Evidence map›Paper›PMID 25887846›Full record

ArticleMolecular neurodegeneration2015

An automated image analysis method to measure regularity in biological patterns: a case study in a Drosophila neurodegenerative model.

Sergio Diez-Hermano, Jorge Valero, Cristina Rueda, Maria D Ganfornina, Diego Sanchez

Abstract read
In one paragraph

Article in Molecular neurodegeneration, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  9. Parkinson's disease · 2021
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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.

Sergio Diez-HermanoInstituto de Biología y Genética Molecular-Departamento de Bioquímica y Biología Molecular y Fisiología, Universidad de Valladolid-CSIC, c/ Sanz y Forés 3, Valladolid, Spain. mrgames110@hotmail.com.
Jorge ValeroCenter for Neuroscience and Cell Biology. Mitochondrial Dysfunction and Signaling in Neurodegeneration group. University of Coimbra, Coimbra, Portugal. jorge.valero@cnc.uc.pt.
Cristina RuedaInstituto de Matemáticas (IMUVA), Universidad de Valladolid, Valladolid, Spain. crueda@eio.uva.es.
Maria D GanforninaInstituto de Biología y Genética Molecular-Departamento de Bioquímica y Biología Molecular y Fisiología, Universidad de Valladolid-CSIC, c/ Sanz y Forés 3, Valladolid, Spain. opabinia@ibgm.uva.es.
Diego SanchezInstituto de Biología y Genética Molecular-Departamento de Bioquímica y Biología Molecular y Fisiología, Universidad de Valladolid-CSIC, c/ Sanz y Forés 3, Valladolid, Spain. lazarill@ibgm.uva.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fruitfly compound eye has been broadly used as a model for neurodegenerative diseases. Classical quantitative techniques to estimate the degeneration level of an eye under certain experimental conditions rely either on time consuming histological techniques to measure retinal thickness, or pseudopupil visualization and manual counting. Alternatively, visual examination of the eye surface appearance gives only a qualitative approximation provided the observer is well-trained. Therefore, there is a need for a simplified and standardized analysis of fruitfly eye degeneration extent for both routine laboratory use and for automated high-throughput analysis. We have designed the freely available ImageJ plugin FLEYE, a novel and user-friendly method for quantitative unbiased evaluation of neurodegeneration levels based on the acquisition of fly eye surface pictures. The incorporation of automated image analysis tools and a classification algorithm sustained on a built-in statistical model allow the user to quickly analyze large sample size data with reliability and robustness. Pharmacological screenings or genetic studies using the Drosophila retina as a model system may benefit from our method, because it can be easily implemented in a fully automated environment. In addition, FLEYE can be trained to optimize the image detection capabilities, resulting in a versatile approach to evaluate the pattern regularity of other biological or non-biological samples and their experimental or pathological disruption.

Indexed as

AnimalsBehavior, AnimalDisease Models, AnimalDrosophila melanogasterImage Processing, Computer-AssistedModels, BiologicalReproducibility of ResultsRetina

Identifiers

PMID25887846
PMCPMC4367968

What OpenQuestion holds

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Registered trials

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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.