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Data-analysis strategies for image-based cell profiling

Nature methods, 2017-09, Vol.14 (9), p.849-863 [Peer Reviewed Journal]

COPYRIGHT 2017 Nature Publishing Group ;Copyright Nature Publishing Group Sep 2017 ;The Author(s) 2017 ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/NMETH.4397 ;PMID: 28858338

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Title:
Data-analysis strategies for image-based cell profiling
Author: Caicedo, Juan C ; Cooper, Sam ; Heigwer, Florian ; Warchal, Scott ; Qiu, Peng ; Molnar, Csaba ; Vasilevich, Aliaksei S ; Barry, Joseph D ; Bansal, Harmanjit Singh ; Kraus, Oren ; Wawer, Mathias ; Paavolainen, Lassi ; Herrmann, Markus D ; Rohban, Mohammad ; Hung, Jane ; Hennig, Holger ; Concannon, John ; Smith, Ian ; Clemons, Paul A ; Singh, Shantanu ; Rees, Paul ; Horvath, Peter ; Linington, Roger G ; Carpenter, Anne E
Subjects: Algorithms ; Animals ; Cell Tracking - methods ; Data analysis ; Data Interpretation, Statistical ; Data processing ; High-Throughput Screening Assays - methods ; Humans ; Image acquisition ; Image Interpretation, Computer-Assisted - methods ; Image processing ; Image quality ; Laboratories ; Laboratory tests ; Machine Learning ; Methods ; Microscopy ; Microscopy - methods ; Organic chemistry ; Pattern Recognition, Automated - methods ; Tissue Array Analysis - methods ; Workflow
Is Part Of: Nature methods, 2017-09, Vol.14 (9), p.849-863
Description: Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic differences among a variety of cell populations. It paves the way to studying biological systems on a large scale by using chemical and genetic perturbations. The general workflow for this technology involves image acquisition with high-throughput microscopy systems and subsequent image processing and analysis. Here, we introduce the steps required to create high-quality image-based (i.e., morphological) profiles from a collection of microscopy images. We recommend techniques that have proven useful in each stage of the data analysis process, on the basis of the experience of 20 laboratories worldwide that are refining their image-based cell-profiling methodologies in pursuit of biological discovery. The recommended techniques cover alternatives that may suit various biological goals, experimental designs, and laboratories' preferences.
Publisher: United States: Nature Publishing Group
Language: English
Identifier: ISSN: 1548-7091
EISSN: 1548-7105
DOI: 10.1038/NMETH.4397
PMID: 28858338
Source: MEDLINE
ProQuest Central

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Data-analysis strategies for image-based cell profiling

COPYRIGHT 2017 Nature Publishing Group ;Copyright Nature Publishing Group Sep 2017 ;The Author(s) 2017 ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/NMETH.4397 ;PMID: 28858338

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