2006
DOI: 10.1002/cyto.a.20303
|View full text |Cite
|
Sign up to set email alerts
|

An automatic procedure for evaluation of single cell motility

Abstract: Background: Cell motility is vital in many physiological and pathological processes, such as embryogenesis, inflammation, wound healing, and metastasis. However, the time-consuming step in the evaluation of individual cell motility is the analysis of hundreds of recorded images of cell cultures in general consisting of retrieving images, one at a time, and marking the positions of individual cells by a computer mouse. Therefore, the aim of the present study was to develop a novel automatic procedure for the ev… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2008
2008
2021
2021

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 16 publications
0
2
0
Order By: Relevance
“…The forward movement of the macrophages occurs in several steps: the extension of the lamellipodia at the leading edge, strengthening the adhesion to the substrate at the front, translocation of the cell body, disassembly of adhesions and retraction of the trailing end, and finally recycling of the membrane and receptors from the rear to the front [47,48]. Cell morphology and motility depend on the actin-cytoskeleton regulated by Rho GTPases, including RhoA.…”
Section: Cell Morphology and Locomotionmentioning
confidence: 99%
“…The forward movement of the macrophages occurs in several steps: the extension of the lamellipodia at the leading edge, strengthening the adhesion to the substrate at the front, translocation of the cell body, disassembly of adhesions and retraction of the trailing end, and finally recycling of the membrane and receptors from the rear to the front [47,48]. Cell morphology and motility depend on the actin-cytoskeleton regulated by Rho GTPases, including RhoA.…”
Section: Cell Morphology and Locomotionmentioning
confidence: 99%
“…Cell tracking algorithms may not be as accurate as manual recording, but require less time and may be used for the analysis of a large number of cells. They use simple methods which calculate the position assumed by a labelled cell or the nucleus, after segmenting the image on the basis of intensity [ 11 ], or with more sophisticated methods, where subsequent deformations of an initial contour model are used to identify cell boundaries in the next frames [ 12 ]. Paths are typically described by list of coordinates corresponding to the trail followed by moving cells, and are subsequently analyzed in order to extract descriptive parameters.…”
Section: Introductionmentioning
confidence: 99%