Noise in microscopy images is surely one of the strongest limiting factors in the study of morphology and dynamics of the cells, and in proceeding in a reliable visualization and analysis of the structures of interest. Deconvolution offers a great help in reducing noise and still preserving the small details of the object. Very noisy images, with extremely low signal, can be optimally addresses by Huygens deconvolution. The webinar about Optimizing deconvolution: focus on extremely low signal data organized the 18th July 2017 will guide you through the optimal methodologies to deconvolve extremely low signal data with Huygens. The registration of the webinar will be available until the 26th of July via this link.