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Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Related Experiment Video

Updated: Mar 14, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

12.6K

Scattering of Cell Clusters in Confinement.

Amit Pathak1

  • 1Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, Missouri.

Biophysical Journal
|October 6, 2016
PubMed
Summary

Cellular environment stiffness and geometry significantly impact epithelial cell cluster integrity and scattering during development and cancer metastasis. Stiffer, confined 3D settings promote cell-cell junction dissociation, influencing cell scattering.

Area of Science:

  • Cell Biology
  • Biophysics
  • Computational Biology

Background:

  • Epithelial-to-mesenchymal transition (EMT) is crucial for embryonic development and cancer metastasis, involving cell scattering.
  • Extracellular matrix (ECM) properties like stiffness and topography influence EMT.
  • Understanding how subcellular forces and adhesions regulate cell cluster integrity in response to ECM is vital.

Purpose of the Study:

  • To investigate how subcellular forces, protrusions, and adhesions regulate epithelial cell cluster integrity under varying ECM conditions (stiffness, topography, dimensionality).
  • To develop a multiscale model integrating molecular adhesion, subcellular forces, cellular deformation, and ECM mechanics to predict cell cluster behavior.
  • To provide a conceptual framework for mechanosensitive cell scattering and EMT.

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Initial 3D Cell Cluster Control in a Hybrid Gel Cube Device for Repeatable Pattern Formations
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Initial 3D Cell Cluster Control in a Hybrid Gel Cube Device for Repeatable Pattern Formations

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Related Experiment Videos

Last Updated: Mar 14, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

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Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

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Initial 3D Cell Cluster Control in a Hybrid Gel Cube Device for Repeatable Pattern Formations
05:22

Initial 3D Cell Cluster Control in a Hybrid Gel Cube Device for Repeatable Pattern Formations

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Main Methods:

  • Simulated multicell networks of defined sizes and shapes within ECMs of varied stiffness and geometry.
  • Modeled cell-cell junction integrity based on subcellular forces and adhesion dynamics.
  • Investigated the role of protrusive activity, cell polarity, and cell adhesion/spreading in confinement-dependent scattering.

Main Results:

  • Simulations showed enhanced dissociation of cell-cell junctions in stiffer and more confined 3D environments.
  • In narrow channels, cell edges parallel to the channel axis lost junctions more readily.
  • Inhibition of protrusive activity and cell polarity disabled confinement-dependent scattering; cell adhesion and spreading were essential.
  • 2D confinement restricted cell spreading and blunted confinement-sensitive cell scattering.

Conclusions:

  • The multiscale model successfully integrates various biological and mechanical factors to predict cell cluster states.
  • Model predictions align with experimental findings, offering a new framework for understanding mechanosensitive cell scattering and EMT.
  • ECM stiffness, topography, and dimensionality play significant roles in regulating cell cluster integrity and scattering.