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Related Experiment Video

Updated: May 11, 2026

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
08:39

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately

Published on: July 8, 2014

A statistically rigorous multi-scale texture analysis framework for 3D spheroid characterization: temporal

Daniel G Regassa1, Marat S Babaev2, Evgeniya Y Shabalina2

  • 1Institute of Future Biophysics, Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Moscow oblast, Russia. regassa.d@phystech.edu.

Scientific Reports
|May 9, 2026
PubMed
Summary

This study introduces a computational framework for analyzing 3D tumor spheroids, enabling detailed morphological profiling and complementing molecular data for drug screening and organoid development.

Keywords:
3D spheroid imagingBlock bootstrapEpithelial-mesenchymal transitionTemporal autocorrelationTexture analysis

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Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
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Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography

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Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology
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Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Published on: June 10, 2014

Related Experiment Videos

Last Updated: May 11, 2026

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
08:39

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately

Published on: July 8, 2014

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
08:50

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography

Published on: February 9, 2019

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology
11:11

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Published on: June 10, 2014

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Cancer Research

Background:

  • 3D tumor spheroids are valuable models for studying cancer but face imaging depth limitations.
  • Current methods capture either limited single-cell resolution or discrete molecular snapshots, missing dynamic biological processes.

Purpose of the Study:

  • To develop a computational framework for statistically rigorous, ensemble-level morphological profiling of 3D tumor spheroids.
  • To enable continuous monitoring of spheroid dynamics and complement molecular endpoint assays.

Main Methods:

  • Integrated multi-scale texture analysis (37 features) and global standardization.
  • Employed autocorrelation-informed block bootstrap resampling for temporal dependence.
  • Validated the framework using lung cancer spheroids and external RNA-sequencing data.

Main Results:

  • Global standardization effectively normalized features while preserving biological signal (16.8-fold discrimination).
  • Temporal autocorrelation analysis informed resampling for valid statistical inference.
  • Morphological profiling showed quantitative concordance (within 15%) with molecular differences (VIM/CDH1 ratio).

Conclusions:

  • The framework provides statistically valid, biologically grounded morphological profiling for 3D tumor spheroids.
  • Enables continuous monitoring for applications like drug screening, organoid tracking, and biomanufacturing quality control.