Abstract
Rapid and high-resolution imaging of large tissues is essential in biological research, like brain neuron connectivity research and cancer margins imaging. Here a novel stage-scanning confocal microscopy was developed for rapid imaging of large tissues. Line scanning methods and strip imaging strategy were used to increase the imaging speed. The scientific CMOS was used as line detector in sub-array mode and the optical sectioning ability can be easily adjusted by changing the number of line detectors according to different samples. Fluorescent beads imaging showed resolutions of 0.47 μm, 0.56 μm, and 1.56 μm in the X, Y, and Z directions, respectively, with a 40 × objective lens. A 10 × 10 mm(2) coronal plane with enough signal intensity could be imaged in about 88 sec at a sampling resolution of 0.16 μm/pixel. Rapid imaging of mouse brain slices demonstrated the applicability of this system in visualizing neuronal details at high frame rate.
Highlights
Rapid and high resolution imaging of large tissues can provide vital structure information and aid further study in a short period of time
Rapid and high-resolution imaging of large tissues is essential in biological research, like brain neuron connectivity research and cancer margins imaging
A novel stage-scanning confocal microscopy was developed for rapid imaging of large tissues
Summary
Rapid and high resolution imaging of large tissues can provide vital structure information and aid further study in a short period of time. Researchers want to study the structure of neurons for understanding the function of neuron circuit. Combined with fluorescence labelling technology, they can study the specified functional circuit. To acquire the entire neural structure, sub-micron resolution on a centimeter scale is needed for imaging system. Because of the individual difference and numbers of brain areas, lots of samples are needed to study in order to get statistical results. There is an urgent need for the development of a high-speed imaging system with high-resolution
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