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Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays
- Source :
- Cell Systems. 6:636-653
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
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. The goal of phenotypic image analysis is to recognize variations in cellular properties using image data—either measurements extracted by image analysis software or directly from the raw pixel values. In this review, we describe free and open-source software tools that are currently available for exploring and quantifying phenotypes in image-based cellular assays. We discuss some of the main challenges, current trends, and future research directions in phenotypic image analysis.
- Subjects :
- Big Data
0301 basic medicine
Histology
Computer science
phenotypic image analysi
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
cell classification
Bioinformatik och systembiologi
high-content screening
Field (computer science)
Pathology and Forensic Medicine
Machine Learning
03 medical and health sciences
Software
Phenomics
Image Processing, Computer-Assisted
Animals
Humans
drug screening
single-cell analysi
Image analysis
Microscopy
Bioinformatics and Systems Biology
business.industry
Perspective (graphical)
Cell Biology
Data science
High-Throughput Screening Assays
Phenotype
030104 developmental biology
High-content screening
oncology
Key (cryptography)
freely available tool
phenomic
business
Strengths and weaknesses
Subjects
Details
- ISSN :
- 24054712
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Cell Systems
- Accession number :
- edsair.doi.dedup.....25bde5db37a9fc8e90e96d533fb69dc3