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TITAN: An end-to-end data analysis environment for the Hyperion™ imaging system.
Thirumal, Sindhura; Jamzad, Amoon; Cotechini, Tiziana; Hindmarch, Charles T; Graham, Charles H; Siemens, D Robert; Mousavi, Parvin.
  • Thirumal S; School of Computing, Queen's University, Kingston, Canada.
  • Jamzad A; School of Computing, Queen's University, Kingston, Canada.
  • Cotechini T; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Canada.
  • Hindmarch CT; Department of Medicine, Queen's University, Kingston, Canada.
  • Graham CH; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Canada.
  • Siemens DR; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Canada.
  • Mousavi P; Department of Urology, Queen's University, Kingston, Canada.
Cytometry A ; 101(5): 423-433, 2022 05.
Article in English | MEDLINE | ID: covidwho-1640695
ABSTRACT
Imaging Mass Cytometry (IMC) is a powerful high-throughput technique enabling resolution of up to 37 markers in a single fixed tissue section while also preserving in situ spatial relationships. Currently, IMC processing and analysis necessitates the use of multiple different software, labour-intensive pipeline development, different operating systems and knowledge of bioinformatics, all of which are a barrier to many potential users. Here we present TITAN - an open-source, single environment, end-to-end pipeline that can be utilized for image visualization, segmentation, analysis and export of IMC data. TITAN is implemented as an extension within the publicly available 3D Slicer software. We demonstrate the utility, application, reliability and comparability of TITAN using publicly available IMC data from recently-published breast cancer and COVID-19 lung injury studies. Compared with current IMC analysis methods, TITAN provides a user-friendly, efficient single environment to accurately visualize, segment, and analyze IMC data for all users.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Analysis / COVID-19 Limits: Humans Language: English Journal: Cytometry A Year: 2022 Document Type: Article Affiliation country: Cyto.a.24535

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Analysis / COVID-19 Limits: Humans Language: English Journal: Cytometry A Year: 2022 Document Type: Article Affiliation country: Cyto.a.24535