Automated FF-OCT imaging for efficient and accurate analysis of 3D cell culture models
Traditional full-field optical coherence tomography (FF-OCT) systems face limitations in imaging efficiency and data redundancy, particularly when applied to complex biological samples. To address these issues, we developed an automated FF-OCT system that uses a variable resolution z-scanning strategy to dynamically adjust the voxel resolution of acquired images according to sample structures. The system was validated using 3D HepaRG cell cultures embedded in micro-hydrogels. To optimize imaging efficiency and minimize data redundancy, an in-air voxel resolution of 0.7×0.7×5µ<i>m</i><sup>3</sup> was applied to the region of interest (ROI) for detailed sample analysis, while a lower resolution of 1.4×1.4×10µ<i>m</i><sup>3</sup> was used in non-ROI areas. Compared to traditional equidistant acquisition methods, the variable resolution strategy reduced imaging time by over 20% and data storage requirements by more than 35%, with deviations in morphological parameters, including volume and surface area, kept below 1%. Robustness tests across multiple cell culture batches confirmed the system's reliability in accurately capturing complex biological structures. This study demonstrates a significant advancement in FF-OCT technology, providing a practical, high-efficiency, and high-precision solution for non-invasive imaging of complex biological samples.
Authors
- Chenyang Han
- Xu Chen (ORCID: https://orcid.org/0000-0002-8425-036X)
- Haizhou Liu (ORCID: https://orcid.org/0000-0003-4194-2566)
- Mingen Xu (ORCID: https://orcid.org/0000-0002-0421-0836)
- Ling Wang (ORCID: https://orcid.org/0000-0003-0300-0420)
Institutions
- Key Laboratory of Guangdong Province (CN)
Publication Details
- Journal
- Applied Optics
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1364/ao.559195
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Natural Science Foundation of Zhejiang Province