Evidence map›Paper›PMID 26139222›Full record

ArticleJournal of microscopy2015

Combining quantitative 2D and 3D image analysis in the serial block face SEM: application to secretory organelles of pancreatic islet cells.

A Shomorony, C R Pfeifer, M A Aronova, G Zhang, T Cai, H Xu, A L Notkins, R D Leapman

Open access · hybridAbstract read
In one paragraph

Article in Journal of microscopy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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  13. Using electron microscopes to look into the lung.Histochemistry and cell biology · 2016
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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 at 3 institutions in 1 country.

A ShomoronyNational Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, U.S.A.
C R PfeiferNational Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, U.S.A.
M A AronovaNational Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, U.S.A.
G ZhangNational Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, U.S.A.
T CaiNational Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland, U.S.A.
H XuNational Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland, U.S.A.
A L NotkinsNational Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland, U.S.A.
R D LeapmanNational Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, U.S.A.
National Institutes of Health · USNational Institute of Biomedical Imaging and Bioengineering · USNational Institute of Dental and Craniofacial Research · US

Funding

Three-Dimensional Cell and Tissue Reconstruction by Serial Block Face SEMZIAEB000086 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI LEAPMAN, RICHARD · 2013 to 2025
$23.6M
Insulin-Dependent Diabetes MellitusZIADE000423 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI NOTKINS, ABNER L. · 2009 to 2020
$16.9M
Electron MicroscopyZICEB000080 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI ZHANG, GUOFENG · 2011 to 2025
$8.2M
Intramural NIH HHS ZIA EB000086
6 · The paper itself

Abstract

A combination of two-dimensional (2D) and three-dimensional (3D) analyses of tissue volume ultrastructure acquired by serial block face scanning electron microscopy can greatly shorten the time required to obtain quantitative information from big data sets that contain many billions of voxels. Thus, to analyse the number of organelles of a specific type, or the total volume enclosed by a population of organelles within a cell, it is possible to estimate the number density or volume fraction of that organelle using a stereological approach to analyse randomly selected 2D block face views through the cells, and to combine such estimates with precise measurement of 3D cell volumes by delineating the plasma membrane in successive block face images. The validity of such an approach can be easily tested since the entire 3D tissue volume is available in the serial block face scanning electron microscopy data set. We have applied this hybrid 3D/2D technique to determine the number of secretory granules in the endocrine α and β cells of mouse pancreatic islets of Langerhans, and have been able to estimate the total insulin content of a β cell.

Indexed as

Imaging, Three-DimensionalAnimalsGlucagon-Secreting CellsInsulinInsulin-Secreting CellsMaleMiceMicroscopy, Electron, ScanningSecretory VesiclesInsulinpancreatic isletssecretory granulesserial block face SEMstereologyα cellsβ cells

Identifiers

PMID26139222
PMCPMC4515433
OpenAlexW2136719974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.