Prospective identification of hematopoietic lineage choice by deep learning.
Nat Methods
; 14(4): 403-406, 2017 Apr.
Article
em En
| MEDLINE
| ID: mdl-28218899
ABSTRACT
Differentiation alters molecular properties of stem and progenitor cells, leading to changes in their shape and movement characteristics. We present a deep neural network that prospectively predicts lineage choice in differentiating primary hematopoietic progenitors using image patches from brightfield microscopy and cellular movement. Surprisingly, lineage choice can be detected up to three generations before conventional molecular markers are observable. Our approach allows identification of cells with differentially expressed lineage-specifying genes without molecular labeling.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
/
Células-Tronco Hematopoéticas
/
Redes Neurais de Computação
/
Imagem com Lapso de Tempo
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Animals
Idioma:
En
Revista:
Nat Methods
Assunto da revista:
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Alemanha