Evidence map›Paper›PMID 25204459›Full record

ArticleJournal of microscopy2014

Visualizing surface area and volume of lumens in three dimensions using images from histological sections.

David P Livingston, Tan D Tuong, Grace E Kissling, John M Cullen

Open access · greenAbstract read
In one paragraph

Article in Journal of microscopy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

4 authors at 3 institutions in 1 country.

David P LivingstonUnited States Department of Agriculture-Agricultural Research Service, Raleigh, North Carolina, U.S.A.; Department of Crop Science, North Carolina State University, Raleigh, North Carolina, U.S.A.
Tan D Tuong
Grace E Kissling
John M Cullen
United States Department of Agriculture · USNational Institute of Environmental Health Sciences · USNorth Carolina State University · US

Funding

Statistical collaboration in environmental health researchZIAES103106 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI KISSLING, GRACE E · 2012 to 2017
$656k
Intramural NIH HHS ZIA ES103106
6 · The paper itself

Abstract

Visualizing the interior (lumen) of a tubular structure within tissue can provide a unique perspective on anatomical organization of the tissue. Portal tracts of the liver contain several vessels and ducts in various patterns of intertwining branches and are an example of such spaces. An inexpensive method, using light microscopy and a sample of conventionally stained canine livers, was used to colorize and allow visualization of the lumens of vessels within the portal tract in three dimensions. When the colour of the background was digitally cleared and the lumen filled with a solid colour, it was possible to measure areas and volumes of the portal vein, arteries, bile ducts and lymphatics. Significant differences between vessels and ducts across lobes and gender in control samples are discussed. Differences were also found between control and mixed breed dogs and between controls and a dog that died of accidental traumatic haemorrhage. These differences are discussed in relation to visualizing lumens using images generated from a light microscope. Vessels in plants such as xylem and continuously formed spaces resulting from ice formation are other examples where this technique could be applied.

Indexed as

AnimalsBile DuctsBlood VesselsDogsImaging, Three-DimensionalLiverMicroscopy, PolarizationXylem3-D reconstructionhistologylivernegative spaceportal tract

Identifiers

PMID25204459
PMCPMC4460994
OpenAlexW1541473216

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.