Paper Info
Title
Tracking neural stem cells in time-lapse microscopy image sequences
Abstract
This paper describes all algorithm for tracking neural stem/progenitor cells in a time-lapse microscopy image sequence. The cells were segmented in a semiautomatic way using dynamic programming. Since the interesting cells were identified by fluorescent staining at the end of the sequence, the tracking was performed backwards. The number of detected cells varied throughout the sequel-ice: cells could appear or disappear at the image boundaries or at cell clusters, some cells split, and the segmentation was riot always correct. To solve this asymmetric assignment problem, a modified version of the auction algorithm by Bertsekas was used. The assignment weights were calculated based on distance. correlation and size between possible matching cells. Cell splits are of special interest. therefore tracks without a matching cell were divided into two groups: 1. Merging cells (splitting cells, moving forward in time) and 2. Non-merging cells. These groups were separated based oil difference in size of the involved cells. and difference in image intensity of the contour and interior of the possibly merged cell. The tracking algorithm was evaluated using a sequence consisting of 57 images, each image containing approximately 50 cells. The evaluation showed that 99% of the cell-to-cell associations were correct. Ill most cases, only one association per track was incorrect so in total 55 out of 78 different tracks in the sequence were tracked correctly. Further improvements will be to apply interleaved segmentation and tracking to produce a more reliable segmentation as well as better tracking results.
Year
DOI
Venue
2005
10.1117/12.594767
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
cell tracking,image segmentation,time-lapse microscopy,auction algorithm,neural stem cells
Dynamic programming,Computer vision,Segmentation,Image segmentation,Neural stem cell,Assignment problem,Time-lapse microscopy,Artificial intelligence,Auction algorithm,Mathematics,Progenitor cell
Conference
Volume
ISSN
Citations 
5747
0277-786X
4
PageRank 
References 
Authors
0.49
0
3
Name
Order
Citations
PageRank
karin althoff1141.72
johan degerman2141.72
T Gustavsson325930.65