Quantification of the Islet Product: Presentation of a Standardized Current Good Manufacturing Practices Compliant System With Minimal Variability
2011 (English)In: Transplantation, ISSN 0041-1337, E-ISSN 1534-6080, Vol. 91, no 6, 677-683 p.Article in journal (Refereed) Published
Background. Accurate islet quantification has proven difficult to standardize in a good manufacturing practices (GMP) approved manner. Methods. The influence of assessment variables from both manual and computer-assisted digital image analysis (DIA) methods were compared using calibrated, standardized microspheres or islets alone. Additionally, a mixture of microspheres and exocrine tissue was used to evaluate the variability of both the current, internationally recognized, manual method and a novel GMP-friendly purity-and volume-based method (PV) evaluated by DIA in a semiclosed, culture bag system. Results. Computer-assisted DIA recorded known microsphere size distribution and quantities accurately. By using DIA to evaluate islets, the interindividual manually evaluated percent coefficients of variation (CV%; n = 14) were reduced by almost half for both islet equivalents (IEs; 31% vs. 17%, P = 0.002) and purity (20% vs. 13%, P = 0.033). The microsphere pool mixed with exocrine tissue did not differ from expected IE with either method. However, manual IE resulted in a total CV% of 44.3% and a range spanning 258 kIE, whereas PV resulted in CV% of 10.7% and range of 60 k IE. Purity CV% for each method were similar approximating 10.5% and differed from expected by +7% for the manual method and +3% for PV. Conclusion. The variability of standard counting methods for islet samples and clinical quantities of microspheres mixed with exocrine tissue were reduced with DIA. They were reduced even further by use of a semiclosed bag system compared with standard manual counting, thereby facilitating the standardization of islet evaluation according to GMP standards.
Place, publisher, year, edition, pages
2011. Vol. 91, no 6, 677-683 p.
Islet evaluation, Digital imaging analysis, Purity, Volume, GMP
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:uu:diva-149562DOI: 10.1097/TP.0b013e31820ae48eISI: 000288115800023PubMedID: 21248660OAI: oai:DiVA.org:uu-149562DiVA: diva2:405274