研究目的
To develop a novel fiberscope system for fast, background-free fluorescence imaging in freely behaving mice, enabling high temporal resolution and efficient out-of-focus background rejection over a large field of view.
研究成果
The developed fiberscope system enables fast, background-free fluorescence imaging in freely behaving mice, with significant improvements in out-of-focus background rejection and temporal resolution. This tool facilitates high-contrast imaging of microvasculature and measurement of red blood cell velocity, demonstrating increased velocity in awake compared to anaesthetized mice. Future improvements could involve novel micro-objectives with higher NA and lower aberrations to enhance signal collection and resolution.
研究不足
The technique's signal is limited by strong aberrations from GRIN lenses and cross-talk in the image guide, leading to thicker optical sections than standard confocal microscopy. The maximum imaging depth demonstrated is about 120 μm, which may restrict imaging to superficial brain regions without further modifications.
1:Experimental Design and Method Selection
The study employed a custom-made multipoint-scanning confocal microscope coupled with an image guide and a micro-objective for in vivo imaging. The technique involved simultaneous acquisition of multipoint-scanning confocal and conventional widefield images to subtract residual out-of-focus background.
2:Sample Selection and Data Sources
Six male C57BL/6JRj mice were used for in vivo fluorescence imaging of cortical microvasculature following retro-orbital sinus injection of rhodamine dextran.
3:List of Experimental Equipment and Materials
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4:Experimental Procedures and Operational Workflow
The fiberscope system was used to image microvasculature in anaesthetized and awake mice, with images acquired at speeds up to 200 Hz. Differential multipoint-scanning confocal imaging was performed to achieve background-free images.
5:Data Analysis Methods
Data analysis included computation of differential multipoint-scanning confocal images, evaluation of imaging contrast, and measurement of red blood cell velocity using Radon-transform algorithms.
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