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Chrysalis: A New Method for High-Throughput Histo-Cytometry Analysis of Images and Movies.
Kotov, Dmitri I; Pengo, Thomas; Mitchell, Jason S; Gastinger, Matthew J; Jenkins, Marc K.
Afiliação
  • Kotov DI; Center for Immunology, University of Minnesota, Minneapolis, MN 55455; kotov003@umn.edu.
  • Pengo T; Department of Microbiology and Immunology, University of Minnesota, Minneapolis, MN 55455.
  • Mitchell JS; University of Minnesota Informatics Institute, University of Minnesota Twin Cities, Minneapolis, MN 55455.
  • Gastinger MJ; Center for Immunology, University of Minnesota, Minneapolis, MN 55455.
  • Jenkins MK; University Imaging Centers, University of Minnesota, Minneapolis, MN 55455.
J Immunol ; 202(1): 300-308, 2019 01 01.
Article em En | MEDLINE | ID: mdl-30510065
Advances in imaging have led to the development of powerful multispectral, quantitative imaging techniques, like histo-cytometry. The utility of this approach is limited, however, by the need for time consuming manual image analysis. We therefore developed the software Chrysalis and a group of Imaris Xtensions to automate this process. The resulting automation allowed for high-throughput histo-cytometry analysis of three-dimensional confocal microscopy and two-photon time-lapse images of T cell-dendritic cell interactions in mouse spleens. It was also applied to epi-fluorescence images to quantify T cell localization within splenic tissue by using a "signal absorption" strategy that avoids computationally intensive distance measurements. In summary, this image processing and analysis software makes histo-cytometry more useful for immunology applications by automating image analysis.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Células Dendríticas / Processamento de Imagem Assistida por Computador / Software / Linfócitos T / Sinapses Imunológicas Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Células Dendríticas / Processamento de Imagem Assistida por Computador / Software / Linfócitos T / Sinapses Imunológicas Idioma: En Ano de publicação: 2019 Tipo de documento: Article