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Towards a More Objective and High-throughput Spheroid Invasion Assay Quantification Method.

Rozanne W Mungai1, Roger J Hartman Ii2, Grace E Jolin1

  • 1Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA 01605.

Biorxiv : the Preprint Server for Biology
|July 15, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel, high-throughput method for quantifying 3D cell invasion in multicellular spheroids. The automated analysis provides objective, size-independent metrics, enhancing 3D cell invasion research.

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Quantitative Biology

Background:

  • Multicellular spheroids in 3D hydrogels are key *in vitro* models for studying 3D cell invasion.
  • Existing quantification methods lack high throughput, objectivity, and accessibility, hindering research.
  • Variations in spheroid size and cell shape complicate objective assessment of invasion extent.

Purpose of the Study:

  • To develop a high-throughput, objective quantification method for 3D cell invasion into matrices.
  • To minimize sensitivity to initial spheroid size and cell spreading.
  • To provide precise, directionally-dependent invasion metrics.

Main Methods:

  • Automated pixel-level analysis of fluorescent cell nuclei images.
  • Segmentation of initial spheroid boundaries and calculation of nuclear distances.
  • Introduction of area moment of inertia and principal component analysis for integrative and directional metrics.

Main Results:

  • Consistent and objective analysis of 3D multicellular spheroid invasion across five cell types.
  • Development of size- and shape-independent invasion metrics.
  • Demonstration of directional invasion quantification using principal component analysis.

Conclusions:

  • The developed high-throughput method offers consistent and objective analysis of 3D spheroid invasion.
  • The method provides precise, integrative, and directionally-dependent invasion metrics.
  • Open-source code (MATLAB, Python) and a GUI enhance accessibility for diverse biological applications.