skip to content

Cambridge Centre for Physical Biology


Did you ever wonder who would be the Feynmans and Einsteins of today? 

Join our next ImagingONEWORLD lecture on Monday, 29th June 2020, 1-2pm (GMT):

Rainer Heintzmann (Jena, Germany): ‘Generic Deconvolution’


Please sign up with Eventbrite by 12:00 on Monday to receive ZOOM access:

‘Generic Deconvolution’

Rainer Heintzmann, Leibniz-Institute of Photonic Technology, Jena, Germany
Inst. of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Germany

Many scientific questions can be stated as being “inverse problems”. This means that we measure some data but our interest really lies in understanding, confirming or rejecting a model having some model parameters. Most scientist are using spread-sheet tools to “fit” the parameters of a simple model (such as a linear dependence or an exponential growth) to the measured data. However, some problem require to determine millions of unknowns. Deconvolution is such a problem. The measured data may be an acquired confocal image stack and the million unknown are the emission intensities of the sample prior to being blurred by imaging process in the microscope and subjected to noise by the stochastic nature of photons and the detector noise. Maximum-Likelihood deconvolution refers to a procedure for performing such a fit, yielding the de-blurred image.
In this talk, I will give an introduction to Maximum Likelihood deconvolution with practical hints and application examples.

Professor Dr. Rainer Heintzmann, studied at the Universities of Osnabrück and Heidelberg and worked as a postdoctoral fellow at the Max Planck Institute of Biophysical Chemistry in Göttingen and as a group at the Randall Division, King’s College London. He is currently professor of physical chemistry at the Friedrich-Schiller University Jena, and heads the microscopy research unit at the Leibniz Institute of Photonic Technology in Jena, Germany.
His research focuses on methods for imaging cellular function at high resolution and developing techniques to measure multidimensional information in small biological objects such as cells, cellular organelles or other small structures of interest. Examples of his developments are structured illumination, image inversion interferometry, optical photon reassignment, and pointillism. He is highly interested is in computer-based reconstruction and inverse modelling methods such as deconvolution


This is not just another lecture series, but a discussion forum on imaging and image analysis methods and how to apply these to your research. The focus will be on ‘how-to’ image and analyse, prepare samples, labels and protocols, as well as enabling collaborations and inspiring new scientific ideas. Speakers will be available for questions and answers. Organisers and the CRUK CI core facility staff will be able to continue the discussion and advice on your own imaging projects. 

More information about the event is available here:


Please use twitter for follow-up discussions: #ImagingONEWORLD@HeintzmannLab