ArticleCell reports methods2023
Instant processing of large-scale image data with FACT, a real-time cell segmentation and tracking algorithm.
Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN-seq.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Companion Diagnostics in Clinical Therapy: Current Applications and Future Directions.MedComm · 2026Review
- A comprehensive update on the application of high-throughput fluorescence imaging for novel drug discovery.Expert opinion on drug discovery · 2025Review
- Synthetic gene circuit evolution: Insights and opportunities at the mid-scale.Cell chemical biology · 2024Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantifying cellular characteristics from a large heterogeneous population is essential to identify rare, disease-driving cells. A recent development in the combination of high-throughput screening microscopy with single-cell profiling provides an unprecedented opportunity to decipher disease-driving phenotypes. Accurately and instantly processing large amounts of image data, however, remains a technical challenge when an analysis output is required minutes after data acquisition. Here, we present fast and accurate real-time cell tracking (FACT). FACT can segment ∼20,000 cells in an average of 2.5 s (1.9-93.5 times faster than the state of the art). It can export quantifiable features minutes after data acquisition (independent of the number of acquired image frames) with an average of 90%-96% precision. We apply FACT to identify directionally migrating glioblastoma cells with 96% precision and irregular cell lineages from a 24 h movie with an average F1 score of 0.91.
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