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25 - 30 January 2025
San Francisco, California, US
Conference 13305 > Paper 13305-3
Paper 13305-3

Neural network-based high-speed amplitude spectral dynamic optical coherence tomography

27 January 2025 • 10:45 AM - 11:00 AM PST | Moscone South, Room 203 (Level 2)

Abstract

Dynamic optical coherence tomography (DOCT) methods have been developed for tissue dynamics imaging. The amplitude-spectral (AS-) DOCT method, which evaluates intracellular motility utilizing the time-order information of many OCT frames for frequency analysis, suffers from slow imaging speed. To address this, a neural network (NN), which can extract time-order information and generate AS-DOCT images from only 16 OCT frames, is proposed. In validations using breast and colon cancer spheroids and zebrafish, the generated AS-OCT images showed high structural similarity to conventional AS-OCT images. The NN-based method significantly reduces the number of required OCT frames (96.9% reduction), enabling volumetric imaging in 26 s.

Presenter

Univ. of Tsukuba (Japan)
Presenter/Author
Univ. of Tsukuba (Japan)
Author
Univ. of Tsukuba (Japan), Damietta Univ. (Egypt)
Author
Univ. of Tsukuba (Japan)
Author
Univ. of Tsukuba (Japan)
Author
Univ. of Tsukuba (Japan)
Author
Univ. of Tsukuba (Japan)