Multiple-Particle Autofocusing Algorithm Using Axial Resolution and Morphological Analyses Based on Digital Holography
This addresses the autofocusing problem for dense particles in digital holography, offering a solution for applications like microscopy or fluid dynamics, but it appears incremental as it builds on existing techniques.
The paper tackles the problem of accurately determining 3D positions and counts of dense transparent particles from holograms by proposing an autofocusing algorithm that uses morphological analyses and axial resolution. The result is a method that rapidly provides relatively accurate ground-truth axial positions for dense particle solutions.
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.