Name
Title | ||
|---|---|---|
A Bayesian Framework for the Analog Reconstruction of Kymographs From Fluorescence Microscopy Data. |
Abstract | ||
|---|---|---|
Kymographs are widely used to represent and analyze spatio-temporal dynamics of fluorescence markers along curvilinear biological compartments. These objects have a singular geometry, and thus kymograph reconstruction is inherently an analog image processing task. However, the existing approaches are essentially digital: the kymograph photometry is sampled directly from the time-lapse images. As a... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2867946 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Geometry,Image reconstruction,Photometry,Microscopy,Image resolution,Inverse problems | Journal | 28 |
Issue | ISSN | Citations |
1 | 1057-7149 | 0 |
PageRank | References | Authors |
0.34 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denis K. Samuylov | 1 | 0 | 0.34 |
| Gábor Székely | 2 | 1697 | 193.47 |
| Grégory Paul | 3 | 48 | 3.84 |