Evidence map›Paper›PMID 20799820›Full record

ArticleJournal of biomedical optics

Three-dimensional optical method for integrated visualization of mouse islet microstructure and vascular network with subcellular-level resolution.

Ya-Yuan Fu, Chih-Hsuan Lu, Chi-Wen Lin, Jyuhn-Huarng Juang, Grigori Enikolopov, Eric Sibley, Ann-Shyn Chiang, Shiue-Cheng Tang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomedical optics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  8. PanIN-associated pericyte, glial, and islet remodeling in mice revealed by 3D pancreatic duct lesion histology.American journal of physiology. Gastrointestinal and liver physiology · 2016
    Article
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  12. Feasibility of a hybrid elastographic-microfluidic device to rapidly process and assess pancreatic cancer biopsies for pathologists.... Health innovations and point-of-care technologies conference. Health innovations and point-of-care technologies conference · 2014
    Article
  13. Article
  14. Recent progress in tissue optical clearing.Laser & photonics reviews · 2013
    Article
  15. 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 at 4 institutions in 2 countries.

Ya-Yuan FuNational Tsing Hua University, Department of Chemical Engineering, Hsinchu, Taiwan.
Chih-Hsuan Lu
Chi-Wen Lin
Jyuhn-Huarng Juang
Grigori Enikolopov
Eric Sibley
Ann-Shyn Chiang
Shiue-Cheng Tang
National Tsing Hua University · TWChang Gung University · TWCold Spring Harbor Laboratory · USStanford University · US

Funding

Spatiotemporal Regulation of Intestinal Gene ExpressionR01DK060715 · NIDDK · STANFORD UNIVERSITY · PI SIBLEY, ERIC · 2003 to 2015
$3.8M
PDX-1 Regulation of Intestinal Pattern FormationR01DK072416 · NIDDK · STANFORD UNIVERSITY · PI SIBLEY, ERIC · 2007 to 2012
$1.7M
NIDDK NIH HHS R01 DK060715NIDDK NIH HHS R01 DK072416
6 · The paper itself

Abstract

Microscopic visualization of islets of Langerhans under normal and diabetic conditions is essential for understanding the pathophysiology of the disease. The intrinsic opacity of pancreata, however, limits optical accessibility for high-resolution light microscopy of islets in situ. Because the standard microtome-based, 2-D tissue analysis confines visualization of the islet architecture at a specific cut plane, 3-D representation of image data is preferable for islet assessment. We applied optical clearing to minimize the random light scattering in the mouse pancreatic tissue. The optical-cleared pancreas allowed penetrative, 3-D microscopic imaging of the islet microstructure and vasculature. Specifically, the islet vasculature was revealed by vessel painting-lipophilic dye labeling of blood vessels-for confocal microscopy. The voxel-based confocal micrographs were digitally processed with projection algorithms for 3-D visualization. Unlike the microtome-based tissue imaging, this optical method for penetrative imaging of mouse islets yielded clear, continuous optical sections for an integrated visualization of the islet microstructure and vasculature with subcellular-level resolution. We thus provide a useful imaging approach to change our conventional planar view of the islet structure into a 3-D panorama for better understanding of the islet physiology.

Indexed as

AlgorithmsAnimalsEquipment DesignEquipment Failure AnalysisImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalIslets of LangerhansMiceMicroscopy, ConfocalMicrovesselsReproducibility of ResultsSensitivity and SpecificitySubcellular FractionsSystems Integration

Identifiers

PMID20799820
PMCPMC3188637
OpenAlexW2128472235

What OpenQuestion holds

Textmetadata
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.