Open AccessVersatile optimization-based speed-up method for autofocusing in digital holographic microscopy
Author(s) -
Julianna Winnik,
Damian Suski,
Piotr Zdańkowski,
Luiza Stanaszek,
Vicente Micó,
Maciej Trusiak
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.438496
Subject(s) - focus (optics) , computer science , optics , digital holographic microscopy , holography , interpolation (computer graphics) , digital holography , position (finance) , autofocus , algorithm , computer vision , physics , motion (physics) , finance , economics
We propose a speed-up method for the in-focus plane detection in digital holographic microscopy that can be applied to a broad class of autofocusing algorithms that involve repetitive propagation of an object wave to various axial locations to decide the in-focus position. The classical autofocusing algorithms apply a uniform search strategy, i.e., they probe multiple, uniformly distributed axial locations, which leads to heavy computational overhead. Our method substantially reduces the computational load, without sacrificing the accuracy, by skillfully selecting the next location to investigate, which results in a decreased total number of probed propagation distances. This is achieved by applying the golden selection search with parabolic interpolation, which is the gold standard for tackling single-variable optimization problems. The proposed approach is successfully applied to three diverse autofocusing cases, providing up to 136-fold speed-up.