Advancements in Fluorescence Micro-Optical Sectioning Tomography with Acousto-Optical Deflector-Based Confocal Scheme

Fluorescent labeling techniques have revolutionized our ability to study neural circuits in the brain, offering insights into their distribution and wiring for specific functions. A fluorescence micro-optical sectioning tomography system has been developed for brain-wide imaging, providing a voxel resolution of 1μm for a whole-mouse brain. This system combines mechanical sectioning with confocal imaging and employs an acousto-optical deflector (AOD) scanner-based confocal detection scheme. The optical considerations, including confocal detection influence, imaging site during sectioning, and AOD fast scan mode impact on signal-to-background noise ratio, are thoroughly analyzed. By integrating mechanical and optical sectioning, background suppression is maximized, enhancing the system’s imaging performance.

Neural circuits serve as the foundation for understanding brain functions and diseases, necessitating advanced imaging methods for studying brain structures across various spatial scales. While magnetic resonance imaging (MRI) offers whole-brain observations, its resolution is inadequate for visualizing single neurons. Electron microscopes provide high resolution but pose challenges for imaging entire mammalian brains. Optical imaging techniques, such as confocal and two-photon microscopy, offer submicron resolution suitable for neural wiring studies but face limitations in imaging depth. To address this, mechanical sectioning strategies combined with advanced imaging technologies have been developed to achieve high-resolution brain imaging.

Fluorescent labeling combined with genetic manipulation techniques enables targeted visualization of specific neural circuits, facilitating the study of brain-wide projections and connectivity. A fluorescence micro-optical sectioning tomography system, based on the MOST technique, allows consistent micron-level resolution imaging of resin-embedded mouse brains. By tracing brain-wide axonal projections, this system aids in mapping fluorescently labeled neural circuits. The system incorporates confocal detection with an AOD scanner for stable and high signal-to-noise ratio (SNR) imaging. The use of confocal detection, coupled with mechanical sectioning, significantly enhances background suppression, crucial for effective imaging of neural circuits.

The proposed imaging system involves confocal imaging over a microtome knife, where the sample strips are separated from the bulk sample to minimize fluorescence background. A confocal slit assists in limiting the detection volume, reducing background fluorescence and improving SNR. Through simulation modeling, the impact of confocal detection and physical separation on background suppression is elucidated, emphasizing the necessity of combining these approaches for optimal imaging results. The system’s high-speed imaging capabilities are achieved through an inertia-free AOD scanner operating in a high-frequency chirp mode, with astigmatism correction using a cylindrical lens for submicron lateral resolution.

By integrating confocal imaging with mechanical sectioning and optimizing the AOD scanner’s performance, the fluorescence micro-optical sectioning tomography system offers a powerful tool for studying brain-wide neural circuits with enhanced imaging quality. Future enhancements may involve exploring additional methods to reduce background fluorescence, such as coating diamond knives or sample preparation techniques. These advancements underscore the importance of innovative imaging technologies in advancing our understanding of neural circuitry and brain functions.

Key Takeaways:
– Fluorescent labeling techniques revolutionize the study of neural circuits in the brain.
– Integration of mechanical sectioning and confocal imaging enhances background suppression.
– Inertia-free AOD scanner and astigmatism correction ensure high-resolution brain imaging.
– Future developments may focus on reducing background fluorescence for improved imaging quality.

Read more on pmc.ncbi.nlm.nih.gov