- Title
- Strategies to improve quantitative assessment of immunohistochemical and immunofluorescent labelling
- Creator
- Johnson, Sarah J.; Walker, F. Rohan
- Relation
- Scientific Reports Vol. 5
- Publisher Link
- http://dx.doi.org/10.1038/srep10607
- Publisher
- Nature Publishing Group
- Resource Type
- journal article
- Date
- 2015
- Description
- Binary image thresholding is the most commonly used technique to quantitatively examine changes in immunolabelled material. In this article we demonstrate that if implicit assumptions predicating this technique are not met then the resulting analysis and data interpretation can be incorrect. We then propose a transparent approach to image quantification that is straightforward to execute using currently available software and therefore can be readily and cost-effectively implemented.
- Subject
- binary image thresholding; pixel intensity histograms; image quantification; analysis
- Identifier
- http://hdl.handle.net/1959.13/1324011
- Identifier
- uon:24939
- Identifier
- ISSN:2045-2322
- Rights
- This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
- Language
- eng
- Full Text
- Reviewed
- Hits: 1006
- Visitors: 1211
- Downloads: 244
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | Attachment02 | Publisher version (open access) | 849 KB | Adobe Acrobat PDF | View Details Download |