Evidence map›Paper›PMID 37856696›Full record

ArticleMicroscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada2023

A Fast, Robust Method for Quantitative Assessment of Collagen Fibril Architecture from Transmission Electron Micrographs.

Bruno V Rego, Dar Weiss, Jay D Humphrey

Open access · greenAbstract read
In one paragraph

Article in Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Bruno V RegoDepartment of Biomedical Engineering, Yale University, 55 Prospect Street, New Haven, CT 06511, USA.ORCID 0000-0002-6315-693X
Dar WeissDepartment of Biomedical Engineering, Yale University, 55 Prospect Street, New Haven, CT 06511, USA.ORCID 0000-0001-6097-6038
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, 55 Prospect Street, New Haven, CT 06511, USA.ORCID 0000-0003-1011-2025
Yale University · USLouisiana State University · US

Funding

TGFB-Dependent Mechanoresponses by Aortic Smooth Muscle Cells Govern AneurysmsP01HL134605 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RIFKIN, DANIEL B · 2018 to 2022
$12.1M
Multimodality imaging-driven multifidelity modeling of aortic dissectionU01HL142518 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2018 to 2022
$2.8M
NHLBI NIH HHS P01 HL134605NHLBI NIH HHS U01 HL142518
6 · The paper itself

Abstract

Collagen is the most abundant protein in mammals; it exhibits a hierarchical organization and provides structural support to a wide range of soft tissues, including blood vessels. The architecture of collagen fibrils dictates vascular stiffness and strength, and changes therein can contribute to disease progression. While transmission electron microscopy (TEM) is routinely used to examine collagen fibrils under normal and pathological conditions, computational tools that enable fast and minimally subjective quantitative assessment remain lacking. In the present study, we describe a novel semi-automated image processing and statistical modeling pipeline for segmenting individual collagen fibrils from TEM images and quantifying key metrics of interest, including fibril cross-sectional area and aspect ratio. For validation, we show first-of-their-kind illustrative results for adventitial collagen in the thoracic aorta from three different mouse models.

Indexed as

CollagenElectronsAnimalsExtracellular MatrixImage Processing, Computer-AssistedMammalsMiceMicroscopy, Electron, TransmissionCollagencollagenextracellular matriximage segmentationtransmission electron microscopy

Identifiers

PMID37856696
PMCPMC11419845
OpenAlexW4387770354

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.