histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data.

Schapiro, Denis; Jackson, Hartland W; Raghuraman, Swetha; Fischer, Jana R; Zanotelli, Vito R T; Schulz, Daniel; Giesen, Charlotte; Catena, Raúl; Varga, Zsuzsanna; Bodenmiller, Bernd

Schapiro, Denis; Jackson, Hartland W; Raghuraman, Swetha; Fischer, Jana R; Zanotelli, Vito R T; Schulz, Daniel; Giesen, Charlotte; Catena, Raúl; Varga, Zsuzsanna; Bodenmiller, Bernd.

Afiliação

Schapiro D; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Jackson HW; Life Science Zurich Graduate School, ETH Zurich and University of Zurich, Zurich, Switzerland.
Raghuraman S; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Fischer JR; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Zanotelli VRT; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Schulz D; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Giesen C; Life Science Zurich Graduate School, ETH Zurich and University of Zurich, Zurich, Switzerland.
Catena R; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Varga Z; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Bodenmiller B; Institute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.

Nat Methods ; 14(9): 873-876, 2017 Sep.

Article em En | MEDLINE | ID: mdl-28783155

ABSTRACT

ABSTRACT

Single-cell, spatially resolved omics analysis of tissues is poised to transform biomedical research and clinical practice. We have developed an open-source, computational histology topography cytometry analysis toolbox (histoCAT) to enable interactive, quantitative, and comprehensive exploration of individual cell phenotypes, cell-cell interactions, microenvironments, and morphological structures within intact tissues. We highlight the unique abilities of histoCAT through analysis of highly multiplexed mass cytometry images of human breast cancer tissues.

Assuntos

Comunicação Celular/fisiologia; Citometria de Fluxo/métodos; Imagem Molecular/métodos; Proteoma/metabolismo; Software; Análise Serial de Tecidos/métodos; Algoritmos; Interpretação de Imagem Assistida por Computador/métodos; Interface Usuário-Computador

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Comunicação Celular / Proteoma / Análise Serial de Tecidos / Imagem Molecular / Citometria de Fluxo Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Suíça

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google