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Adjacent Cell Marker Lateral Spillover Compensation and Reinforcement for Multiplexed Images.
Bai, Yunhao; Zhu, Bokai; Rovira-Clave, Xavier; Chen, Han; Markovic, Maxim; Chan, Chi Ngai; Su, Tung-Hung; McIlwain, David R; Estes, Jacob D; Keren, Leeat; Nolan, Garry P; Jiang, Sizun.
Afiliación
  • Bai Y; Department of Pathology, Stanford University, Stanford, CA, United States.
  • Zhu B; Department of Chemistry, Stanford University, Stanford, CA, United States.
  • Rovira-Clave X; Department of Pathology, Stanford University, Stanford, CA, United States.
  • Chen H; Department of Microbiology and Immunology, Stanford University, Stanford, CA, United States.
  • Markovic M; Department of Pathology, Stanford University, Stanford, CA, United States.
  • Chan CN; Department of Pathology, Stanford University, Stanford, CA, United States.
  • Su TH; Department of Pathology, Stanford University, Stanford, CA, United States.
  • McIlwain DR; Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR, United States.
  • Estes JD; Department of Pathology, Stanford University, Stanford, CA, United States.
  • Keren L; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Nolan GP; Department of Pathology, Stanford University, Stanford, CA, United States.
  • Jiang S; Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR, United States.
Front Immunol ; 12: 652631, 2021.
Article en En | MEDLINE | ID: mdl-34295327
Multiplex imaging technologies are now routinely capable of measuring more than 40 antibody-labeled parameters in single cells. However, lateral spillage of signals in densely packed tissues presents an obstacle to the assignment of high-dimensional spatial features to individual cells for accurate cell-type annotation. We devised a method to correct for lateral spillage of cell surface markers between adjacent cells termed REinforcement Dynamic Spillover EliminAtion (REDSEA). The use of REDSEA decreased contaminating signals from neighboring cells. It improved the recovery of marker signals across both isotopic (i.e., Multiplexed Ion Beam Imaging) and immunofluorescent (i.e., Cyclic Immunofluorescence) multiplexed images resulting in a marked improvement in cell-type classification.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Linaje de la Célula / Imagen Molecular Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: Front Immunol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Linaje de la Célula / Imagen Molecular Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: Front Immunol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza