Dr. Martin Weigert

Presentation: Machine-learning based microscopy image analysis


Modern microscopy modalities that are used in the life sciences produce increasingly large image datasets which are difficult to interpret without the help of computational methods. In my talk, I will highlight several machine-learning based approaches that we developed to address common image analysis problems in microscopy such as image restoration, nuclei/cell segmentation, and organelle reconstruction. I will demonstrate our methods on diverse examples ranging from 2D fluorescence microscopy, digital histopathology, light-sheet microscopy, to 3D electron microscopy. Finally, I will give an introduction to different software frameworks that we developed to make these methods available to the life science research community.

Portrait of Dr. Martin Weigert

Dr. Martin Weigert

Group Leader

EPFL in Lausanne, Switzerland

Bio


Martin Weigert is a computer scientist whose research focuses on machine learning based image reconstruction and segmentation methods for microscopy. After doing his PhD at the MPI-CBG in Dresden, Germany he is currently a group leader at EPFL in Lausanne, Switzerland.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut