Holographic visualization of neuronal volume images based on layered angular spectrum theory
Computer-generated holography (CGH) has undergone significant advancements in recent years. However, there are limited CGH methods designed for volume data. The realization of holographic visualization of volume image data with precise depth perception remains a challenging task. In this work, we propose a layered angular spectrum CGH method tailored for volume image data to achieve neuronal holographic visualization with accurate depth perception. The experimental results demonstrate that the proposed method enables holographic visualization of neuronal volume images with accurate depth perception. Moreover, we harness GPU parallel processing for hologram generation, achieving satisfactory temporal performance.
Authors
- Yimin Wang (ORCID: https://orcid.org/0000-0003-2515-6602)
- Ziqin Gao
Institutions
- Shanghai University (CN)
- Guangdong Polytechnic of Science and Technology (CN)
Publication Details
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1117/12.3038516
- Primary Topic
- Advanced Optical Imaging Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00