ArticlePloS one2022
FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Exploring the Single-Cell Dynamics of FOXM1 Under Cell Cycle Perturbations.Cell proliferation · 2025Article
- Molecular Spies in Action: Genetically Encoded Fluorescent Biosensors Light up Cellular Signals.Chemical reviews · 2024Review
- Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach.eLife · 2024Article
- ConfluentFUCCI for fully-automated analysis of cell-cycle progression in a highly dense collective of migrating cells.PloS one · 2024Article
- Automated identification and tracking of cells in Cytometry of Reaction Rate Constant (CRRC).PloS one · 2023Article
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Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Beyond the more conventional single-cell segmentation and tracking, single-cell cycle dynamics is gaining a growing interest in the field of cell biology. Thanks to sophisticated systems, such as the fluorescent ubiquitination-based cell cycle indicator (FUCCI), it is now possible to study cell proliferation, migration, changes in nuclear morphology and single cell cycle dynamics, quantitatively and in real time. In this work, we introduce FUCCItrack, an all-in-one, semi-automated software to segment, track and visualize FUCCI modified cell lines. A user-friendly complete graphical user interface is presented to record and quantitatively analyze both collective cell proliferation as well as single cell information, including migration and changes in nuclear or cell morphology as a function of cell cycle. To enable full control over the analysis, FUCCItrack also contains features for identification of errors and manual corrections.
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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.