Redefine tumor spheroids heterogeneity via PCA-coupled biophysical characterization

Spheroids, a part of 3D cell culture systems, are crucial models for bridging in-vitro and in-human studies. However, achieving reliable standardization remains difficult, even when comparing spheroids of similar diameters. The challenge arises due to their cross-sectional architecture, which increases heterogeneity and affects biological outcomes. Here we present a novel solution that integrates Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) with Biophysical Characterization (PCA-BC). This approach allows for the identification and classification of variability within and across spheroid populations, offering insights into factors that contribute to heterogeneity. Additionally, it highlights the impact of different operators on spheroid development. The PCA-BC method enables real-time analysis of spheroid samples, facilitating the identification of variability across 3D populations. The integration of PCA and HCA with biophysical characterization provides a clear and efficient means to monitor sample heterogeneity. It also helps track how different operators influence the results, improving overall standardization in 3D cell cultures. By offering structural insights into spheroid heterogeneity, the PCA-BC approach supports more informed decision-making. This significantly improves workflow efficiency, conserving both time and resources, and enhances the reliability of 3D cell culture experiments.

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Publication Details

Journal
Scientific Reports
Published
2025-10-13
DOI
https://doi.org/10.1038/s41598-025-19557-8
Citations
1
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.63

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article

Redefine tumor spheroids heterogeneity via PCA-coupled biophysical characterization

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1 citations
Scientific Reports
Cell Image Analysis Techniques
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article

Redefine tumor spheroids heterogeneity via PCA-coupled biophysical characterization

Azzurra Sargenti, Noemi Marino, Domenico A. Cristaldi, Simone Pasqua, Simone Bonetti, Gianfranco Cavallaro, Daniele Gazzola, Anna Tesei, Cosimo G. Fortuna, Martina Bedeschi
article en
1 citations

Abstract

Spheroids, a part of 3D cell culture systems, are crucial models for bridging in-vitro and in-human studies. However, achieving reliable standardization remains difficult, even when comparing spheroids of similar diameters. The challenge arises due to their cross-sectional architecture, which increases heterogeneity and affects biological outcomes. Here we present a novel solution that integrates Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) with Biophysical Characterization (PCA-BC). This approach allows for the identification and classification of variability within and across spheroid populations, offering insights into factors that contribute to heterogeneity. Additionally, it highlights the impact of different operators on spheroid development. The PCA-BC method enables real-time analysis of spheroid samples, facilitating the identification of variability across 3D populations. The integration of PCA and HCA with biophysical characterization provides a clear and efficient means to monitor sample heterogeneity. It also helps track how different operators influence the results, improving overall standardization in 3D cell cultures. By offering structural insights into spheroid heterogeneity, the PCA-BC approach supports more informed decision-making. This significantly improves workflow efficiency, conserving both time and resources, and enhances the reliability of 3D cell culture experiments.

Scientific ReportsVol. 15(1)
University of Catania (IT), Institute of Nanostructured Materials (IT), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IT), University of Bologna (IT)
Ministero della Salute
Openalex Percentile: Top 12%
Cell Image Analysis Techniques
1.63
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