Evidence map›Paper›PMID 42460370›Full record

ArticleBiomedical optics express2026

Spectroscopic correlation tomography (SpCT) for visualization of spatial correlations in volumetric OCT scans.

Erin C O'Kane, Robert E Highland, Venkataramana Thiriveedi, Lauren E Parker, Aleksandra Tata, Purushothama Rao Tata, Ravi Karra, Jatin Roper, David A Miller, Adam Wax

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Erin C O'KaneDepartment of Biomedical Engineering, Duke University, Durham, NC 27707, USA.ORCID https://orcid.org/0009-0007-6186-4688
Robert E HighlandDepartment of Biomedical Engineering, Duke University, Durham, NC 27707, USA.ORCID https://orcid.org/0009-0007-3468-3224
Venkataramana ThiriveediDivision of Gastroenterology, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA.
Lauren E ParkerDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC 27707, USA.
Aleksandra TataDepartment of Surgery, Surgical Sciences, Duke University School of Medicine, Durham, NC 27710, USA.
Purushothama Rao TataDepartments of Cell Biology and Medicine, Duke University School of Medicine, Durham, NC 27707, USA.
Ravi KarraDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC 27707, USA.
Jatin RoperDivision of Gastroenterology, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA.
David A MillerDepartment of Biomedical Engineering, Duke University, Durham, NC 27707, USA.ORCID https://orcid.org/0000-0002-1630-1233
Adam WaxDepartment of Biomedical Engineering, Duke University, Durham, NC 27707, USA.ORCID https://orcid.org/0000-0002-1827-5112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spectroscopic optical coherence tomography (SOCT) allows for the targeted analysis of cell nuclei due to their spectrally distinct scattering properties. SOCT has been explored for optical biopsy based on its ability to extract structural and spectroscopic properties of a sample without the need for labels. Using the dual-window method for SOCT, spatial correlations can be computed throughout volumetric scans and analyzed to determine the size of cell nuclei. Such analysis could enable quantitative visualization of tissue boundaries that appear homogenous in structural OCT images. Here, we present spectroscopic correlation tomography (SpCT), a technique for mapping spatial correlation measurements to a hue-saturation-value (HSV) color space to help visualize relative changes in spatial correlation throughout volumetric OCT samples. SpCT B-Scans and volumes of polystyrene bead samples with diameters 5.1 μm to 11.3 μm were acquired and scatterer sizes were quantified using a Gaussian mixture model, achieving size estimates within half-wavelength accuracy. 3T3 fibroblasts were imaged and analyzed via connected component analysis, producing strong agreement with scatterer size measured via confocal microscopy, thus validating our approach. Histology versus SpCT B-Scan comparisons were performed for human colon organoids, cardiac organoids, and human lung airway explant to demonstrate this technique's ability to identify varying degrees of nuclear morphology in different regions. SpCT volumes were used to objectively discriminate between control and

Identifiers

PMID42460370
PMCPMC13372379

What Socratic holds

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Registered trials

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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.