Full-automatic microscope control system based on camera

Abstract

The invention discloses a full-automatic microscope control system based on a camera. The full-automatic microscope control system comprises a CCD camera, a line-frame separation module, a line synchronization module, a frame synchronization module, a video signal module, a bandpass filter, an A / D converter, a microcontroller module, a CPLD module and a stepping motor, wherein the CCD camera is connected with the microcontroller module through the video signal module, the bandpass filter and the A / D converter in sequence, the microcontroller module is connected with the stepping motor through the CPLD module, the output end of the stepping motor is connected with the input end of the CCD camera, the CCD camera is further connected with the line-frame separation module, and the line-frame separation module is connected with the microcontroller module through line synchronization and frame synchronization respectively.

Description

technical field [0001] The present invention relates to a microscope control system, in particular to a camera-based fully automatic microscope control system; [0002] The utility model belongs to the field of microscope automatic control. Background technique [0003] Microscopes are widely used in various fields and are a common optical instrument. The development of instrument automation and intelligence has put forward higher requirements for the degree of automation of the microscope, and there is an urgent need for fully automatic control of the microscope system in applications. The core part of the automatic control microscope system is the autofocus technology, so how to effectively realize the autofocus of the microscope has become a key issue to improve the performance of the microanalysis system and realize high-precision measurement. [0004] Microscope focusing methods can be divided into two categories: one is laser confocal method [1]. It uses the laser b...

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Problems solved by technology

This method is complex and difficult to implement

Another method is to achieve automatic focusing through the sharpness and edge characteristics of the focal plane image and the non-focal plane image [2], such as using the absolute variance function, the plane differential square sum function, the gray gradient operator function, the gray scale Evaluation functions such as difference method, energy spectrum function, wavelet transform, Roberts operator, Laplacian operator, etc. This method requires high hardware processing speed, so its further development has certain limitations

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