Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Detection of early locomotor abnormalities in a Drosophila model of Alzheimer's disease

11 Feb 2011

Abstract excerpt

Behavioural assays represent sensitive methods for detecting neuronal dysfunction in model organisms. A number of manual methods have been established for Drosophila, however these are time-consuming and generate parameter-poor phenotype descriptors. Here, we have developed an automated computer vision system to monitor accurately the three-dimensional locomotor trajectories of flies. This approach allows the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cholinesterase and Neurodegenerative Diseases
Share to Genetics, Aging, and Longevity in Model Organisms
Share to Neurobiology and Insect Physiology Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 21315762
DOI: 10.1016/j.jneumeth.2011.01.026

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Detection of early locomotor abnormalities in a Drosophila model of Alzheimer's diseasePMID 21315762Read ↗

Automated leg tracking reveals distinct conserved gait and tremor signatures in <i>Drosophila</i> models of Parkinson’s Disease and Spinocerebellar ataxia 3Semantic proximity Read ↗

A high throughput and sensitive method correlates neuronal disorder genotypes to Drosophila larvae crawling phenotypes.Semantic proximity Read ↗

Deep Learning Behavioral Phenotyping System in the Diagnosis of Parkinson’s Disease with Drosophila melanogasterSemantic proximity Read ↗

A Segment Anything Model-based tool for semi-automated behavioural analysis of Drosophila and other model organisms.Semantic proximity Read ↗

Classification of Parkinson's Disease Genotypes in Drosophila Using Spatiotemporal Profiling of Vision.Semantic proximity Read ↗

The power of automated high-resolution behavior analysis revealed by its application to mouse models of Huntington's and prion diseasesSemantic proximity Read ↗

Modeling the complex pathology of Alzheimer's disease in DrosophilaSemantic proximity Read ↗

Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery.Semantic proximity Read ↗

Sub-second analysis of locomotor activity in Parkinsonian miceSemantic proximity Read ↗

A cost effective high-resolution climbing assay applied to <i>Drosophila</i> Parkinson’s and proprioception mutants reveal novel behavioural phenotypesSemantic proximity Read ↗

Quantifying and predicting Drosophila larvae crawling phenotypes.Semantic proximity Read ↗

SAMBA: A Segment Anything Model-based tool for semi-automated Behavioural Analysis of <i>Drosophila</i> and other model organismsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.