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Related Experiment Video

Updated: Jul 12, 2025

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
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SpheroScan: a user-friendly deep learning tool for spheroid image analysis.

Akshay Akshay1,2, Mitali Katoch3, Masoud Abedi4

  • 1Functional Urology Research Group, Department for BioMedical Research DBMR, University of Bern, 3008 Bern, Switzerland.

Gigascience
|October 27, 2023
PubMed
Summary
This summary is machine-generated.

We developed SpheroScan, an automated tool for analyzing 3D spheroid images. This deep learning-based solution enhances the reproducibility and throughput of spheroid assays, advancing 3D cell culture research.

Keywords:
3D spheroidsImage analysisMask R-CNNdeep learninghigh-throughput screeningimage segmentation

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Drug Discovery

Background:

  • Three-dimensional (3D) spheroid models offer a more physiologically relevant microenvironment than traditional 2D cultures.
  • 3D spheroid assays enhance understanding of cellular behavior, drug efficacy, and toxicity.
  • Lack of automated tools hinders reproducibility and throughput in 3D spheroid image analysis.

Purpose of the Study:

  • To develop an automated, user-friendly tool for analyzing 3D spheroid images.
  • To improve the reproducibility and throughput of 3D spheroid assays.

Main Methods:

  • Developed SpheroScan, a web-based tool utilizing deep learning (Mask Regions with Convolutional Neural Networks - R-CNN).
  • Trained the deep learning model on spheroid images from diverse experimental conditions (IncuCyte and conventional microscopy).
  • Employed image detection and segmentation for automated analysis.

Main Results:

  • SpheroScan provides automated analysis for large image datasets.
  • The tool offers interactive visualization features for in-depth data exploration.
  • Performance evaluation on validation and test datasets showed promising results.

Conclusions:

  • SpheroScan significantly advances 3D spheroid image analysis.
  • The tool facilitates the widespread adoption of 3D spheroid models in research.
  • Open-source code and tutorials are available for SpheroScan.