Automated Tracking of Learned Actin Structures (ATLAS)

ATLAS is a machine learning-enhanced routine designed to detect, segment and track actin filaments in the context of the In Vitro Motility Assay. SAMY is a simulated In Vitro Motility Assay (IVMA) dataset.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-01
DOI
https://doi.org/10.5281/zenodo.15319228
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated Tracking of Learned Actin Structures (ATLAS)

Zenodo (CERN European Organization for Nuclear Research)
Cell Image Analysis Techniques
article

Automated Tracking of Learned Actin Structures (ATLAS)

article en

Abstract

ATLAS is a machine learning-enhanced routine designed to detect, segment and track actin filaments in the context of the In Vitro Motility Assay. SAMY is a simulated In Vitro Motility Assay (IVMA) dataset.

Zenodo (CERN European Organization for Nuclear Research)
University of Vermont (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Cell Image Analysis Techniques
DOIOpen Access PDFOpenAlex
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Automated Tracking of Learned Actin Structures (ATLAS) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS