A biologist’s guide to planning and performing quantitative bioimaging experiments
PLoS Biology, ISSN: 1545-7885, Vol: 21, Issue: 6 June, Page: e3002167
2023
- 12Citations
- 96Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations12
- Citation Indexes12
- 12
- Captures96
- Readers96
- 96
- Mentions1
- News Mentions1
- 1
Most Recent News
Comprehensive online guide makes quantitative bioimaging more accessible
Starting something new can be overwhelming to a person who does not know what they will need or where to start. Quantitative bioimaging, the process of obtaining quantitative data through images (sometimes thousands of them) and computational approaches, like machine learning, are relatively new to the field of microscopy.
Article Description
Technological advancements in biology and microscopy have empowered a transition from bioimaging as an observational method to a quantitative one. However, as biologists are adopting quantitative bioimaging and these experiments become more complex, researchers need additional expertise to carry out this work in a rigorous and reproducible manner. This Essay provides a navigational guide for experimental biologists to aid understanding of quantitative bioimaging from sample preparation through to image acquisition, image analysis, and data interpretation. We discuss the interconnectedness of these steps, and for each, we provide general recommendations, key questions to consider, and links to high-quality open-access resources for further learning. This synthesis of information will empower biologists to plan and execute rigorous quantitative bioimaging experiments efficiently.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85164208913&origin=inward; http://dx.doi.org/10.1371/journal.pbio.3002167; http://www.ncbi.nlm.nih.gov/pubmed/37368874; https://dx.plos.org/10.1371/journal.pbio.3002167; https://dx.doi.org/10.1371/journal.pbio.3002167; https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002167
Public Library of Science (PLoS)
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