Evidence map›Paper›PMID 27233092›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2016

NeuronCyto II: An automatic and quantitative solution for crossover neural cells in high throughput screening.

Kok Haur Ong, Jaydeep De, Li Cheng, Sohail Ahmed, Weimiao Yu

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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

5 authors.

Kok Haur OngCentral Imaging Facility, Institute of Molecule and Cell Biology (IMCB), a*STAR, Singapore.
Jaydeep DeImaging Informatics Division, Bioinformatics Institute (BII), a*STAR, Singapore.
Li ChengImaging Informatics Division, Bioinformatics Institute (BII), a*STAR, Singapore.
Sohail AhmedNeural Stem Cell Lab, Institute of Medical Biology (IMB), a*STAR, Singapore.
Weimiao YuCentral Imaging Facility, Institute of Molecule and Cell Biology (IMCB), a*STAR, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microscopy is a fundamental technology driving new biological discoveries. Today microscopy allows a large number of images to be acquired using, for example, High Throughput Screening (HTS) and 4D imaging. It is essential to be able to interrogate these images and extract quantitative information in an automated fashion. In the context of neurobiology, it is important to automatically quantify the morphology of neurons in terms of neurite number, length, branching and complexity, etc. One major issue in quantification of neuronal morphology is the "crossover" problem where neurites cross and it is difficult to assign which neurite belongs to which cell body. In the present study, we provide a solution to the "crossover" problem, the software package NeuronCyto II. NeuronCyto II is an interactive and user-friendly software package for automatic neurite quantification. It has a well-designed graphical user interface (GUI) with only a few free parameters allowing users to optimize the software by themselves and extract relevant quantitative information routinely. Users are able to interact with the images and the numerical features through the Result Inspector. The processing of neurites without crossover was presented in our previous work. Our solution for the "crossover" problem is developed based on our recently published work with directed graph theory. Both methods are implemented in NeuronCyto II. The results show that our solution is able to significantly improve the reliability and accuracy of the neurons displaying "crossover." NeuronCyto II is freely available at the website: https://sites.google.com/site/neuroncyto/, which includes user support and where software upgrades will also be placed in the future. © 2016 The Authors. Cytometry Part A Published by Wiley Periodicals, Inc. on behalf of ISAC.

Indexed as

AlgorithmsHigh-Throughput Screening AssaysImage Processing, Computer-AssistedMicroscopyNeuritesNeuronsSoftwarehigh throughput screeningneurite outgrowthneurite tracingquantitative informationsoftware development

Identifiers

PMID27233092
PMCPMC5089663

What OpenQuestion holds

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LicenceCC BY-NC
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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.