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Overview Of Cell Separation And Isolation

Overview Of Cell Separation And Isolation

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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Updated: May 15, 2026

Cell Sorting of Neural Stem and Progenitor Cells from the Adult Mouse Subventricular Zone and Live-imaging of their Cell Cycle Dynamics

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Cell sorting in a Petri dish controlled by computer vision.

Z Környei¹, S Beke, T Mihálffy

¹Institute of Experimental Medicine of the Hungarian Academy of Sciences, Budapest, Hungary.

Scientific Reports

|January 22, 2013

Summary

Computer vision and automated micropipettes can now sort individual live cells in Petri dishes, mimicking fluorescence-activated cell sorting (FACS) with high precision and cell survival rates.

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Area of Science:

Biotechnology
Cell Biology
Microfluidics

Background:

Fluorescence-activated cell sorting (FACS) is a standard technique for separating cells based on molecular properties.
Existing methods often require fluorescent labeling and can be limited in their application to cells in suspension.

Purpose of the Study:

To develop and validate a novel automated cell sorting method using computer vision and micropipette manipulation.
To assess the feasibility of sorting both fluorescent and unlabeled live cells at the single-cell level in a Petri dish.
To evaluate the sorting resolution, purity, and cell survival rates of the developed system.

Main Methods:

Utilized computer vision algorithms for automatic recognition and localization of live cells (fluorescent and unlabeled) in Petri dishes.
Employed a computer-controlled micropipette system for precise physical isolation of individual cells.
Performed hydrodynamic simulations to analyze fluid dynamics and cell damage risk during sorting.
Assessed cell viability and purity using co-culture experiments with mouse fibroblasts and stem cells.

Main Results:

Achieved automated single-cell sorting of both fluorescent and unlabeled live cells with high selectivity.
Demonstrated a sorting resolution of 50-70 micrometers, enabling precise isolation of adjacent cells.
Reported high purity rates (95 ± 2%) and significant cell survival rates (66 ± 12% for fibroblasts, 88 ± 16% for stem cells).
Hydrodynamic simulations confirmed sorting efficiency and comparable cell damage risk to conventional FACS.

Conclusions:

The developed computer vision-guided micropipette system offers a viable alternative to FACS for sorting live cells directly in Petri dishes.
This method provides high resolution, selectivity, and cell viability, suitable for applications requiring manipulation of individual cells.
The system's ability to sort unlabeled cells broadens its applicability in various cell biology and biotechnology research areas.