| Autor: |
Loewke NO, Qiu Z, Mandella MJ, Ertsey R, Loewke A, Gunaydin LA, Rosenthal EL, Contag CH, Solgaard O |
| Jazyk: |
angličtina |
| Zdroj: |
IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2020 Apr; Vol. 39 (4), pp. 1127-1137. Date of Electronic Publication: 2019 Sep 27. |
| DOI: |
10.1109/TMI.2019.2942552 |
| Abstrakt: |
We present software-based methods for automatic phase control and for mosaicing high-speed, Lissajous-scanned images. To achieve imaging speeds fast enough for mosaicing, we first increase the image update rate tenfold from 3 to 30 Hz, then vertically interpolate each sparse image in real-time to eliminate fixed pattern noise. We validate our methods by imaging fluorescent beads and automatically maintaining phase control over the course of one hour. We then image fixed mouse brain tissues at varying update rates and compare the resulting mosaics. Using reconstructed image data as feedback for phase control eliminates the need for phase sensors and feedback controllers, enabling long-term imaging experiments without additional hardware. Mosaicing subsampled images results in video-rate imaging speeds, nearly fully recovered spatial resolution, and millimeter-scale fields of view. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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