自适应光学                        
                
                                
                        
                            波前                        
                
                                
                        
                            波前传感器                        
                
                                
                        
                            光子学                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            变形镜                        
                
                                
                        
                            光学像差                        
                
                                
                        
                            光学                        
                
                                
                        
                            计算机视觉                        
                
                                
                        
                            光学工程                        
                
                                
                        
                            光学成像                        
                
                                
                        
                            人工智能                        
                
                                
                        
                            物理                        
                
                        
                    
            作者
            
                Neha Goel,Dinesh Ganotra            
         
                    
        
    
            
            标识
            
                                    DOI:10.1134/s1024856023700148
                                    
                                
                                 
         
        
                
            摘要
            
            Numerous fields, such as ophthalmology, optical communication, microscopy, and astronomy frequently utilize sensorless wavefront sensing (SLWS) technologies. SLWS technologies are very helpful in correcting wavefront aberrations without the use of dedicated sensors, Future real-time wavefront sensing technologies and algorithms will surely evolve toward sensorless possibilities. However, there are several challenges associated with aberration correction, including multiple image recording and analysis, noisy and insufficient data, data visualization, and system calibration. This study aims to provide an in-depth analysis of SLWS, including its applications, opportunities, challenges, and state-of-the-art techniques. The various SLWS algorithms are discussed, along with their benefits and drawbacks. The results of SLWS can be beneficial in applications where precise wavefront correction is essential for obtaining clear and detailed observations, such as in astronomical imaging or high-resolution microscopy.
         
            
 
                 
                
                    
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