Combined segmentation and tracking of neural stem-cells

Althoff, Karin,1974Chalmers tekniska högskola,Chalmers University of Technology (författare)

In this paper we analyze neural stem/progenitor cells in an time-lapse image sequence. By using information about the previous positions of the cells, we are able to make a. better selection of possible cells out of a collection of blob-like objects. As a blob detector we use Laplacian of Gaussian (LoG) filters at multiple scales, and the cell contours of the selected cells are segmented using dynamic programming. After the segmentation process the cells are tracked in the sequence using a. combined nearest-neighbor and correlation matching technique. An evaluation of the system show that 95% of the cells were correctly segmented and tracked between consecutive frames.

Degerman, Johan,1976Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)f96jode (författare)
Gustavsson, Tomas,1954Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)gustav (författare)
Chalmers tekniska högskola (creator_code:org_t)

Ingår i:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)3540, s. 282-2911611-33490302-9743

Av författaren/redakt...: Althoff, Karin, ...; Degerman, Johan, ...; Gustavsson, Toma ...

Om ämnet

NATURVETENSKAP: NATURVETENSKAP; och Data och informa ...; och Datorseende och ...

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.