for enhancing image quality.
• To compare the performance of linear reconstruction SI against the conventional root-mean square (RMS) reconstruction method.
• To demonstrate the application of this improved imaging technique for visualizing neural activity in zebrafish larvae.

Main Methods:

• Implementation of linear reconstruction structured illumination (SI) with scanned light sheet fluorescence microscopy (LSFM).
• Utilizing square-law detection principles for structured illumination.
• Acquisition of two-dimensional neural activity data in 7-day postfertilization zebrafish larvae.

Main Results:

• Linear reconstruction SI significantly increased resolution and contrast in vertical and axial directions compared to RMS reconstruction.
• The enhanced imaging approach maintained high effective frame rates (7 frames per second).
• Successful two-color imaging of the central nervous system in zebrafish was achieved.

Conclusions:

• Linear reconstruction SI offers superior performance over RMS reconstruction for LSFM imaging.
• This advanced LSFM technique provides improved contrast and resolution for studying biological samples.
• The method is effective for high-speed, detailed neural activity imaging in zebrafish models.