ArticleScience advances2026
SpotMAX: A generalist framework for multidimensional automatic spot detection and quantification.
Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Single-cell imaging reveals a key role of Bck2 in yeast cell size adaptation to nutrient challenges.The Journal of cell biology · 2026Article
- In the absence of mitochondrial fusion unequal segregation of mitochondria drives mtDNA loss.EMBO reports · 2026Article
- Bloom helicase contributes to successful crossover formation with both catalytic and structural roles in Caenorhabditis elegans meiosis.Nucleic acids research · 2025Article
- Localization and expression dynamics of an RNA Pol I core subunit in response to fasting inmicroPublication biology · 2025Article
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Authors and funding
15 authors.
Funding
Abstract
The analysis of spot-like structures is a widespread task in microscopy image analysis. Existing solutions are typically specific to single applications and do not use multidimensional information, often leaving manual annotation as the only option. Here, we present SpotMAX, a generalist AI-assisted framework for automated spot detection and quantification. SpotMAX detects spots in three-dimensional (3D) data and leverages the full scope of multidimensional datasets with an easy-to-use graphical user interface and a framework for cell segmentation and tracking. Tested on a large 3D dataset, SpotMAX outperforms or is on par with state-of-the-art tools and expert human annotators. We applied SpotMAX across diverse experimental questions, ranging from meiotic crossover events in
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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.