Smart Microscopy

Artificial intelligence for optimization of Super-resolution imaging/ Smart Adaptive Microscopy/ Physics informed video segmentation

What? Master/internship projects using artificial intelligence/ deep neuronal networks for advanced microscopy in the Grussmayer Lab @BN/AS and embedded in the Delft AI Lab BIOLab; possible collaboration with Nergis Toemen from the Computer Vision Lab @EWI/IS.

Starting date & contact: April 2023 onwards; Kristin Grussmayer, Email:, Miyase Tekpinar, Email:, Department/Faculty: BN/AS

For you? You learn: using and setting up a NN, state-of-the-art super-resolution/advanced microscopy methods, microscope hardware control and data acquisition. Possible data simulation or performance of microscopy experiments. Your background: computer science/math, (bio-) physics/engineering or related.

A smart microscope, left from Using supervised deep learning, a human labels examples of a rare phenotype, and a neural network locates similar cells and controls the microscope to image them at higher resolution, right from .