Evidence map›Paper›PMID 21118201›Full record

ArticleJournal of microscopy2011

The Viking viewer for connectomics: scalable multi-user annotation and summarization of large volume data sets.

J R Anderson, S Mohammed, B Grimm, B W Jones, P Koshevoy, T Tasdizen, R Whitaker, R E Marc

Abstract read
In one paragraph

Article in Journal of microscopy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. CAVE: Connectome Annotation Versioning Engine.bioRxiv : the preprint server for biology · 2023
    Article
  7. Article
  8. Article
  9. Impact of Retinal Degeneration on Response of ON and OFF Cone Bipolar Cells to Electrical Stimulation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023
    Article
  10. Article
  11. Article
  12. Automated Microscopy Image Segmentation and Analysis with Machine Learning.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Article
  14. Article
  15. Synaptic inputs to broad thorny ganglion cells in macaque retina.The Journal of comparative neurology · 2021
    Article
  16. Primary Cilia in Amacrine Cells in Retinal Development.Investigative ophthalmology & visual science · 2021
    Article
  17. Article
  18. Article
  19. Network Architecture of Gap Junctional Coupling among Parallel Processing Channels in the Mammalian Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  20. 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

8 authors.

J R AndersonDepartment of Ophthalmology, Moran Eye Center, University of Utah, Salt Lake City, UT 84132, U.S.A. james.r.anderson@utah.edu
S Mohammed
B Grimm
B W Jones
P Koshevoy
T Tasdizen
R Whitaker
R E Marc

Funding

University of Utah, Core Vision Research GrantP30EY014800 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI PAUL STEVEN BERNSTEIN · 2005 to 2026
$14.6M
STRUCTURAL NEUROCHEMISTRY OF RETINAL CIRCUITSR01EY002576 · NEI · UNIVERSITY OF UTAH · PI MARC, ROBERT E · 1985 to 2016
$8.0M
Retinal RemodelingR01EY015128 · NEI · UNIVERSITY OF UTAH · PI JONES, BRYAN WILLIAM · 2004 to 2021
$7.0M
CRCNS: Large-scale computational reconstruction of three-dimensional neuralR01EB005832 · NIBIB · UNIVERSITY OF UTAH · PI TASDIZEN, TOLGA · 2005 to 2008
$1.1M
Predoctoral Interdepartmental Training Program in NeuroscienceT32DC008553 · NIDCD · UNIVERSITY OF UTAH · PI LUCERO, MARY T · 2006 to 2010
$906k
NEI NIH HHS P01 EY014800NEI NIH HHS P30 EY014800NEI NIH HHS R01 EY002576NEI NIH HHS R01 EY015128NEI NIH HHS R01 EY02576NIBIB NIH HHS EB005832NIBIB NIH HHS R01 EB005832NIDCD NIH HHS T32 DC008553NIDCD NIH HHS T32DC008553
6 · The paper itself

Abstract

Modern microscope automation permits the collection of vast amounts of continuous anatomical imagery in both two and three dimensions. These large data sets present significant challenges for data storage, access, viewing, annotation and analysis. The cost and overhead of collecting and storing the data can be extremely high. Large data sets quickly exceed an individual's capability for timely analysis and present challenges in efficiently applying transforms, if needed. Finally annotated anatomical data sets can represent a significant investment of resources and should be easily accessible to the scientific community. The Viking application was our solution created to view and annotate a 16.5 TB ultrastructural retinal connectome volume and we demonstrate its utility in reconstructing neural networks for a distinctive retinal amacrine cell class. Viking has several key features. (1) It works over the internet using HTTP and supports many concurrent users limited only by hardware. (2) It supports a multi-user, collaborative annotation strategy. (3) It cleanly demarcates viewing and analysis from data collection and hosting. (4) It is capable of applying transformations in real-time. (5) It has an easily extensible user interface, allowing addition of specialized modules without rewriting the viewer.

Indexed as

SoftwareAmacrine CellsImage Processing, Computer-AssistedNerve NetRetina

Identifiers

PMID21118201
PMCPMC3017751

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.