ScanGrow

ScanGrow is an open-source software tool that offers a cost-effective and high-throughput alternative to traditional spectrophotometric plate readers for monitoring bacterial growth curves. The tool utilizes a deep learning model trained on scanned images of bacterial cultures in microplates, eliminating the need for expensive equipment. ScanGrow automates the process by triggering a flatbed scanner to capture images at regular intervals, processing the images, and generating growth curves. The application also provides data pre-processing features to create and evaluate new models, potentially simplifying routine microbiological techniques. By requiring only a computer connected to a flatbed scanner, ScanGrow presents a novel, accessible, and efficient approach to monitoring bacterial growth in microbiology laboratories.

Topic

Imaging;Microbiology;Machine learning

Detail

  • Operation: Image analysis

  • Software interface: Desktop application

  • Language: C#

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: Innovate UK and Ineos Oxford Institute for Antimicrobial Research.

  • Input: -

  • Output: -

  • Contact: -

  • Collection: -

  • Maturity: -

Publications

  • ScanGrow: Deep Learning-Based Live Tracking of Bacterial Growth in Broth.
  • Worth RM and Espina L. ScanGrow: Deep Learning-Based Live Tracking of Bacterial Growth in Broth. ScanGrow: Deep Learning-Based Live Tracking of Bacterial Growth in Broth. 2022; 13:900596. doi: 10.3389/fmicb.2022.900596
  • https://doi.org/10.3389/FMICB.2022.900596
  • PMID: 35928161
  • PMC: PMC9343779

Download and documentation


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