Biostatistical analysis of quantitative immunofluorescence microscopy images
Semiquantitative immunofluorescence microscopy has become a key methodology in biomedical research. Typical statistical workflows are considered in the context of avoiding pseudo-replication and marginalising experimental error. However, immunofluorescence microscopy naturally generates hierarchical...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Wiley-Blackwell
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/21941 |
| _version_ | 1848750731581980672 |
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| author | Giles, C. Albrecht, M. Lam, V. Takechi, Ryu Mamo, J. |
| author_facet | Giles, C. Albrecht, M. Lam, V. Takechi, Ryu Mamo, J. |
| author_sort | Giles, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Semiquantitative immunofluorescence microscopy has become a key methodology in biomedical research. Typical statistical workflows are considered in the context of avoiding pseudo-replication and marginalising experimental error. However, immunofluorescence microscopy naturally generates hierarchically structured data that can be leveraged to improve statistical power and enrich biological interpretation. Herein, we describe a robust distribution fitting procedure and compare several statistical tests, outlining their potential advantages/disadvantages in the context of biological interpretation. Further, we describe tractable procedures for power analysis that incorporates the underlying distribution, sample size and number of images captured per sample. The procedures outlined have significant potential for increasing understanding of biological processes and decreasing both ethical and financial burden through experimental optimization. |
| first_indexed | 2025-11-14T07:41:30Z |
| format | Journal Article |
| id | curtin-20.500.11937-21941 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:41:30Z |
| publishDate | 2016 |
| publisher | Wiley-Blackwell |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-219412017-09-13T13:55:05Z Biostatistical analysis of quantitative immunofluorescence microscopy images Giles, C. Albrecht, M. Lam, V. Takechi, Ryu Mamo, J. Semiquantitative immunofluorescence microscopy has become a key methodology in biomedical research. Typical statistical workflows are considered in the context of avoiding pseudo-replication and marginalising experimental error. However, immunofluorescence microscopy naturally generates hierarchically structured data that can be leveraged to improve statistical power and enrich biological interpretation. Herein, we describe a robust distribution fitting procedure and compare several statistical tests, outlining their potential advantages/disadvantages in the context of biological interpretation. Further, we describe tractable procedures for power analysis that incorporates the underlying distribution, sample size and number of images captured per sample. The procedures outlined have significant potential for increasing understanding of biological processes and decreasing both ethical and financial burden through experimental optimization. 2016 Journal Article http://hdl.handle.net/20.500.11937/21941 10.1111/jmi.12446 Wiley-Blackwell restricted |
| spellingShingle | Giles, C. Albrecht, M. Lam, V. Takechi, Ryu Mamo, J. Biostatistical analysis of quantitative immunofluorescence microscopy images |
| title | Biostatistical analysis of quantitative immunofluorescence microscopy images |
| title_full | Biostatistical analysis of quantitative immunofluorescence microscopy images |
| title_fullStr | Biostatistical analysis of quantitative immunofluorescence microscopy images |
| title_full_unstemmed | Biostatistical analysis of quantitative immunofluorescence microscopy images |
| title_short | Biostatistical analysis of quantitative immunofluorescence microscopy images |
| title_sort | biostatistical analysis of quantitative immunofluorescence microscopy images |
| url | http://hdl.handle.net/20.500.11937/21941 |