Lensless Shadow Imaging via Fusion of Phase Retrieval and Image Reconstruction from Correlations Algorithms
Document Type
Conference Proceeding
Publication Date
1-6-2025
Abstract
The recent global pandemic has served to intensify interest in analyzing microdroplets suspended in the air that can possibly carry pathogens thus demonstrating an airborne transmission mechanism with potentially devastating consequences. Although COVID-19 turned out to be not as virulent as some other diseases encountered in the past, the possibility of airborne transmission of diseases remains a substantial concern. In this paper the potential for an optical sensor to image airborne particles is investigated. The proposed sensor would use optical radiation to probe the atmosphere through a pinhole aperture. Simulations conducted as part of this research reveal that droplets of the diameter in the range of micrometers can be imaged using the proposed technique, thus potentially allowing for the content of the air to be characterized with regard to its droplet size distribution and density.
Source Publication
AIAA SCITECH 2025 Forum
Recommended Citation
Cain, S. C. (2025). Lensless Shadow Imaging via Fusion of Phase Retrieval and Image Reconstruction from Correlations Algorithms. AIAA SCITECH 2025 Forum, Session: Sensors, Instrumentation and Applications II. https://doi.org/10.2514/6.2025-1215
Comments
Conference Session: Sensors, Instrumentation and Applications II
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