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bioRxiv · 10.64898/2026.05.23.727125

growthcurves: User-friendly tools for quality-controlled cellular growth analysis

Bradley, S. A.·Webel, H.·Donati, S.·Acevedo-Rocha, C.
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Abstract

SummaryBiological growth curves are widely used but inconsistently analyzed due to fragmented workflows and limited quality control. We present growthcurves, a Python package for extracting growth parameters, and two open-source web applications, MicroGrowth and AutoGrowth, that combine automated fitting with interactive, human-in-the-loop inspection, selective refitting and traceable export for microplate reader and mini-bioreactor datasets in batch or turbidostat cultivation mode. Availability and Implementationgrowthcurves is implemented in Python and is freely available to non-commercial users at [https://github.com/biosustain/growthcurves.git] and through PyPI at [https://pypi.org/project/growthcurves/]. MicroGrowth and AutoGrowth are available at [https://biosustain.github.io/growthcurves_app/], and their source code is available at [https://github.com/biosustain/growthcurves_app.git]. Documentation, installation instructions, example datasets and tutorials are available at [https://growthcurves.readthedocs.io/en/latest/]. Contactstefdon@dtu.dk; cargac@dtu.dk Supplementary InformationSupplementary information and Supplementary Methods are available online.

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Bradley, S. A., Webel, H., Donati, S., Acevedo-Rocha, C.. 2026-05-27. growthcurves: User-friendly tools for quality-controlled cellular growth analysis. https://doi.org/10.64898/2026.05.23.727125

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