Evidence map›Paper›PMID 18835449›Full record

ArticleJournal of structural biology2008

Three-dimensional geometric modeling of membrane-bound organelles in ventricular myocytes: bridging the gap between microscopic imaging and mathematical simulation.

Zeyun Yu, Michael J Holst, Takeharu Hayashi, Chandrajit L Bajaj, Mark H Ellisman, J Andrew McCammon, Masahiko Hoshijima

Abstract read
In one paragraph

Article in Journal of structural biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. The Implementation of the Colored Abstract Simplicial Complex and its Application to Mesh Generation.ACM transactions on mathematical software. Association for Computing Machinery · 2019
    Article
  3. Article
  4. Article
  5. Article
  6. Computational modeling of subcellular transport and signaling.Current opinion in structural biology · 2014
    Review
  7. The transverse-axial tubular system of cardiomyocytes.Cellular and molecular life sciences : CMLS · 2013
    Review
  8. Article
  9. Review
  10. Geometric modeling of subcellular structures, organelles, and multiprotein complexes.International journal for numerical methods in biomedical engineering · 2012
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

7 authors.

Zeyun YuDepartment of Mathematics, University of California, San Diego, La Jolla, CA 92093, USA. yuz@uwm.edu
Michael J Holst
Takeharu Hayashi
Chandrajit L Bajaj
Mark H Ellisman
J Andrew McCammon
Masahiko Hoshijima

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAPADOPOULOS, PHILIP · 1994 to 2011
$28.1M
VOLUMETRIC CONTOUR-BASED SURFACE RECONSTRUCTIONP41RR004050 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PASQUALE, ELENA B · 1989 to 2011
$28.0M
THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
Howard Hughes Medical InstituteIntramural NIH HHSNCRR NIH HHS P41 RR004050NCRR NIH HHS P41 RR008605NCRR NIH HHS RR004050NCRR NIH HHS RR008605NIGMS NIH HHS GM31749NIGMS NIH HHS R01 GM031749
6 · The paper itself

Abstract

A general framework of image-based geometric processing is presented to bridge the gap between three-dimensional (3D) imaging that provides structural details of a biological system and mathematical simulation where high-quality surface or volumetric meshes are required. A 3D density map is processed in the order of image pre-processing (contrast enhancement and anisotropic filtering), feature extraction (boundary segmentation and skeletonization), and high-quality and realistic surface (triangular) and volumetric (tetrahedral) mesh generation. While the tool-chain described is applicable to general types of 3D imaging data, the performance is demonstrated specifically on membrane-bound organelles in ventricular myocytes that are imaged and reconstructed with electron microscopic (EM) tomography and two-photon microscopy (T-PM). Of particular interest in this study are two types of membrane-bound Ca(2+)-handling organelles, namely, transverse tubules (T-tubules) and junctional sarcoplasmic reticulum (jSR), both of which play an important role in regulating the excitation-contraction (E-C) coupling through dynamic Ca(2+) mobilization in cardiomyocytes.

Indexed as

Image Processing, Computer-AssistedAnimalsDiagnostic ImagingHeart VentriclesImaging, Three-DimensionalMathematicsMuscle CellsMyocytes, CardiacOrganellesSarcolemmaSarcoplasmic Reticulum

Identifiers

PMID18835449
PMCPMC2790379

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.