English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

FUCCItrack : an all-in-one software for single cell tracking and cell cycle analysis

MPS-Authors
/persons/resource/persons252727

Taïeb,  Hubert M.
Amaia Cipitria, Biomaterialien, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

/persons/resource/persons121142

Bertinetti,  Luca
Luca Bertinetti, Biomaterialien, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

/persons/resource/persons195358

Robinson,  Tom
Tom Robinson, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

/persons/resource/persons211486

Cipitria,  Amaia
Amaia Cipitria, Biomaterialien, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

External Resource

primary data
(Research data)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Article.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Taïeb, H. M., Bertinetti, L., Robinson, T., & Cipitria, A. (2022). FUCCItrack: an all-in-one software for single cell tracking and cell cycle analysis. PLoS One, 17(7): e0268297. doi:10.1371/journal.pone.0268297.


Cite as: https://hdl.handle.net/21.11116/0000-000A-B18D-F
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.