.png){kind=icon}
Return
Image-based cell phenotyping with deep learning
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cbpa.2021.04.001.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A cell's phenotype is the culmination of several cellular processes through a complex network of molecular interactions that ultimately result in a unique morphological signature. Visual cell phenotyping is the characterization and quantification of these observable cellular traits in images. Recently, cellular phenotyping has undergone a massive overhaul in terms of scale, resolution, and throughput, which is attributable to advances across electronic, optical, and chemical technologies for imaging cells. Coupled with the rapid acceleration of deep learning-based computational tools, these advances have opened up new avenues for innovation across a wide variety of high-throughput cell biology applications. Here, we review applications wherein deep learning is powering the recognition, profiling, and prediction of visual phenotypes to answer important biological questions. As the complexity and scale of imaging assays increase, deep learning offers computational solutions to elucidate the details of previously unexplored cellular phenotypes.
Keywords:
Deep learning
Cell phenotyping
Phenotypic screening
Image
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.1
Papers:
3.1K
Citations:
1.1W
Organization
Cited Papers
Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients.png)
NATURE CANCER
OAAI
NATURE CANCERIF28.5
OAAIShareSaveShareSaveShareSavenucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style TransferCELL SYSTEMS
OAAI
CELL SYSTEMSIF7.7
OAAIShareSaveShareSaveDeep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell DifferentiationSTEM CELL REPORTSOAAI
STEM CELL REPORTSIF5.1
OAAIShareSaveClassification and mutation prediction from non-small cell lung cancer histopathology images using deep learningNATURE MEDICINEOAAI
NATURE MEDICINEIF50
OAAIShareSaveShareSave
View more