Metering-level 3D super-depth-of-field microscopy system and detection method
An ultra-depth-of-field microscopy and metrology-level technology, which is applied in the direction of measuring devices, optical testing flaws/defects, instruments, etc., can solve the problems of decreased detection accuracy of light-colored samples, failure to display the true microscopic color of materials, and inability to implement effective detection, etc.
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Embodiment 1
[0074] The embodiment is basically like Figure 1 to Figure 5 Shown: This embodiment provides a metrology-level 3D ultra-depth-of-field microscopy detection method, which runs in a metrological-level 3D ultra-depth-of-field microscopy system, which includes an optical microscope 1, a spectral confocal sensor 2 or white light interference sensor, xyz axis electric displacement platform 3 and corresponding control module and PC processor 8; wherein the control module is connected to PC processor 8, and the control module includes an xyz electric control unit connected to xyz axis electric displacement platform 3 71. The spectral confocal processor 72 connected to the spectral confocal sensor 2 or the white light interference signal processor and the power supply module connected to the white light interference sensor; this embodiment provides the spectral confocal sensor 2 and the spectral confocal processor 72 as For example, the xyz-axis electric displacement platform 3 include...
Embodiment 2
[0133] This embodiment is basically the same as embodiment 1, and the difference is that: this embodiment takes the optical detection sensor as an example of a white light interference sensor, and compares the 3D point cloud model obtained by the white light interference sensor with the single-field superstructure obtained by the optical microscope 1. Take the depth-of-field plane image fusion process B as an example. The specific fusion method includes the following steps:
[0134] (1) Fix the xy-axis coordinate position of the xyz-axis electric displacement platform 3, adjust the height of the optical microscope 1z-axis, and reconstruct the single-field super-depth map of the object at this position; calculate the xy corresponding to each point of the image pixel on the single-field super-field map Actual coordinate position;
[0135] (2) The single-field super-depth-of-field picture is a rectangle. According to the size of the microscopic field of view, two diagonal corners of t...
Embodiment 3
[0137] Embodiment 3 is basically the same as embodiment 1, and the difference is that: this embodiment uses the xyz axis data of the 3D point cloud model obtained by the spectral confocal sensor 2 to replace the xyz axis data of the corresponding area optical microscope 3D model as an example. The fusion method includes the following steps:
[0138] (1) Perform step 1, step 2, step 3, and step 4 in the process of embodiment 1;
[0139] (2) Through the above process, the optical microscope 3D model and the spectral confocal sensor 2 scanning 3D model can be directly obtained. The optical microscope 3D model and the spectral confocal sensor 2 scanning model have the same starting point and ending point in the xy direction, and directly extract the spectrum. The confocal sensor 2 scans all data on the xyz axis of the model, and the xyz direction data is imported into the three-dimensional coordinates of the optical microscope 3D model to generate a new model, which is based on the mod...
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