ArticleBiomedical optics express2025
Guide to dynamic OCT data analysis.
Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Label-free candidate dOCM biomarkers associated with blastocyst quality using total cell count as a proxy.Biomedical optics express · 2026Article
- Sensitivity Enhancement of Dynamic Full-Field Optical Coherence Tomography Using Ratio-Free Detection and Partial-Field Illumination for Retinal Organoid Imaging.Bioengineering (Basel, Switzerland) · 2026Article
- Physics-informed deep learning enables reliable and scalable organoid quantification for drug screening via OCT.NPJ digital medicine · 2026Article
- High-speed full-field swept-source dynamic optical coherence tomography enabled by neural-network-based image generation.Biomedical optics express · 2026Article
- Dynamic full-field swept-source optical coherence tomography for high-resolution, long-depth, and intratissue-activity imaging.Biomedical optics express · 2026Article
- Circumferential multi-contrast mapping of the aqueous outflow pathway in human eyes facilitated by circular-scan optical coherence tomography angiography.Biomedical optics express · 2026Article
- Imaging of Tissue and Cell Dynamics: introduction to the feature issue.Biomedical optics express · 2026Article
- Dynamic optical coherence tomography algorithm for label-free assessment of swiftness and occupancy of intratissue moving scatterers.Biomedical optics express · 2026Article
- Guide to dynamic OCT data analysis.Biomedical optics express · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dynamic optical coherence tomography (DOCT) enhances conventional OCT by providing specific information related to flow dynamics, cell motility, and organelle metabolic activity. These biological phenomena can be detected with varying sensitivity depending on the OCT architecture parameters, including wavelength, numerical aperture, and implementation method (time domain or Fourier domain). Despite its potential, the field lacks standardization as various research groups have independently developed algorithms for specific applications. In this paper, we compare four widely used DOCT algorithms, each employing a distinct analytical approach: power spectral density moment analysis, frequency band visualization, logarithmic intensity variation evaluation, and motility-based analysis. These algorithms were originally optimized for different OCT technologies (full-field OCT, microscopic OCT, swept-source OCT, and spectral domain OCT), which vary in temporal and spatial resolution as well as susceptibility to motion artifacts. To conduct a fair evaluation, we perform comprehensive cross-wise comparisons using datasets acquired from each of these setups. Our findings reveal that each method exhibits unique advantages in specific imaging environments, thereby providing valuable guidance for algorithm selection based on particular application requirements.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.