 |
 |
 |
 |
 |
|
|
|
|
|
Deconvolution is one of the most common image-reconstruction tasks that arise in 3D fluorescence microscopy. The aim of this challenge is to benchmark existing deconvolution algorithms and to stimulate the community to look for novel, global and practical approaches to this problem.
The challenge will be divided into two stages: a training phase and a competition (testing) phase. It will primarily be based on realistic-looking synthetic data sets representing various sub-cellular structures. In addition it will rely on a number of common and advanced performance metrics to objectively assess the quality of the results.
The training stage for the 2nd edition of the challenge will begin soon. Please register to get the latest updates on the challenge.
The results of the first edition of the challenge have been presented during a special session of the ISBI conference on Sunday, April 8, 2013. Below is the list of the participants with the top-3 submissions. Thanks to the financial support of the IEEE Signal Processing Society, these participants have been awarded money prizes!
The training stage of the 2nd edition of the challenge will begin soon. Follow this link for early registration.
July 15, 2013