Evidence map›Paper›PMID 33462441›Full record

ArticleNature protocols2021

Characterization of connective tissues using near-infrared spectroscopy and imaging.

Isaac O Afara, Rubina Shaikh, Ervin Nippolainen, William Querido, Jari Torniainen, Jaakko K Sarin, Shital Kandel, Nancy Pleshko, Juha Töyräs

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
14.2field-weighted citation impact, top 1% of its field
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

21 citing papers in PubMed, 74 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Isaac O AfaraDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland. isaac.afara@uef.fi.ORCID http://orcid.org/0000-0001-7114-0439
Rubina ShaikhDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Ervin NippolainenDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
William QueridoDepartment of Bioengineering, Temple University, Philadelphia, PA, USA.
Jari TorniainenDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Jaakko K SarinDiagnostic Imaging Centre, Kuopio University Hospital, Kuopio, Finland.
Shital KandelDepartment of Bioengineering, Temple University, Philadelphia, PA, USA.
Nancy PleshkoDepartment of Bioengineering, Temple University, Philadelphia, PA, USA.
Juha TöyräsDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Temple University · USUniversity of Eastern Finland · FIQueensland University of Technology · AUKuopio University Hospital · FI

Funding

Evaluation of Cartilage Tissue Engineering Strategies by IR ImagingR01AR056145 · NIAMS · TEMPLE UNIV OF THE COMMONWEALTH · PI PLESHKO, NANCY · 2009 to 2020
$3.3M
NIAMS NIH HHS R01 AR056145
6 · The paper itself

Abstract

Near-infrared (NIR) spectroscopy is a powerful analytical method for rapid, non-destructive and label-free assessment of biological materials. Compared to mid-infrared spectroscopy, NIR spectroscopy excels in penetration depth, allowing intact biological tissue assessment, albeit at the cost of reduced molecular specificity. Furthermore, it is relatively safe compared to Raman spectroscopy, with no risk of laser-induced photothermal damage. A typical NIR spectroscopy workflow for biological tissue characterization involves sample preparation, spectral acquisition, pre-processing and analysis. The resulting spectrum embeds intrinsic information on the tissue's biomolecular, structural and functional properties. Here we demonstrate the analytical power of NIR spectroscopy for exploratory and diagnostic applications by providing instructions for acquiring NIR spectra, maps and images in biological tissues. By adapting and extending this protocol from the demonstrated application in connective tissues to other biological tissues, we expect that a typical NIR spectroscopic study can be performed by a non-specialist user to characterize biological tissues in basic research or clinical settings. We also describe how to use this protocol for exploratory study on connective tissues, including differentiating among ligament types, non-destructively monitoring changes in matrix formation during engineered cartilage development, mapping articular cartilage proteoglycan content across bovine patella and spectral imaging across the depth-wise zones of articular cartilage and subchondral bone. Depending on acquisition mode and experiment objectives, a typical exploratory study can be completed within 6 h, including sample preparation and data analysis.

Indexed as

AnimalsCartilage, ArticularConnective TissueConnective Tissue CellsHumansProteoglycansSpecimen HandlingSpectroscopy, Near-InfraredProteoglycans

Identifiers

PMID33462441
PMCPMC12896788
OpenAlexW3125029450

What Socratic holds

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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 Socratic graph.