Open AccessComputer-Assisted Digital Image Analysis to Quantify the Mass and Purity of Isolated Human Islets Before Transplantation
Author(s) -
Nadja Niclauss,
Antonino Sgroi,
Philippe Morel,
Reto M. Baertschiger,
Mathieu Armanet,
Anne Wojtusciszyn,
Géraldine Parnaud,
Yannick D. Müller,
Thierry Berney,
Domenico Bosco
Publication year - 2008
Publication title -
transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.45
H-Index - 204
eISSN - 1534-6080
pISSN - 0041-1337
DOI - 10.1097/tp.0b013e31818f671a
Subject(s) - islet , transplantation , digital image analysis , digital image , computer science , mathematics , biomedical engineering , artificial intelligence , image processing , biology , medicine , computer vision , diabetes mellitus , endocrinology , image (mathematics)
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.