Title
Robust detection and visualization of cytoskeletal structures in fibrillar scaffolds from 3-dimensional confocal image
Abstract
Polymerized actin-based cytoskeletal structures provide the cells with shape, resilience and dynamics. A mechanistic understanding of actin-based structures is crucial for finding solutions to practical problems occurring in tissue engineering constructs that require the interaction of cells with materials. In this regard, the first step is to detect and quantify actin-based structures in 3D cellular ensembles. In this work, we propose visual-analytic tools to delineate specific structures involving F-actin in cells. Concave actin bundles (CABs) often occur in hybrid cell-seeded fibrillar scaffolds and seem to envelope the fibers, as a possible mechanism of stable attachment. There is much uncertainty that accompanies the detection and the identification of fibers. Our tools rely on well-known algorithms of image analysis. We first delineate fibers by employing an adaptive min-cut-max-flow algorithm. Then, from the extremities of the segmented fibers, a template matching and a fiber tracking algorithm is applied to more precisely characterize the fibers in the image. CABs that surround the scaffold fibers transversally are located by observing their radial distribution around the nearby templates in focus. Finally, we visually examine candidate templates that possibly contain CABs and further determine if candidate CABs are indeed legitimate. It can be unequivocally stated that in the absence of the proposed visual analytic tools, the detection of CABs is intractable tasks.
Year
DOI
Venue
2013
10.1109/BioVis.2013.6664343
BioVis
Keywords
DocType
Citations 
scaffold fibers,template matching,image fibers,3d cellular ensembles,visual-analytic tools,cellular biophysics,intractable tasks,polymerized actin-based cytoskeletal structures,biomedical optical imaging,polymerisation,adaptive min-cut-max-flow algorithm,cab detection,image segmentation,polymer fibres,tissue engineering,hybrid cell-seeded fibrillar scaffolds,f-actin,biochemistry,image reconstruction,visual analytic tools,fiber identification,concave actin bundles,image analysis,data visualisation,fiber tracking algorithm,high-speed optical techniques,robust detection,radial distribution,segmented fibers,cell interaction,fibrillar scaffolds,medical image processing,3-dimensional confocal imaging
Conference
1
PageRank 
References 
Authors
0.35
15
5
Name
Order
Citations
PageRank
Do Young Park110.35
Desiree Jones210.35
Nicanor I. Moldovan310.35
Raghu Machiraju486478.64
Thierry Pécot5284.39