Work

Event-guided microfluidic hologram deblurring via spatial-frequency learning

Year: 2025

Type: article

Abstract: Microfluidic holographic imaging plays a vital role in particle analysis and biomedical applications, yet suffers from motion blur in high-speed moving targets that degrades reconstruction quality. However, conventional deblurring methods designed for macro-scale imaging fail to handle the unique high-frequency patterns of fringe-rich holograms. To address this, here we present an event-guided spatial-frequency learning approach, simultaneously exploiting the event sensor's high temporal resolution and the spectral similarity between event frames and clear holograms. Specifically, we develop an event-guided dual-domain adaptive fusion network (EDAF-Net) that integrates a frequency-domain branch to recover lost fringe patterns and a spatial-domain branch to preserve structural integrity. The framework further incorporates a dual-domain fusion module to preserve spectral fidelity and spatial accuracy. Quantitative evaluations demonstrate EDAF-Net's superior performance in high-frequency fringe recovery over state-of-the-art methods, while maintaining the lowest overall model complexity and computational burden in the comparison. Experimental validation using standardized microspheres and human red blood cells confirms the method's effectiveness for quantitative particle analysis and flow cytometry applications.

Source: Optics Express

DOI: 10.1364/oe.581633

Authors: Dunhong Huang, Jie Xu, Haixin Luo, Teng Wei, Jindong Tian

Institutions: Shenzhen University, Gannan Medical University

Language: English

Topic: Digital Holography and Microscopy

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,270

Funders: National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province