Optical biomarker of metabolism for breast tumor diagnosis: Insights from subcellular dynamics
Zichen Yin, Shuwei Zhang, Bin He, Houpu Yang, Zhengyu Chen, Zhangwei, Hu, Yejiong Shi, Ruizhi Xue, Panqi Yang, Yuzhe Ying, Chengming Wang, Shu Wang, and Ping Xue

TL;DR
This paper introduces a novel optical imaging technique, APMD-FFOCT, that isolates and quantifies subcellular metabolic dynamics, providing a new biomarker for breast tumor grading and improving intraoperative diagnosis.
Contribution
The study develops and demonstrates APMD-FFOCT, a new method for decoupling metabolic signals from scatterer reflectivity in optical coherence tomography.
Findings
Enables imaging of subcellular metabolic dynamics during apoptosis
Identifies nucleus-to-cytoplasm dynamic ratio as a biomarker for breast tumor grading
Improves intraoperative tumor diagnosis accuracy
Abstract
Label-free metabolic dynamics contrast is highly appealing but difficult to achieve in biomedical imaging. Interference offers a highly sensitive mechanism for capturing the metabolic dynamics of the subcellular scatterers. However, traditional interference detection methods fail to isolate pure metabolic dynamics, as the dynamic signals are coupled with scatterer reflectivity and other uncontrollable imaging factors. Here, we demonstrate active phase modulation-assisted dynamic full-field optical coherence tomography (APMD-FFOCT) that decouples and quantifies the metabolic dynamics by adding a reference movement for all interferential scatterers. This novel technique enables imaging and dynamic analysis of subcellular structures along with their changes during the apoptotic process in tumor tissues. Furthermore, the nucleus-to-cytoplasm dynamic intensity ratio could serve as an optical…
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Taxonomy
TopicsMetabolomics and Mass Spectrometry Studies · Computational Drug Discovery Methods
