2025/03/23 by Wei-Na Li, Yi Zhou, Li, Wei-Na +6
Computer Science · Engineering · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #Digital Holography and Microscopy #FOS: Computer and information sciences #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Object Detection Techniques #Image and Video Processing (eess.IV) #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2503.18038
openalex publication_date 2025/03/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose an autofocusing algorithm to obtain, relatively accurately, the 3D position of each particle, particularly its axial location, and particle number of a dense transparent particle solution via its hologram. First, morphological analyses and constrained intensity are used on raw reconstructed images to obtain information on candidate focused particles. Second, axial resolution is used to obtain the real focused particles. Based on the mean intensity and equivalent diameter of each candidate focused particle, all focused particles are eventually secured. Our proposed method can rapidly provide relatively accurate ground-truth axial positions to solve the autofocusing problem that occurs with dense particles.