Name
Title | ||
|---|---|---|
Vignetting and photo-bleaching correction in automated fluorescence microscopy from an array of overlapping images |
Abstract | ||
|---|---|---|
We propose a novel acquisition scheme and non-parametric multi-image based method for correcting illumination in fluorescence images. Our approach measures changes in intensity of the subject by moving the microscope stage at regularly spaced intervals, and exploits this information to learn the correction function. The acquisition process and learning are performed prior to imaging, and take only a few minutes. Afterwards, images can be corrected for vignetting and photobleaching effects on the fly. Our approach can be implemented in any microscope with a motorized stage, and does not require a reference calibration slide. Experiments demonstrate that our method outperforms standard approaches to illumination correction. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISBI.2013.6556512 | Biomedical Imaging |
Keywords | Field | DocType |
biomedical optical imaging,fluorescence,learning (artificial intelligence),medical image processing,optical microscopy,optical saturable absorption,acquisition process,acquisition scheme,fluorescence images,fluorescence microscopy,illumination correction,learning,nonparametric multiimage-based method,photobleaching,vignetting,automated microscopy,illumination correction,image processing,mosaicing,registration | Fluorescence microscope,Computer vision,Optical microscope,Computer science,Light sheet fluorescence microscopy,On the fly,Optics,Microscope,Photobleaching,Vignetting,Artificial intelligence,Calibration | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4673-6456-0 | 3 |
PageRank | References | Authors |
0.43 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Filippo Piccinini | 1 | 14 | 2.53 |
| A. Bevilacqua | 2 | 16 | 4.16 |
| Kevin Smith | 3 | 2430 | 88.78 |
| Péter Horváth | 4 | 3 | 0.43 |