HiLo Optical Sectioning Algorithm Based on the Rolling Ball Method
Traditional structured illumination microscopy techniques still face issues such as complex hardware structures, high optical path costs, low efficiency of optical sectioning reconstruction algorithms, and long image acquisition times. To address these problems, this text designs and builds a high-speed portable three-dimensional optical sectioning microscopy system based on DMD and LED, which greatly simplifies the optical path structure and reduces hardware costs. Additionally, through in-depth analysis of traditional optical sectioning reconstruction algorithms, a HiLo optical sectioning reconstruction algorithm based on the rolling ball method (RB-HiLo) is proposed. Experimental results show that compared to the traditional RMS algorithm, this new algorithm improves image acquisition efficiency by 22.8%, enhances optical sectioning reconstruction efficiency by 20.7<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup>, and demonstrates lower background intensity, more effective deblurring, and higher signal-to-noise ratio in the reconstructed optical sectioning images as indicated by the normalized intensity distribution curves.
Authors
- Jianmin Jiang (ORCID: https://orcid.org/0000-0002-7576-3999)
- Jiang Liu (ORCID: https://orcid.org/0000-0002-0654-707X)
- Yuchuan Tao
- Rui Ma (ORCID: https://orcid.org/0009-0003-3238-3392)
Institutions
- Southwest University of Science and Technology (CN)
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/ichci63580.2024.10808023
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 0.00