Developing a Rapid Algorithm to Enable Rapid Characterization of Alginate Microcapsules

The islets of Langerhans are endocrine tissue clusters that secrete hormones that regulate the body's glucose, carbohydrate, and fat metabolism, the most important of which is insulin, a hormone secreted by β-cells within the islets. In certain instances, a person's own immune system attac...

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Main Authors: Ka Hei Chan, Rahul Krishnan, Michael Alexander, Jonathan R. T. Lakey Ph.D.
Format: Article
Language:English
Published: SAGE Publishing 2017-05-01
Series:Cell Transplantation
Online Access:https://doi.org/10.3727/096368916X693446
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spelling doaj-45ce858b7616453480a969e356e81cb42020-11-25T03:20:54ZengSAGE PublishingCell Transplantation0963-68971555-38922017-05-012610.3727/096368916X693446Developing a Rapid Algorithm to Enable Rapid Characterization of Alginate MicrocapsulesKa Hei Chan0Rahul Krishnan1Michael Alexander2Jonathan R. T. Lakey Ph.D.3 Department of Surgery, University of California, Irvine, CA, USA Department of Surgery, University of California, Irvine, CA, USA Department of Surgery, University of California, Irvine, CA, USA Department of Biomedical Engineering, University of California, Irvine, CA, USAThe islets of Langerhans are endocrine tissue clusters that secrete hormones that regulate the body's glucose, carbohydrate, and fat metabolism, the most important of which is insulin, a hormone secreted by β-cells within the islets. In certain instances, a person's own immune system attacks and destroys them, leading to the development of type 1 diabetes (T1D), a life-long condition that needs daily insulin administration to maintain health and prolong survival. Islet transplantation is a surgical procedure that has demonstrated the ability to normalize blood sugar levels for up to a few years, but the need for chronic immunosuppression relegates it to a last resort that is often only used sparingly and in seriously ill patients. Islet microencapsulation is a biomedical innovation designed to protect islets from the immune system by coating them with a biocompatible polymer, and this new technology has demonstrated various degrees of success in small- and large-animal studies. This success is significantly impacted by microcapsule morphology and encapsulation efficiency. Since hundreds of thousands of microcapsules are generated during the process, characterization of encapsulated islets without the help of some degree of automation would be difficult, time-consuming, and error prone due to inherent observer bias. We have developed an image analysis algorithm that can analyze hundreds of microencapsulated islets and characterize their size, shape, circularity, and distortion with minimal observer bias. This algorithm can be easily adapted to similar nano- or microencapsulation technologies to implement stricter quality control and improve biomaterial device design and success.https://doi.org/10.3727/096368916X693446
collection DOAJ
language English
format Article
sources DOAJ
author Ka Hei Chan
Rahul Krishnan
Michael Alexander
Jonathan R. T. Lakey Ph.D.
spellingShingle Ka Hei Chan
Rahul Krishnan
Michael Alexander
Jonathan R. T. Lakey Ph.D.
Developing a Rapid Algorithm to Enable Rapid Characterization of Alginate Microcapsules
Cell Transplantation
author_facet Ka Hei Chan
Rahul Krishnan
Michael Alexander
Jonathan R. T. Lakey Ph.D.
author_sort Ka Hei Chan
title Developing a Rapid Algorithm to Enable Rapid Characterization of Alginate Microcapsules
title_short Developing a Rapid Algorithm to Enable Rapid Characterization of Alginate Microcapsules
title_full Developing a Rapid Algorithm to Enable Rapid Characterization of Alginate Microcapsules
title_fullStr Developing a Rapid Algorithm to Enable Rapid Characterization of Alginate Microcapsules
title_full_unstemmed Developing a Rapid Algorithm to Enable Rapid Characterization of Alginate Microcapsules
title_sort developing a rapid algorithm to enable rapid characterization of alginate microcapsules
publisher SAGE Publishing
series Cell Transplantation
issn 0963-6897
1555-3892
publishDate 2017-05-01
description The islets of Langerhans are endocrine tissue clusters that secrete hormones that regulate the body's glucose, carbohydrate, and fat metabolism, the most important of which is insulin, a hormone secreted by β-cells within the islets. In certain instances, a person's own immune system attacks and destroys them, leading to the development of type 1 diabetes (T1D), a life-long condition that needs daily insulin administration to maintain health and prolong survival. Islet transplantation is a surgical procedure that has demonstrated the ability to normalize blood sugar levels for up to a few years, but the need for chronic immunosuppression relegates it to a last resort that is often only used sparingly and in seriously ill patients. Islet microencapsulation is a biomedical innovation designed to protect islets from the immune system by coating them with a biocompatible polymer, and this new technology has demonstrated various degrees of success in small- and large-animal studies. This success is significantly impacted by microcapsule morphology and encapsulation efficiency. Since hundreds of thousands of microcapsules are generated during the process, characterization of encapsulated islets without the help of some degree of automation would be difficult, time-consuming, and error prone due to inherent observer bias. We have developed an image analysis algorithm that can analyze hundreds of microencapsulated islets and characterize their size, shape, circularity, and distortion with minimal observer bias. This algorithm can be easily adapted to similar nano- or microencapsulation technologies to implement stricter quality control and improve biomaterial device design and success.
url https://doi.org/10.3727/096368916X693446
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