Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays.
Cell Syst
; 6(6): 636-653, 2018 06 27.
Article
em En
| MEDLINE
| ID: mdl-29953863
ABSTRACT
Phenotypic image analysis is the task of recognizing variations in cell properties using microscopic image data. These variations, produced through a complex web of interactions between genes and the environment, may hold the key to uncover important biological phenomena or to understand the response to a drug candidate. Today, phenotypic analysis is rarely performed completely by hand. The abundance of high-dimensional image data produced by modern high-throughput microscopes necessitates computational solutions. Over the past decade, a number of software tools have been developed to address this need. They use statistical learning methods to infer relationships between a cell's phenotype and data from the image. In this review, we examine the strengths and weaknesses of non-commercial phenotypic image analysis software, cover recent developments in the field, identify challenges, and give a perspective on future possibilities.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
/
Ensaios de Triagem em Larga Escala
Limite:
Animals
/
Humans
Idioma:
En
Revista:
Cell Syst
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Suécia