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A computational image analysis glossary for biologists

Roeder, Adrienne H. K. and Cunha, Alexandre and Burl, Michael C. and Meyerowitz, Elliot M. (2012) A computational image analysis glossary for biologists. Development, 139 (17). pp. 3071-3080. ISSN 0950-1991. doi:10.1242/dev.076414. https://resolver.caltech.edu/CaltechAUTHORS:20120927-145601214

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Abstract

Recent advances in biological imaging have resulted in an explosion in the quality and quantity of images obtained in a digital format. Developmental biologists are increasingly acquiring beautiful and complex images, thus creating vast image datasets. In the past, patterns in image data have been detected by the human eye. Larger datasets, however, necessitate high-throughput objective analysis tools to computationally extract quantitative information from the images. These tools have been developed in collaborations between biologists, computer scientists, mathematicians and physicists. In this Primer we present a glossary of image analysis terms to aid biologists and briefly discuss the importance of robust image analysis in developmental studies.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1242/dev.076414 DOIArticle
ORCID:
AuthorORCID
Cunha, Alexandre0000-0002-2541-6024
Meyerowitz, Elliot M.0000-0003-4798-5153
Additional Information:© 2012 The Company of Biologists Ltd. We thank three anonymous reviewers, Kaoru Sugimoto, Xiaolan Zhang, Yun Zhou, Jill Harrison, Cory Tobin, Erich Schwarz, Henrik Jönsson, Tigran Bacarian, Eric Mjolsness, Heather Meyer and Marcus Heisler for discussions and comments on the manuscript. Funding: We acknowledge the Department of Energy Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences, Office of Basic Energy Sciences of the U.S. Department of Energy (E.M.M.) for funding the experimental research that has provided the images of sepals that are used in the examples given, the Gordon and Betty Moore Foundation Cell Center at Caltech (A.H.K.R. and A.C.) for funding the computational image processing of those images, and a Helen Hay Whitney Foundation postdoctoral fellowship to A.H.K.R.
Funders:
Funding AgencyGrant Number
Department of Energy (DOE)UNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
Helen Hay Whitney FoundationUNSPECIFIED
Subject Keywords:Segmentation, Filtering, Registration, Volume rendering, Morphological image processing, Image analysis
Issue or Number:17
DOI:10.1242/dev.076414
Record Number:CaltechAUTHORS:20120927-145601214
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20120927-145601214
Official Citation:A computational image analysis glossary for biologists Adrienne H. K. Roeder, Alexandre Cunha, Michael C. Burl, Elliot M. Meyerowitz Development 2012 139: 3071-3080; doi: 10.1242/dev.076414
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:34527
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Sep 2012 22:25
Last Modified:09 Nov 2021 23:09

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