Validation of methodologies for quantifying isolated human islets: an islet cell resources study
Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation of methodologies for quantifying isolated human islets: an islet cell resources study. Clin Transplant 2009 DOI: 10.1111/j.1399‐0012.2009.01...
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Published in | Clinical transplantation Vol. 24; no. 2; pp. 236 - 242 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Oxford, UK
Blackwell Publishing Ltd
01.03.2010
Wiley |
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Abstract | Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation of methodologies for quantifying isolated human islets: an islet cell resources study.
Clin Transplant 2009 DOI: 10.1111/j.1399‐0012.2009.01052.x.
© 2009 John Wiley & Sons A/S.
: Background: Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes.
Methods: This multi‐center study involved all eight member institutions of the National Institutes of Health‐supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone‐stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra‐observer variability), and intermediate precision (inter‐observer variability). The secondary aim of the study was to evaluate a new software‐assisted digital image analysis method as a supplement for islet quantification.
Results: The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software‐assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method.
Conclusions: Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer‐assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice. |
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AbstractList | BACKGROUNDQuantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. METHODSThis multi-center study involved all eight member institutions of the National Institutes of Health-supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone-stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra-observer variability), and intermediate precision (inter-observer variability). The secondary aim of the study was to evaluate a new software-assisted digital image analysis method as a supplement for islet quantification. RESULTSThe study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software-assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. CONCLUSIONSStandard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer-assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice. Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation of methodologies for quantifying isolated human islets: an islet cell resources study. Clin Transplant 2009 DOI: 10.1111/j.1399‐0012.2009.01052.x. © 2009 John Wiley & Sons A/S. : Background: Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. Methods: This multi‐center study involved all eight member institutions of the National Institutes of Health‐supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone‐stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra‐observer variability), and intermediate precision (inter‐observer variability). The secondary aim of the study was to evaluate a new software‐assisted digital image analysis method as a supplement for islet quantification. Results: The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software‐assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. Conclusions: Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer‐assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice. Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. This multi-center study involved all eight member institutions of the National Institutes of Health-supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone-stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra-observer variability), and intermediate precision (inter-observer variability). The secondary aim of the study was to evaluate a new software-assisted digital image analysis method as a supplement for islet quantification. The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software-assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer-assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice. Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation of methodologies for quantifying isolated human islets: an islet cell resources study. Clin Transplant 2009 DOI: 10.1111/j.1399‐0012.2009.01052.x. © 2009 John Wiley & Sons A/S. Abstract: Background: Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic intervention for select patients with type I diabetes. Methods: This multi‐center study involved all eight member institutions of the National Institutes of Health‐supported Islet Cell Resources Consortium. The study was designed to validate the standard counting procedure for quantifying isolated, dithizone‐stained human islets as a reliable methodology by ascertaining the accuracy, repeatability (intra‐observer variability), and intermediate precision (inter‐observer variability). The secondary aim of the study was to evaluate a new software‐assisted digital image analysis method as a supplement for islet quantification. Results: The study demonstrated the accuracy, repeatability and intermediate precision of the standard counting procedure for isolated human islets. This study also demonstrated that software‐assisted digital image analysis as a supplemental method for islet quantification was more accurate and consistent than the standard manual counting method. Conclusions: Standard counting procedures for enumerating isolated stained human islets is a valid methodology, but computer‐assisted digital image analysis assessment of islet mass has the added benefit of providing a permanent record of the isolated islet product being evaluated that improves quality assurance operations of current good manufacturing practice. |
Author | Hering, B.J. Naji, A. Kaufman, D.B. Niland, J.C. Olack, B. Oberholzer, J. Stiller, T. Ricordi, C. Fernandez, L. Contreras, J. Kissler, H.J. Kandeel, F. Sowinski, J. |
AuthorAffiliation | 1 Northwestern University, Department of Surgery, Chicago, IL 60611 8 University of Alabama 2 City of Hope, Department of Information Science, Duarte, CA 91010 7 University of Wisconsin 5 University of Pennsylvania 6 University of Illinois 3 University of Miami 4 University of Minnesota |
AuthorAffiliation_xml | – name: 5 University of Pennsylvania – name: 8 University of Alabama – name: 6 University of Illinois – name: 3 University of Miami – name: 1 Northwestern University, Department of Surgery, Chicago, IL 60611 – name: 4 University of Minnesota – name: 2 City of Hope, Department of Information Science, Duarte, CA 91010 – name: 7 University of Wisconsin |
Author_xml | – sequence: 1 givenname: H.J. surname: Kissler fullname: Kissler, H.J. organization: Department of Surgery, Northwestern University, Chicago, IL – sequence: 2 givenname: J.C. surname: Niland fullname: Niland, J.C. organization: City of Hope, Department of Information Science, Duarte, CA, USA – sequence: 3 givenname: B. surname: Olack fullname: Olack, B. organization: City of Hope, Department of Information Science, Duarte, CA, USA – sequence: 4 givenname: C. surname: Ricordi fullname: Ricordi, C. organization: University of Miami – sequence: 5 givenname: B.J. surname: Hering fullname: Hering, B.J. organization: University of Minnesota – sequence: 6 givenname: A. surname: Naji fullname: Naji, A. organization: University of Pennsylvania – sequence: 7 givenname: F. surname: Kandeel fullname: Kandeel, F. organization: Department of Diabetes, Metabolism and Endocrinology, City of Hope, Duarte, CA, USA – sequence: 8 givenname: J. surname: Oberholzer fullname: Oberholzer, J. organization: University of Illinois – sequence: 9 givenname: L. surname: Fernandez fullname: Fernandez, L. organization: University of Wisconsin – sequence: 10 givenname: J. surname: Contreras fullname: Contreras, J. organization: University of Alabama and – sequence: 11 givenname: T. surname: Stiller fullname: Stiller, T. organization: City of Hope, Department of Information Science, Duarte, CA, USA – sequence: 12 givenname: J. surname: Sowinski fullname: Sowinski, J. organization: City of Hope, Department of Information Science, Duarte, CA, USA – sequence: 13 givenname: D.B. surname: Kaufman fullname: Kaufman, D.B. organization: Department of Surgery, Northwestern University, Chicago, IL |
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Keywords | Human capital Methodology Langerhans islet Transplantation Medicine Test validation Image analysis Treatment Surgery Quality control Isolated cell Graft Islets of Langerhans Endocrine pancreas Quantitative analysis |
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Snippet | Kissler HJ, Niland JC, Olack B, Ricordi C, Hering B J, Naji A, Kandeel F, Oberholzer J, Fernandez L, Contreras J, Stiller T, Sowinski J, Kaufman DB. Validation... Quantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a therapeutic... BACKGROUNDQuantification of islet mass is a crucial criterion for defining the quality of the islet product ensuring a potent islet transplant when used as a... |
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SubjectTerms | Biological and medical sciences Cell Separation - methods Cell Size Delphi Technique Flow Cytometry Fundamental and applied biological sciences. Psychology Fundamental immunology Humans image analysis Image Processing, Computer-Assisted - methods Islets of Langerhans Islets of Langerhans - cytology Islets of Langerhans Transplantation - methods Medical sciences quality control Reproducibility of Results Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases Tissue, organ and graft immunology |
Title | Validation of methodologies for quantifying isolated human islets: an islet cell resources study |
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