Work

Automated Tracking of Learned Actin Structures (ATLAS)

Year: 2025

Type: article

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. For instructions, please visit: https://github.com/obilogy/ATLAS

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15319227

Authors: Duno-Miranda, Sebastian, Warshaw, David, Nelson, Shane

Institution: University of Vermont

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6893270839

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