Three-dimensional random-access confocal microscopy with 3D remote focusing system
Understanding biological activities in cells or deep tissues requires high-speed three-dimensional (3D) imaging. Substantial progress has been made with the emergence of 3D random-access microscopy. However, current solutions for fast 3D random-access imaging remain complex and costly. Herein we propose a simple, cost-effective, and fast 3D random-access confocal microscopy with remote focusing system. Our system shows isotropic response times across the x, y, and z axes, with a 34-fold improvement in axial response time over traditional piezo stages. We demonstrate its volumetric imaging performance with fluorescent particles and live cells. Furthermore, we validate the 3D random-access imaging capability of this system by continuously monitoring the signals in three different planes, showing a refresh rate of 500 Hz on two different positions in 3D. The simplicity, versatility, and affordability of our system promise widespread applications in research and industry.
Authors
- Yandong Sun (ORCID: https://orcid.org/0000-0003-4491-208X)
- Suhui Deng (ORCID: https://orcid.org/0000-0003-3527-6093)
- Shangguo Hou (ORCID: https://orcid.org/0000-0001-6394-6467)
- Yue Hu (ORCID: https://orcid.org/0000-0002-9384-424X)
- Quan Lu (ORCID: https://orcid.org/0000-0001-8575-4247)
- Lehui Xiao (ORCID: https://orcid.org/0000-0003-0522-2342)
- Dongping Zhong (ORCID: https://orcid.org/0000-0001-9381-8992)
- Haoyang Li (ORCID: https://orcid.org/0000-0002-0494-299X)
- Wenbo Zhang (ORCID: https://orcid.org/0000-0002-0866-6902)
- Zhong Wang (ORCID: https://orcid.org/0000-0002-9387-2339)
- Yu Wu (ORCID: https://orcid.org/0009-0009-5520-0783)
Institutions
- University of Science and Technology of China (CN)
- Central South University (CN)
- Nanchang University (CN)
- Shanghai Jiao Tong University (CN)
- Harbin Institute of Technology (CN)
- Shenzhen Bay Laboratory (CN)
Publication Details
- Journal
- Communications Engineering
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1038/s44172-024-00320-2
- Citations
- 7
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.24
Funders
- National Natural Science Foundation of China
- Shenzhen Bay Laboratory
- Basic and Applied Basic Research Foundation of Guangdong Province