ANDA: An open-source tool for automated image analysis of neuronal differentiation.

Autor:	Wæhler HA; Institute of Basic Medical Sciences, Department of Molecular Medicine, Faculty of Medicine, University of Oslo, PO Box 1112 Blindern, 0317 Oslo, Norway.; PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Norway.; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Norway., Labba NA; Institute of Basic Medical Sciences, Department of Molecular Medicine, Faculty of Medicine, University of Oslo, PO Box 1112 Blindern, 0317 Oslo, Norway.; Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Norway.; PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Norway., Paulsen RE; Section for Pharmacology and Pharmaceutical Biosciences, Department of Pharmacy, University of Oslo, Norway.; PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Norway., Sandve GK; Department of Informatics, University of Oslo, Norway.; PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Norway., Eskeland R; Institute of Basic Medical Sciences, Department of Molecular Medicine, Faculty of Medicine, University of Oslo, PO Box 1112 Blindern, 0317 Oslo, Norway.; PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Norway.; Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Norway.
Jazyk:	angličtina
Zdroj:	BioRxiv : the preprint server for biology [bioRxiv] 2023 Apr 28. Date of Electronic Publication: 2023 Apr 28.
DOI:	10.1101/2023.04.27.538564
Abstrakt:	Background: Imaging of in vitro neuronal differentiation and measurements of cell morphologies has led to novel insights into neuronal development. Live-cell imaging techniques and large datasets of images has increased the demand for automated pipelines for quantitative analysis of neuronal morphological metrics. Results: We present ANDA, an analysis workflow for quantification of various aspects of neuronal morphology from high-throughput live-cell imaging screens. This tool automates the analysis of neuronal cell numbers, neurite lengths and neurite attachment points. We used rat, chicken and human in vitro models for neuronal differentiation and have demonstrated the accuracy, versatility, and efficiency of the tool. Conclusions: ANDA is an open-source tool that is easy to use and capable of automated processing from time-course measurements of neuronal cells. The strength of this pipeline is the capability to analyse high-throughput imaging screens. Competing Interests: Conflict of Interest Statement No conflict of interest declared.
Databáze:	MEDLINE
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