Evidence map›Paper›PMID 40676006›Full record

ArticleScientific reports2025

Broadband time domain diffuse optical characterization of human cadaver bone from 500 to 1100 nm.

Suraj Kumar Kothuri, Danielle MacMahon, Pranav Lanka, Carrie O'Flynn, Patrick Henn, Stefan Andersson-Engels, Rekha Gautam, Sanathana Konugolu Venkata Sekar

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Suraj Kumar KothuriBiophotonics@Tyndall, IPIC, Tyndall National Institute, Lee Maltings Complex, Cork, Ireland. suraj.kothuri@tyndall.ie.
Danielle MacMahonSchool of Physics, University College Cork, College Road, Cork, Ireland.
Pranav LankaBiophotonics@Tyndall, IPIC, Tyndall National Institute, Lee Maltings Complex, Cork, Ireland.
Carrie O'FlynnASSERT Centre, College of Medicine and Health, University College Cork, Cork, Ireland.
Patrick HennASSERT Centre, College of Medicine and Health, University College Cork, Cork, Ireland.
Stefan Andersson-EngelsBiophotonics@Tyndall, IPIC, Tyndall National Institute, Lee Maltings Complex, Cork, Ireland.
Rekha GautamBiophotonics@Tyndall, IPIC, Tyndall National Institute, Lee Maltings Complex, Cork, Ireland.
Sanathana Konugolu Venkata SekarBiophotonics@Tyndall, IPIC, Tyndall National Institute, Lee Maltings Complex, Cork, Ireland.

Funding

Taighde Éireann - Research Ireland, formerly Science Foundation Ireland 18/EPSRC-CDT/3585; EP/S023321/1 ; SFI-12/RC/2276SFI/22/ RP-2TF/10293;
6 · The paper itself

Abstract

Bone is an integral component of the skeletal system, providing structural support and playing a crucial role in metabolic and pathological processes. Understanding its optical properties is essential for uncovering its structural heterogeneity and biochemical composition. However, the optical properties evaluation and biomarker decomposition is challenging due to its highly scattering nature. In this study, we present the optical characterization of fresh cadaveric human tibia bone from an 89-year-old female donor using Time-Domain Diffuse Optical Spectroscopy (TDDOS) technique. Absorption and reduced scattering spectra were obtained at three distinct locations of the tibia, revealing characteristic absorption peaks corresponding to key biomarkers such as oxy-haemoglobin (HbO

Indexed as

Bone and BonesTibiaAged, 80 and overBiomarkersCadaverCancellous BoneCollagenCortical BoneFemaleHumansLipidsSpectrum AnalysisBiomarkersCollagenLipidsCharacterizationHuman boneTime domain diffuse optical spectroscopy

Identifiers

PMID40676006
PMCPMC12271369

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.