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.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1117/12.3038516
Primary Topic
Advanced Optical Imaging Technologies
Type
article
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article

Holographic visualization of neuronal volume images based on layered angular spectrum theory

Yimin Wang, Ziqin Gao
Advanced Optical Imaging Technologies
article

Holographic visualization of neuronal volume images based on layered angular spectrum theory

Yimin Wang, Ziqin Gao
article en

Abstract

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.

Shanghai University (CN), Guangdong Polytechnic of Science and Technology (CN)
Openalex Percentile: Top 77%
Advanced Optical Imaging Technologies
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