Name
Title | ||
|---|---|---|
Modelling point spread function in fluorescence microscopy with a sparse Gaussian mixture: trade-off between accuracy and efficiency. |
Abstract | ||
|---|---|---|
Deblurring is a fundamental inverse problem in bioimaging. It requires modeling the point spread function (PSF), which captures the optical distortions entailed by the image formation process. The PSF limits the spatial resolution attainable for a given microscope. However, recent applications require a higher resolution and have prompted the development of super-resolution techniques to achieve s... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2019.2898843 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Computational modeling,Photonics,Microscopy,Image reconstruction,Inverse problems,Adaptation models | Journal | 28 |
Issue | ISSN | Citations |
8 | 1057-7149 | 0 |
PageRank | References | Authors |
0.34 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denis K. Samuylov | 1 | 1 | 0.69 |
| Prateek Purwar | 2 | 0 | 0.34 |
| Gábor Székely | 3 | 1697 | 193.47 |
| Grégory Paul | 4 | 48 | 3.84 |