ArticleJournal of open source software2026
Napari-3D-Counter: A manual cell counter for napari.
Article in Journal of open source software, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
A common task across biological fields is to quantify the number of objects in an image. Often, the most efficient solution to this problem is to have an expert manually count those objects. This package, Napari-3D-Counter, includes the Count3D widget, a user-friendly interface to allow an expert to quickly count objects in 2D or 3D images visualized using napari, as well as auxiliary plugins that help to integrate Count3D into upstream and downstream analyses. Napari-3D-Counter focuses on being user-friendly for beginners and experienced users, and has been continually updated since its 2023 release. The package is available on both PyPI and conda-forge, and is indexed on napari-hub.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.