Name
Abstract | ||
|---|---|---|
We extend active contours to constrained iterative deconvolution by replacing the external energy function with a model-based likelihood. This enables sub-pixel estimation of the outlines of diffraction-limited objects, such as intracellular structures, from fluorescence micrographs. We present an efficient algorithm for solving the resulting optimization problem and robustly estimate object outlines. We benchmark the algorithm on artificial images and assess its practical utility on fluorescence micrographs of the Golgi and endosomes in live cells. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10331-5_51 | ISVC (1) |
Keywords | Field | DocType |
active contours,artificial image,fluorescence microscopy images,fluorescence micrographs,iterative deconvolution,diffraction-limited object,intracellular structure,external energy function,model-based likelihood,live cell,efficient algorithm,active contour,optimization problem,fluorescence microscopy | Active contour model,Computer vision,Endosome,Fluorescence microscope,Pattern recognition,Computer science,Deconvolution,Golgi apparatus,Artificial intelligence,Point spread function,Optimization problem | Conference |
Volume | ISSN | Citations |
5875 | 0302-9743 | 6 |
PageRank | References | Authors |
0.43 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jo A. Helmuth | 1 | 26 | 2.01 |
| Ivo F. Sbalzarini | 2 | 187 | 18.80 |