LoQANT: An ImageJ Plugin for Quantifying Nuclear Staining in Immunohistochemistry and Immunofluorescence
Katerina Cizkova

TL;DR
LoQANT is a new ImageJ plugin that helps scientists accurately measure nuclear staining in cells, improving reliability and efficiency over manual methods.
Contribution
LoQANT introduces a single-cell-based, open-source tool for quantifying nuclear staining in immunohistochemistry and immunofluorescence.
Findings
Manual scoring of nuclear staining leads to high variability and poor interobserver reliability.
LoQANT provides reliable and efficient quantification of nuclear signals across different sample types.
The plugin is freely available and supports both semiquantitative and quantitative measurements.
Abstract
A large number of regulatory proteins are found in both the cytoplasm and the nucleus. Changes in their nuclear abundance are important for cellular signalling, biological activity, and disease mechanisms. Accurate quantification of nuclear staining is therefore essential in studies of cellular function, therapeutic targeting, drug design, and drug resistance. However, manual scoring is time-consuming, unsuitable for high-throughput applications, and introduces potential bias. As expected, manual scoring by six observers with varying levels of expertise led to highly variable results. Moreover, it was far from achieving good interobserver reliability. To overcome these limitations, LoQANT (Localisation and Quantification of Antigen Nuclear sTaining), an open, freely available ImageJ plugin, was developed for reliable and efficient quantification of nuclear signals. LoQANT is a single…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNuclear Structure and Function · Cell Image Analysis Techniques · HER2/EGFR in Cancer Research
