ReviewBiomedical optics express2025
Review of dynamic optical coherence tomography for intracellular motility: signals, metrics, and their applications [Invited].
Review in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Dynamic speckle, reduced extinction, and multiple scattering in holographic optical coherence imaging.Biomedical optics express · 2026Article
- Erratum: Review of dynamic optical coherence tomography for intracellular motility [Invited]: errata.Biomedical optics express · 2026Article
- High-speed full-field swept-source dynamic optical coherence tomography enabled by neural-network-based image generation.Biomedical optics express · 2026Article
- Imaging of Tissue and Cell Dynamics: introduction to the feature issue.Biomedical optics express · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
Dynamic optical coherence tomography (dOCT) is a group of techniques primarily applied to visualize intracellular motility within tissue biopsies and cultures as it relates to changes in cell viability, status, and stiffness. Here, we provide an overview of variance-based, autocorrelation-based, and spectral algorithms commonly applied to different types of dOCT signals, how the metrics extracted using these algorithms relate to the underlying intracellular motion, and review how they have been employed in dOCT applications. Detailed guidance is provided for selecting or developing metrics and algorithms to use, depending on the OCT hardware and biological motions of interest.
Identifiers
What Socratic holds
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 Socratic graph.