Data

Code for Quantitative Live Imaging of Actin Dynamics in the Quail Neuroepithelium Using Lifeact-EGFP

The University of Queensland
Dr Mel White (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/7be3991&rft.title=Code for Quantitative Live Imaging of Actin Dynamics in the Quail Neuroepithelium Using Lifeact-EGFP&rft.identifier=RDM ID: 85125455-4d16-4414-b68f-e4940704fabf&rft.publisher=The University of Queensland&rft.description=The dataset contains MATLAB code associated with a protocol for quantitative live imaging of actin dynamics in the quail neuroepithelium using the Lifeact-EGFP actin reporter. The code includes scripts for the 2D projection of the apical surface of a 3D epithelium, code for cellular quantification to extract multiple features from computationally segmented cells, code to track the position and area of cells in an epithelium over time and code to identify cells shrinking their apical surfaces over time.&rft.creator=Dr Mel White&rft.date=2026&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=actin dynamics&rft_subject=live imaging&rft_subject=cell segmentation&rft_subject=cell tracking&rft_subject=BIOLOGICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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[email protected]
Institute for Molecular Bioscience

Full description

The dataset contains MATLAB code associated with a protocol for quantitative live imaging of actin dynamics in the quail neuroepithelium using the Lifeact-EGFP actin reporter. The code includes scripts for the 2D projection of the apical surface of a 3D epithelium, code for cellular quantification to extract multiple features from computationally segmented cells, code to track the position and area of cells in an epithelium over time and code to identify cells shrinking their apical surfaces over time.

Issued: 2026

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Subjects
Biological Sciences | actin dynamics | cell segmentation | cell tracking | eng | live imaging |

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Identifiers
ACN 633 798 857