DIGITAL IMPROVEMENT OF THE EXPERIMENT OF ABBE IMAGING PRINCIPLE AND SPATIAL-FILTERING BASED ON PYTHON LANGUAGE

This paper uses the Python language as a foundation to digitally improve the Abbe imaging principle and spatial filtering experiments. By simulating the imaging of light beams after passing through a grating in the spatial filtering experiment and undergoing Fourier transformation, and leveraging the advantages of digital improvement, it is possible to massproduce and personalize gratings and slits. By using a laser engraving machine to engrave the designed digital grating images, and placing the engraved grating patterns in the optical path of the Abbe imaging principle and spatial filtering experiments, personalized optical control patterns can be obtained.