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Related Concept Videos

Overview Of Cell Separation And Isolation01:20

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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Related Experiment Video

Updated: Jun 24, 2026

Human Pancreatic Islet Isolation: Part II: Purification and Culture of Human Islets
08:35

Human Pancreatic Islet Isolation: Part II: Purification and Culture of Human Islets

Published on: May 26, 2009

Human islet separation utilizing a closed automated purification system.

A S Friberg1, M Ståhle, H Brandhorst

  • 1Department of Oncology, Radiology & Clinical Immunology, Division of Clinical Immunology, Uppsala University Hospital, SE-75185 Uppsala, Sweden. Andrew.Friberg@klinimm.uu.se

Cell Transplantation
|April 15, 2009
PubMed
Summary
This summary is machine-generated.

An automated purification system (APS) for human islet isolation offers improved gradient recovery and reduced proinflammatory stress compared to standard methods. This system enhances standardization for clinical applications.

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Last Updated: Jun 24, 2026

Human Pancreatic Islet Isolation: Part II: Purification and Culture of Human Islets
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07:44

Pancreatic Islet Isolation and Purification from Lewis Rats Using Enzymatic Digestion and Density-Gradient Separation

Published on: April 3, 2026

Area of Science:

  • Endocrinology
  • Transplantation Biology
  • Biomedical Engineering

Background:

  • Human islet isolation relies on density gradients to separate islets from exocrine tissue.
  • Manual gradient makers (SGM) present challenges in standardization and optimization.
  • Developing automated systems is crucial for consistent and high-quality islet purification.

Purpose of the Study:

  • To develop and evaluate a closed, automated purification system (APS) for human islet isolation.
  • To customize density gradient profiles for standardized and optimized islet purification.
  • To compare the APS with standard manual gradient makers (SGM) in terms of efficiency and islet quality.

Main Methods:

  • Human pancreata were processed, and islets were purified using both SGM and APS with continuous density gradient centrifugation.
  • The APS utilized computer-controlled pumps for gradient customization (linear and nonlinear).
  • Quality control included islet equivalent yield, purity, in vitro function, and cytokine expression analysis.

Main Results:

  • The APS achieved higher recovery of the expected gradient volume (98.2% vs. 90.0%, p < 0.05).
  • Islet yield and purity were comparable between APS and SGM methods.
  • APS-purified islets showed decreased expression of proinflammatory cytokines (MCP-1, IL-6, IL-8), suggesting reduced stress.

Conclusions:

  • The automated purification system (APS) provides a feasible and gentle method for human islet separation.
  • APS facilitates standardization of islet purification according to current Good Manufacturing Practice (cGMP) standards.
  • The system shows potential for improving the consistency and quality of islets for transplantation.