2019
DOI: 10.1371/journal.pone.0211975
|View full text |Cite
|
Sign up to set email alerts
|

Advances in geometric techniques for analyzing blebbing in chemotaxing Dictyostelium cells

Abstract: We present a technical platform that allows us to monitor and measure cortex and membrane dynamics during bleb-based chemotaxis. Using D. discoideum cells expressing LifeAct-GFP and crawling under agarose containing RITC-dextran, we were able to simultaneously visualize the actin cortex and the cell membrane throughout bleb formation. Using these images, we then applied edge detect to generate points on the cell boundary with coordinates in a coordinate plane. Then we fitted these points… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
22
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
3
2

Relationship

3
2

Authors

Journals

citations
Cited by 7 publications
(26 citation statements)
references
References 26 publications
0
22
0
Order By: Relevance
“…We modified an in-house geometric platform [32] which extracts the boundary of 115 photographic images and renders them as objects in Cartesian space. Our modified 116 algorithm, in addition to the procedure outlined in [32], thins the cell boundary to a 117 width of one pixel (uses the Thinning function in Mathematica), implements a more 118 efficient algorithm for ordering boundary points, orients the boundary, and finally 119 applies a Gaussian convolution to smooth the boundary. The digitization of the 120 boundary into equally spaced points using B-splines, is also implemented more 121 efficiently.…”
Section: Edge Detection and Boundary Digitization 114mentioning
confidence: 99%
See 4 more Smart Citations
“…We modified an in-house geometric platform [32] which extracts the boundary of 115 photographic images and renders them as objects in Cartesian space. Our modified 116 algorithm, in addition to the procedure outlined in [32], thins the cell boundary to a 117 width of one pixel (uses the Thinning function in Mathematica), implements a more 118 efficient algorithm for ordering boundary points, orients the boundary, and finally 119 applies a Gaussian convolution to smooth the boundary. The digitization of the 120 boundary into equally spaced points using B-splines, is also implemented more 121 efficiently.…”
Section: Edge Detection and Boundary Digitization 114mentioning
confidence: 99%
“…In our previous work [32] we applied the FindShortestTour function in Mathematica to 125 order the coordinates of boundary points. For cells with complex boundaries, this 126 function often failed to yield a reasonable ordering of the points.…”
Section: Ordering Boundary Nodes 124mentioning
confidence: 99%
See 3 more Smart Citations