🤖 AI Summary
This work addresses the challenge of uncontrolled motion in sub-millimeter biological specimens levitated under contactless acoustic conditions during optical diffraction tomography (ODT), which necessitates accurate estimation of sample rotation from image data. The study introduces, for the first time, the Ewald sphere intersection method—specifically, the “common circle” approach in Fourier space—into acoustically levitated ODT, augmented with temporal consistency constraints to enable stable estimation of rotational dynamics. By circumventing the high computational cost associated with conventional full-optimization motion estimation, the proposed method achieves both efficiency and reconstruction robustness. Its effectiveness is validated through simulations and real experimental data, demonstrating a computationally efficient and reliable solution for dynamic ODT scenarios involving freely moving samples.
📝 Abstract
We investigate the application of the common circle method for estimating sample motion in optical diffraction tomography (ODT) of sub-millimeter sized biological tissue. When samples are confined via contact-free acoustical force fields, their motion must be estimated from the captured images. The common circle method identifies intersections of Ewald spheres in Fourier space to determine rotational motion. This paper presents a practical implementation, incorporating temporal consistency constraints to achieve stable reconstructions. Our results on both simulated and real-world data demonstrate that the common circle method provides a computationally efficient alternative to full optimization methods for motion detection.