Gokhale, P.J. orcid.org/0000-0001-7225-4403 (2016) Extracting information from imaging cytometry: a review. Biotechnic and Histochemistry, 91 (8). pp. 540-548. ISSN 1052-0295
Abstract
The extraction of statistically meaningful quantitative information from microscopy images is increasingly important for modern biological research. Obtaining accurate, quantitative information from biological specimens, however, is a complex process that requires optimization of several parameters. One must consider the number of probes, fluorescent channels required, type of plate to be used, number of fields to be acquired and optimal resolution for image acquisition. The extraction of information from images is dependent on and can be aided greatly by careful consideration of the factors involved in the image acquisition process. I summarize here the general principles behind the imaging and software technology that is used to quantify images and highlight particular issues of concern for critically applying image quantitation techniques for research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Taylor & Francis. This is an author produced version of a paper subsequently published in Biotechnic and Histochemistry. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | cytometry; high-content analysis; high-content imaging; microscopy; review |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Biomedical Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Feb 2017 16:12 |
Last Modified: | 16 Nov 2017 01:38 |
Published Version: | https://doi.org/10.1080/10520295.2016.1247987 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/10520295.2016.1247987 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112105 |