A Doppler asymmetric spatial heterodyne (DASH) interferometer was designed to measure atmospheric winds at a height of 60 to 80 km by observing the airglow emission line of molecular oxygen at 867 nm. The designed monolithic DASH interferometer exhibited decent thermal stability. The phase thermal drift of the fabricated interferometer obtained from thermal performance measurements was 0.376 rad / ° C. To accurately model and minimize the thermal drift performance of an interferometer in the design phase, it is necessary to include the influence of thermal distortion of the monolithic interferometer components. Therefore, an optical–structural–thermal integrated analysis method based on Zernike polynomials was proposed to accurately calculate the phase thermal drift of the interferometer. The optical model modified by the finite-element method calculated the phase thermal drift to be 0.420 rad / ° C, which agreed with the experimental result within 11.7%. This analysis method can accurately calculate and optimize thermal stability during the design of a DASH interferometer.
Structured light 3D reconstruction technology has the advantages of non-contact, low cost and high reliability, and is widely used in industrial parts defect detection, cultural relics 3D digitization and other fields. As the core part of structured light, coding method is the key element to obtain 3D scene information, which directly affects the accuracy of 3D reconstruction. The combination of gray coding and phase shifting is a typical method for 3D shape measurement. However, due to the complexity of sinusoidal fringe calculation, and the fringe pattern boundary cannot be strictly aligned, there is a step change problem, which limits the application of this method in the field of real-time high-speed three-dimensional measurement. In this paper, the phase shift method of triangular wave and gray coding are combined to measure the 3D morphology. The triangular wave function only uses two raster images and the phase information can be obtained by simple intensity ratio calculation. The binary defocus technique can shorten the projection time, but it blurs the edge boundary of gray code and aggravates the step problem of reconstruction of object surface. In order to solve this problem, the complementary gray code whose fringe width is half of the sinusoidal fringe period is used to correct the period deviation. The experimental results show that the proposed method can reduce the number of fringe projection, simplify the calculation steps and shorten the time of data processing, so it is feasible.
Endoscopic imaging systems are widely used in non-invasive diagnosis of internal tissues in biomedical applications. The imaging clarity and resolution of current fiber-optic endoscopes is far less than that of electronic endoscopes. However, the electronic endoscope has the loss of information related to the principle of the three primary colors of image transmission, which makes the color reproduction ability poor. In order to solve this problem, this paper proposes a hyperspectral imaging system that combines acousto-optic tunable filter (AOTF) and fiber endoscope. The system can obtain images at any wavelengths and obtain spectral information of samples. The system eliminates the loss of information related to the three-color principle. In this paper, firstly, a hyperspectral imaging system based on fiber endoscope is designed, then we test the performance of the system by imaging the resolution target, and finally evaluates the imaging and spectral resolution of the system. The experimental results show that the hyperspectral imaging system based on fiber endoscope has greater advantages than a single fiber endoscope system. The imaging resolution and image contrast of the system have been further improved, and the spectral bandwidth is about several nanometers. Any filtering center wavelength in the visible light range can be quickly selected through random access or continuous tuning, which provides more auxiliary information and convenience for medical diagnosis. The additional spectral information increases the reliability of medical diagnosis based on the data provided by the fiber endoscope.
Acousto-optic tunable filters (AOTF) are widely used in hyperspectral imaging systems as filtering devices. It has the advantages of stable structure, fast tuning and high portability. This paper report the tuning of AOTF by controlling the incident angle and obtains the relationship between the angle of the incident light and the wavelength of the diffracted light. The characteristic of angular spectrum selection of AOTF was demonstrated experimentally. A spatial filter system of acousto-optic method is designed by combining AOTF and Fourier lens. The functions which enhance imaging contrast of the system are completed by a single AOTF device. Using this system the edge enhanced image of resolution target was acquired. Different from using a diaphragm for spatial filtering, this filtering method based on acousto-optic effects is continuously adjustable, real-time and stable, and provides a new idea for enhancing the contrast of optical images.
Acousto-optic tunable filter (AOTF) is a new type of light splitter with fast tuning, stable structure and portability. In this paper, a hyperspectral microscopic imaging system is constructed by combining non-collinear AOTF with optical inverted microscopy. The feasibility of data augmentation based on hyperspectral images for object detection of skin squamous cell carcinoma is studied. The hyperspectral images collected from unstained sections of skin squamous cell carcinoma are processed into dataset. At the same time, the mature open source object detection model is selected and trained for 20,000 times. Using the trained model to detect the lesion area of other unstained sections, it is found that the model trained by hyperspectral image dataset has a good ability to distinguish the non-lesion area, and there is no false detection. And the model has a relatively accurate detection ability for large lesion area, but the results of the model for small lesion area are not ideal. After analysis, it is considered that the number of samples can be increased firstly, especially in small lesions, and the same to the hyperspectral images. In addition, the model for lesion detection can be further optimized. By increasing the complexity of the model, the model can learn more details and information in the image during the training process. The preliminary results of the experiment prove that hyperspectral imaging is feasible for data augmentation of lesion object detection dataset. This paper provides a new method for the object detection data augmentation of skin squamous cell carcinoma.
The double filtering system based on single crystal acousto-optic tunable filter (AOTF) in order to improve spectral resolution and reduce side lobe is designed and demonstrated. The effects of single filtering and double filtering on AOTF performance are analyzed. Furthermore, the proposed double filtering technology has the characteristics of high speed, strong stability, flexible tuning, narrow bandwidth and multi-wavelength selection. In this experiment, the spectral bandwidth, side lobe and diffraction efficiency of single filtering and single crystal double filtering in visible range are measured. A double optical wedge compensator is set up at the exit of the double filtering experiment system to compensate the diffracted light drift caused by chromatic aberration. In conclusion, the experimental method of double filtering based on single crystal of tellurium dioxide is better than that of single filtering in spectral resolution and side lobe suppression.
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