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Live Imaging of Cell Invasion Using a Multicellular Spheroid Model and Light-Sheet Microscopy
Marco Marcello1, Rosalie Richards1, David Mason1
1Department of Biochemistry and Centre for Cell Imaging, Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
Advances in Experimental Medicine and Biology
|October 29, 2017
Summary
Three-dimensional (3D) cell culture models, like spheroids, are vital for bridging the gap between lab cultures and animal testing. This guide details a simple protocol for imaging spheroids using light-sheet fluorescence microscopy.
Area of Science:
- Cell Biology
- Microscopy
- Biotechnology
Background:
- Three-dimensional (3D) cellular assays are increasingly crucial for biological research, offering a more relevant model than traditional 2D cultures.
- Spheroids represent a key 3D model, serving as an essential intermediate step between 2D cell cultures and in vivo animal studies.
- Bridging the gap between in vitro and in vivo models is critical for accurate preclinical research and drug development.
Purpose of the Study:
- To present a straightforward protocol for generating and imaging spheroids.
- To demonstrate the application of light-sheet fluorescence microscopy for 3D cell assay analysis.
- To provide a reproducible method for sample preparation, image acquisition, and initial post-processing of spheroid data.
Main Methods:
- Detailed protocol for spheroid sample preparation.
- Image acquisition using the Zeiss Lightsheet Z.1 fluorescence microscopy platform.
- Initial post-processing steps for acquired spheroid images.
Main Results:
- Successful implementation of a user-friendly protocol for spheroid imaging.
- High-quality image data acquisition from 3D cellular spheroids.
- Demonstration of the utility of light-sheet microscopy for spheroid analysis.
Conclusions:
- The described protocol facilitates the use of spheroids as advanced 3D cell models.
- Light-sheet fluorescence microscopy provides an effective platform for imaging these complex biological structures.
- This method supports more accurate and predictive biological research by improving 3D model utilization.

