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Made to measure: An introduction to quantifying microscopy data in the life sciences

Culley, Siân; Caballero, Alicia Cuber; Burden, Jemima J; Uhlmann, Virginie; (2023) Made to measure: An introduction to quantifying microscopy data in the life sciences. Journal of Microscopy 10.1111/jmi.13208. (In press). Green open access

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Abstract

Images are at the core of most modern biological experiments and are used as a major source of quantitative information. Numerous algorithms are available to process images and make them more amenable to be measured. Yet the nature of the quantitative output that is useful for a given biological experiment is uniquely dependent upon the question being investigated. Here, we discuss the 3 main types of information that can be extracted from microscopy data: intensity, morphology, and object counts or categorical labels. For each, we describe where they come from, how they can be measured, and what may affect the relevance of these measurements in downstream data analysis. Acknowledging that what makes a measurement 'good' is ultimately down to the biological question being investigated, this review aims at providing readers with a toolkit to challenge how they quantify their own data and be critical of conclusions drawn from quantitative bioimage analysis experiments.

Type: Article
Title: Made to measure: An introduction to quantifying microscopy data in the life sciences
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/jmi.13208
Publisher version: https://doi.org/10.1111/jmi.13208
Language: English
Additional information: 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 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/
Keywords: Bioimage analysis, bioimaging, microscopy, quantification
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Lab for Molecular Cell Bio MRC-UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10172312
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