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ANDA: An open-source tool for automated image analysis of neuronal differentiation
Hallvard Austin Wæhler1,2,3, Nils-Anders Labba1,4,2, Ragnhild Elisabeth Paulsen4,2
1Institute of Basic Medical Sciences, Department of Molecular Medicine, Faculty of Medicine, University of Oslo, PO Box 1112 Blindern, 0317 Oslo, Norway.
Biorxiv : the Preprint Server for Biology
|May 10, 2023
Summary
Automated Neuronal Differentiation Discovery (ANDA) quantifies neuronal morphology from live-cell imaging. This open-source tool analyzes cell numbers, neurite lengths, and attachment points for high-throughput screening.
Area of Science:
- Neuroscience
- Cell Biology
- Bioinformatics
Background:
- * In vitro imaging and morphological analysis provide insights into neuronal development.
- * High-throughput live-cell imaging generates large datasets, necessitating automated analysis pipelines for neuronal morphology.
Conclusions:
- * ANDA is an easy-to-use, open-source tool for automated neuronal cell analysis.
- * The pipeline is particularly effective for high-throughput imaging screens.
- * Facilitates quantitative analysis of neuronal morphology in time-course studies.
