| Literature DB >> 33282486 |
Ibrahim Abd El-Sadek1, Arata Miyazawa1, Larina Tzu-Wei Shen2, Shuichi Makita1, Shinichi Fukuda3,4, Toshiharu Yamashita5, Yuki Oka6, Pradipta Mukherjee1, Satoshi Matsusaka2, Tetsuro Oshika3, Hideaki Kano6, Yoshiaki Yasuno1.
Abstract
We present optical coherence tomography (OCT)-based tissue dynamics imaging method to visualize and quantify tissue dynamics such as subcellular motion based on statistical analysis of rapid-time-sequence OCT signals at the same location. The analyses include logarithmic intensity variance (LIV) method and two types of OCT correlation decay speed analysis (OCDS). LIV is sensitive to the magnitude of the signal fluctuations, while OCDSs including early- and late-OCDS (OCDS e and OCDS l , respectively) are sensitive to the fast and slow tissue dynamics, respectively. These methods were able to visualize and quantify the longitudinal necrotic process of a human breast adenocarcinoma spheroid and its anti-cancer drug response. Additionally, the effects of the number of OCT signals and the total acquisition time on dynamics imaging are examined. Small number of OCT signals, e.g., five or nine suffice for dynamics imaging when the total acquisition time is suitably long.Entities:
Year: 2020 PMID: 33282486 PMCID: PMC7687946 DOI: 10.1364/BOE.404336
Source DB: PubMed Journal: Biomed Opt Express ISSN: 2156-7085 Impact factor: 3.732