Computer-Assisted Digital Image Analysis to Quantify the Mass and Purity of Isolated Human Islets Before Transplantation

Details

Serval ID
serval:BIB_0E43F3288C5E
Type
Article: article from journal or magazin.
Collection
Publications
Title
Computer-Assisted Digital Image Analysis to Quantify the Mass and Purity of Isolated Human Islets Before Transplantation
Journal
Transplantation
Author(s)
Niclauss N., Sgroi A., Morel P., Baertschiger R., Armanet M., Wojtusciszyn A., Parnaud G., Muller Y., Berney T., Bosco D.
ISSN
0041-1337
Publication state
Published
Issued date
2008
Volume
86
Number
11
Pages
1603-1609
Language
english
Notes
385uk
Times Cited:29
Cited References Count:9
Abstract
Background. Accurate determination of islet purity and mass before transplantation is an essential part of quality control. The standard method is based on manual evaluation of these parameters and thus Subjective and prone to errors. Therefore, we developed a computerized approach aimed at evaluating more objectively the number and purity of isolated human islets.
Methods. Islets were isolated and purified from human pancreata according to a standard method. For each preparation, two samples were dithizone stained. One sample was analyzed manually by microscopy, following the standard procedure, and the other was digitally photographed for both digital manual and Computerized analyses. Computerized analysis was performed using the MetaMorph and ImageJ softwares to automatically quantify purity and size of islets. Islet equivalent (IEQ) number was calculated using the Ricordi algorithm or considering the individual volume of each islet. Computerized analysis was validated using calibrated red glass microspheres.
Results. When digital manual and computerized analyses were compared, mean values of total islet number, IEQ number calculated using the Ricordi algorithm, and purity were similar. Comparisons of individual values showed good correlations (r(2)>= 0.89). By standard manual analysis, total islet number and purity were higher and IEQ number similar compared with digital manual and computerized analyses. IEQ number was 10% lower (P<0.0001) when calculated using individual sphere volumes compared with the Ricordi algorithm. Measurement of red glass microspheres showed identical values comparing standard manual and computerized analyses.
Conclusions. Computer-assisted digital image analysis is an objective and a reliable method for analyzing pancreatic islets before transplantation.
Keywords
human islet, islet isolation, transplantation, quality control, graft
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Create date
14/06/2021 8:59
Last modification date
18/09/2021 5:38
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