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Fast Adipogenesis Tracking System (FATS)—a robust, high-throughput, automation-ready adipogenesis quantification technique
Adipogenesis is essential in in vitro experimentation to assess differentiation capability of stem cells, and therefore, its accurate measurement is important. Quantitative analysis of adipogenic levels, however, is challenging and often susceptible to errors due to non-specific reading or manual es...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341617/ https://www.ncbi.nlm.nih.gov/pubmed/30670100 http://dx.doi.org/10.1186/s13287-019-1141-0 |
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author | Yuan, Chengxiang Chakraborty, Smarajit Chitta, Krishna Kanth Subramanian, Subha Lim, Tau En Han, Weiping Bhanu Prakash, K. N. Sugii, Shigeki |
author_facet | Yuan, Chengxiang Chakraborty, Smarajit Chitta, Krishna Kanth Subramanian, Subha Lim, Tau En Han, Weiping Bhanu Prakash, K. N. Sugii, Shigeki |
author_sort | Yuan, Chengxiang |
collection | PubMed |
description | Adipogenesis is essential in in vitro experimentation to assess differentiation capability of stem cells, and therefore, its accurate measurement is important. Quantitative analysis of adipogenic levels, however, is challenging and often susceptible to errors due to non-specific reading or manual estimation by observers. To this end, we developed a novel adipocyte quantification algorithm, named Fast Adipogenesis Tracking System (FATS), based on computer vision libraries. The FATS algorithm is versatile and capable of accurately detecting and quantifying percentage of cells undergoing adipogenic and browning differentiation even under difficult conditions such as the presence of large cell clumps or high cell densities. The algorithm was tested on various cell lines including 3T3-L1 cells, adipose-derived mesenchymal stem cells (ASCs), and induced pluripotent stem cell (iPSC)-derived cells. The FATS algorithm is particularly useful for adipogenic measurement of embryoid bodies derived from pluripotent stem cells and was capable of accurately distinguishing adipogenic cells from false-positive stains. We then demonstrate the effectiveness of the FATS algorithm for screening of nuclear receptor ligands that affect adipogenesis in the high-throughput manner. Together, the FATS offer a universal and automated image-based method to quantify adipocyte differentiation of different cell lines in both standard and high-throughput workflows. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13287-019-1141-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6341617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63416172019-01-24 Fast Adipogenesis Tracking System (FATS)—a robust, high-throughput, automation-ready adipogenesis quantification technique Yuan, Chengxiang Chakraborty, Smarajit Chitta, Krishna Kanth Subramanian, Subha Lim, Tau En Han, Weiping Bhanu Prakash, K. N. Sugii, Shigeki Stem Cell Res Ther Method Adipogenesis is essential in in vitro experimentation to assess differentiation capability of stem cells, and therefore, its accurate measurement is important. Quantitative analysis of adipogenic levels, however, is challenging and often susceptible to errors due to non-specific reading or manual estimation by observers. To this end, we developed a novel adipocyte quantification algorithm, named Fast Adipogenesis Tracking System (FATS), based on computer vision libraries. The FATS algorithm is versatile and capable of accurately detecting and quantifying percentage of cells undergoing adipogenic and browning differentiation even under difficult conditions such as the presence of large cell clumps or high cell densities. The algorithm was tested on various cell lines including 3T3-L1 cells, adipose-derived mesenchymal stem cells (ASCs), and induced pluripotent stem cell (iPSC)-derived cells. The FATS algorithm is particularly useful for adipogenic measurement of embryoid bodies derived from pluripotent stem cells and was capable of accurately distinguishing adipogenic cells from false-positive stains. We then demonstrate the effectiveness of the FATS algorithm for screening of nuclear receptor ligands that affect adipogenesis in the high-throughput manner. Together, the FATS offer a universal and automated image-based method to quantify adipocyte differentiation of different cell lines in both standard and high-throughput workflows. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13287-019-1141-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-22 /pmc/articles/PMC6341617/ /pubmed/30670100 http://dx.doi.org/10.1186/s13287-019-1141-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method Yuan, Chengxiang Chakraborty, Smarajit Chitta, Krishna Kanth Subramanian, Subha Lim, Tau En Han, Weiping Bhanu Prakash, K. N. Sugii, Shigeki Fast Adipogenesis Tracking System (FATS)—a robust, high-throughput, automation-ready adipogenesis quantification technique |
title | Fast Adipogenesis Tracking System (FATS)—a robust, high-throughput, automation-ready adipogenesis quantification technique |
title_full | Fast Adipogenesis Tracking System (FATS)—a robust, high-throughput, automation-ready adipogenesis quantification technique |
title_fullStr | Fast Adipogenesis Tracking System (FATS)—a robust, high-throughput, automation-ready adipogenesis quantification technique |
title_full_unstemmed | Fast Adipogenesis Tracking System (FATS)—a robust, high-throughput, automation-ready adipogenesis quantification technique |
title_short | Fast Adipogenesis Tracking System (FATS)—a robust, high-throughput, automation-ready adipogenesis quantification technique |
title_sort | fast adipogenesis tracking system (fats)—a robust, high-throughput, automation-ready adipogenesis quantification technique |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341617/ https://www.ncbi.nlm.nih.gov/pubmed/30670100 http://dx.doi.org/10.1186/s13287-019-1141-0 |
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