Interactive zoom display in a smartphone-based digital holographic microscope for 3D imaging

被引:0
|
作者
Nagahama, Yuki [1 ]
机构
[1] Tokyo Univ Agr & Technol, Inst Engn, 2-24-16 Naka Cho, Tokyo 1848588, Japan
基金
日本学术振兴会;
关键词
COMPACT; CELL; DYNAMICS;
D O I
10.1364/AO.532972
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Digital holography has applications in bio-imaging because it can simultaneously obtain the amplitude and phase information of a microscopic sample in a single shot, thus facilitating non-contact, noninvasive observation of the 3D shape of transparent objects (phase objects, which can be mapped with the phase information) and moving objects. The combination of digital holography and microscopy is called digital holographic microscopy (DHM). In this study, we propose a smartphone-based DHM system for 3D imaging that is compact, inexpensive, and capable of observing objects in real time; this system includes an optical system comprising a 3D printer using commercially available image sensors and semiconductor lasers; further, an Android-based application is used to reconstruct the holograms acquired by this optical system, thus outlining the amplitude and phase information of the observed object. Additionally, by utilizing scalable diffraction calculation methods and touchscreen interaction, we implemented zoom functionality through pinch-in gestures. The study results showed that the DHM system successfully obtained the amplitude and phase information of the observed object via the acquired holograms in an almost real-time manner. Thus, this study showed that it is possible to construct a low-cost and compact DHM system that includes a 3D printer to construct the optical system and a smartphone application to reconstruct the holograms. Furthermore, this smartphone-based DHM system's ability to capture, reconstruct, and display holograms in real time demonstrates its superiority and novelty, to the best of our knowledge, over existing systems. This system is also expected to contribute to biology fieldwork and pathological diagnosis in remote areas. (c) 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.
引用
收藏
页码:6623 / 6627
页数:5
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