Evidence map›Paper›PMID 23408326›Full record

ArticleNeuroinformatics2013

Computer aided alignment and quantitative 4D structural plasticity analysis of neurons.

Ping-Chang Lee, Hai-Yan He, Chih-Yang Lin, Yu-Tai Ching, Hollis T Cline

Abstract read
In one paragraph

Article in Neuroinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Imaging Structural and Functional Dynamics inCold Spring Harbor protocols · 2022
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

5 authors.

Ping-Chang LeeIndustrial Technology Research Institute, Hsin Chu, Taiwan.
Hai-Yan He
Chih-Yang Lin
Yu-Tai Ching
Hollis T Cline

Funding

Activity-dependent Development of Visual System DevelopmentR01EY011261 · NEI · SCRIPPS RESEARCH INSTITUTE, THE · PI CLINE, HOLLIS T. · 1996 to 2018
$11.1M
NEI NIH HHS EY011261NEI NIH HHS R01 EY011261
6 · The paper itself

Abstract

The rapid development of microscopic imaging techniques has greatly facilitated time-lapse imaging of neuronal morphology. However, analysis of structural dynamics in the vast amount of 4-Dimensional data generated by in vivo or ex vivo time-lapse imaging still relies heavily on manual comparison, which is not only laborious, but also introduces errors and discrepancies between individual researchers and greatly limits the research pace. Here we present a supervised 4D Structural Plasticity Analysis (4D SPA) computer method to align and match 3-Dimensional neuronal structures across different time points on a semi-automated basis. We demonstrate 2 applications of the method to analyze time-lapse data showing gross morphological changes in dendritic arbor morphology and to identify the distribution and types of branch dynamics seen in a series of time-lapse images. Analysis of the dynamic changes of neuronal structure can be done much faster and with greatly improved consistency and reliability with the 4D SPA supervised computer program. Users can format the neuronal reconstruction data to be used for this analysis. We provide file converters for Neurolucida and Imaris users. The program and user manual are publically accessible and operate through a graphical user interface on Windows and Mac OSX.

Indexed as

Image Processing, Computer-AssistedModels, NeurologicalAnimalsAnimals, Genetically ModifiedGreen Fluorescent ProteinsNeuronal PlasticityNeuronsNonlinear DynamicsSuperior ColliculiTime FactorsTime-Lapse ImagingXenopus laevisGreen Fluorescent Proteins

Identifiers

PMID23408326
PMCPMC3622159

What Socratic 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 Socratic graph.