Gradient reflection-based multi-layer signal coplanar parallel detection device

Abstract

The invention belongs to the technical field of optical signal detection, and discloses a gradient reflection-based multi-layer signal coplanar parallel detection device. The gradient reflection-basedmulti-layer signal coplanar parallel detection device comprises an optical signal source, which is used for generating multiple layers of optical signals having axial displacement difference, a remote focusing assembly which is used for focusing the multiple layers of optical signals and imaging in a remote position, an axial reflection compensation assembly which is located in the remote position and is used for carrying out axial displacement difference compensation on the multiple layers of optical signals and a plane-array detector which is used for detecting a coplanar optical signal formed by the multiple layers of optical signals after compensation, wherein the optical signal source, the remote focusing assembly and the axial reflection compensation assembly are sequentially arranged in the axial direction of the multiple layers of optical signals. According to the gradient reflection-based multi-layer signal coplanar parallel detection disclosed by the invention, the detectionefficiency of obtaining images of the sample in different axial positions by the detection device is improved.

Description

technical field [0001] The invention relates to the technical field of optical signal detection, in particular to a multi-layer signal coplanar parallel detection device based on gradient reflection. Background technique [0002] In the field of bioimaging, shallow imaging of surfaces is often used when imaging larger samples. The piezoelectric scanner drives the objective lens to move axially or the three-dimensional translation stage drives the sample to produce mechanical cutting to remove the imaged sample part. In this way, the detector sequentially detects the signals of different axial positions of the sample. However, when the volume of the imaging sample needs to be further increased, the acquisition time of the microscopic imaging system will be greatly extended. In addition, when detecting the instantaneous change process of living biological signals, the sequential imaging method cannot obtain a large volume of axial signals before the signal disappears. There...

AI Technical Summary

Problems solved by technology

However, when the volume of the imaging sample needs to be further increased, the acquisition time of the microscopic imaging system will be greatly extended

In addition, when detecting the instantaneous change process of living biological signals, the sequential imaging method cannot obtain a large volume of axial signals before the signal disappears

Images