ISBI 2013 eurobioimaging
Open Bio Image Alliance

Deconvolution — Making the Most of Fluorescence Microscopy

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.

Register Now!


In this challenge, the classical Richardson-Lucy (RL) algorithm will be used as a baseline reconstruction algorithm. To perform the RL reconstruction we provide the RLdeblur3D.m script.

Required Input Arguments

Optional Input Arguments

Output Arguments

Important Dates

Beginning of training stage

The training stage of the 2nd edition of the challenge will begin soon. Follow this link for early registration.

July 15, 2013