Prospective identification of hematopoietic lineage choice by deep learning.
Nat Methods
; 14(4): 403-406, 2017 Apr.
Article
en 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
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
/
Células Madre Hematopoyéticas
/
Redes Neurales de la Computación
/
Imagen de Lapso de Tiempo
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Animals
Idioma:
En
Revista:
Nat Methods
Asunto de la revista:
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Año:
2017
Tipo del documento:
Article
País de afiliación:
Alemania