Multicolor fluorescence microscopic imaging system

Abstract

The invention provides a multicolor fluorescence microscopic imaging system. The multicolor fluorescence microscopic imaging system comprises an objective lens, a dichroscope, a convergent mirror, an achromatic relay lens group, a barrel lens, a beam splitter and a detector, wherein the exciting light is focused on an object to be detected through the convergent mirror and the dichroscope to excite fluorescence, and the fluorescence is collected through the objective lens, then is converged through the achromatic relay lens group and the barrel lens, enters the beam splitter to be subjected to beam splitting and is respectively imaged on the detector. On the basis of not increasing hardware required by the imaging system such as a detector and an objective lens, the imaging system is formed in a relatively simple mode, so that the information dimension in single acquisition or unit time is improved, and meanwhile, the imaging mode also has extremely high time resolution.

Description

technical field [0001] The invention relates to the technical field of multicolor microscopic imaging, in particular to a multicolor fluorescent microscopic imaging system. Background technique [0002] Multicolor fluorescence microscopy imaging utilizes the specific biological binding and selective stimulated emission spectra of fluorescent probes to obtain extremely high signal-to-noise ratio and spatial resolution, especially in biological microstructure imaging and high-throughput It has important applications in the field of bioinformatics detection. Due to the low quantum efficiency, low spatial resolution, and poor signal-to-noise ratio of existing color detectors, biological multispectral imaging mainly uses spectral separation to convert spectral information into spatial intensity distribution, and monochromatic detectors are used for multispectral imaging. spectral imaging. There are three main ways to achieve spectral separation: sequential switching of emission...

AI Technical Summary

Problems solved by technology

Due to the low quantum efficiency, low spatial resolution, and poor signal-to-noise ratio of existing color detectors, biological multispectral imaging mainly uses spectral separation to convert spectral information into spatial intensity distribution, and monochromatic detectors are used for multispectral imaging. spectral imaging

There are three main ways to achieve spectral separation: sequential switching of emission filters, prism or grating dispersion, and sequential dichroic beam splitting. These three spectral separation methods are respectively in sampling synchronization, spectral resolution, and device complexity. obvious flaws in

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