Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
CellMAPtracer: A User-Friendly Tracking Tool for Long-Term Migratory and Proliferating Cells Associated with FUCCI Systems
Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB).
Oslo Centre for Biostatistics and Epidemiology, Faculty of Medicine, University of Oslo, Oslo, Norway.
University of Arizona Cancer Center, University of Arizona, Tucson, United States.
Show others and affiliations
2021 (English)In: Cells, E-ISSN 2073-4409, Vol. 10, no 2, article id 469Article in journal (Refereed) Published
Abstract [en]

Cell migration is a fundamental biological process of key importance in health and disease. Advances in imaging techniques have paved the way to monitor cell motility. An ever-growing collection of computational tools to track cells has improved our ability to analyze moving cells. One renowned goal in the field is to provide tools that track cell movement as comprehensively and automatically as possible. However, fully automated tracking over long intervals of time is challenged by dividing cells, thus calling for a combination of automated and supervised tracking. Furthermore, after the emergence of various experimental tools to monitor cell-cycle phases, it is of relevance to integrate the monitoring of cell-cycle phases and motility. We developed CellMAPtracer, a multiplatform tracking system that achieves that goal. It can be operated as a conventional, automated tracking tool of single cells in numerous imaging applications. However, CellMAPtracer also allows adjusting tracked cells in a semiautomated supervised fashion, thereby improving the accuracy and facilitating the long-term tracking of migratory and dividing cells. CellMAPtracer is available with a user-friendly graphical interface and does not require any coding or programming skills. CellMAPtracer is compatible with two- and three-color fluorescent ubiquitination-based cell-cycle indicator (FUCCI) systems and allows the user to accurately monitor various migration parameters throughout the cell cycle, thus having great potential to facilitate new discoveries in cell biology.

Place, publisher, year, edition, pages
MDPI, 2021. Vol. 10, no 2, article id 469
Keywords [en]
BT549, cell migration, cell tracking, doubling time, FUCCI, MATLAB, proliferation, retinal pigment epithelial cells (RPE), speed–directionality dynamics, time-lapse imaging
National Category
Cell Biology
Identifiers
URN: urn:nbn:se:umu:diva-181790DOI: 10.3390/cells10020469ISI: 000622367600001Scopus ID: 2-s2.0-85102701043OAI: oai:DiVA.org:umu-181790DiVA, id: diva2:1541494
Available from: 2021-04-01 Created: 2021-04-01 Last updated: 2023-09-05Bibliographically approved

Open Access in DiVA

fulltext(6008 kB)299 downloads
File information
File name FULLTEXT01.pdfFile size 6008 kBChecksum SHA-512
cc10b25fba896a6e39928b935092737522df8fe1cec2e19e5f9127bad94fbd86f6d14a365b95491fff3c938ca1291ab7eda4b84e6a781e29ff409d2455b45c05
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Antos, Kamil

Search in DiVA

By author/editor
Antos, Kamil
By organisation
Department of Integrative Medical Biology (IMB)
In the same journal
Cells
Cell Biology

Search outside of DiVA

GoogleGoogle Scholar
Total: 304 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 161 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf