https://doi.org/10.7490/f1000research.1118582.1
Slides
NOT PEER REVIEWED
Download
metrics
VIEWS
327
 
downloads
33
CITE
How to cite these slides:
Haase R. User friendly GPU-accelerated bio-image analysis beyond cell segmentation [version 1; not peer reviewed]. F1000Research 2021, 10:530 (slides) (https://doi.org/10.7490/f1000research.1118582.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

User friendly GPU-accelerated bio-image analysis beyond cell segmentation

Author Affiliations
  • Metrics
  • 327 Views
  • 33 Downloads
 
Browse by related subjects
Published 02 Jul 2021

User friendly GPU-accelerated bio-image analysis beyond cell segmentation

[version 1; not peer reviewed]

Author Affiliations
1 DFG Cluster of Excellence "Physics of Life", TU Dresden, Germany
Presented at
PSB Symposium "Frontiers in Bioimaging", 2021
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Bio-image analysis, image data flow graphs, gpu-accelerated image procesing, imagej, fiji, clij napari, clesperanto
Comments
0 Comments
 
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.