Education
Courses
2023/2024
2022/2023
-
Biomolecular Structure and Function | NB2230
2019/2020
- High-Resolution Imaging | NB4020
- Stochastic Signal Analysis | SC3011TN
- Statistical Signal Processing | SC42150
- Acoustical Imaging | AP3531
- Control for High Resolution Imaging | SC42030
- Adaptive Optics Design Project | SC42065
- Medical Imaging Signals and Systems | AP3232
- Physical Biology of the Cell 2 | NB2071
Master projects
Ongoing
- Epistemic Uncertainty, Carlas Smith, Koen Stapel (2022/2023)
- LTSM networks, Carlas Smith, Oscar He (2022/2023)
- Self Supervise Learning, Carlas Smith, Gerben Rijpkema (2021/2022)
Finished
- Self-supervised Learning for Tumor Microenvironment Analysis, Carlas Smith, Daniel Spengler (2022/2023)
- Deep convolutional network models for sharpening of cryo-EM density maps, Arjen Jakobi, Ian Bot (2022/2023)
- A Pipeline for Segmentation and Structural Feature Extraction in Cryo-EMSingle Particle Analysis, Arjen Jakobi, Flip Jansen (2022/2023)
- Retrieving Pulsatility in Ultrasound Localization Microscopy, Carlas Smith, David Maresca, Myrthe Wiersma (2021/2022)
- Theoretical Minimum Uncertainty of Single-Molecule Localizations Using a Single-Photon Avalanche Diode Array, Carlas Smith, Quint Houwink (2021/2022)
- Optmisation of Cryo-EM density contrast using Deep Neural Networks, Arjen Jakobi, Reinier de Graaf (2021/2022)
- Assessment of AI-based strategies for 3D reconstruction of heterogeneous cryo-EM samples, Arjen Jakobi, Saqar Khalefaah (2021/2022)
- Investigating a machine learning approach to single particle reconstruction and dynamics extraction, Arjen Jakobi, Loek Andriessen (2021/2022)
- Precision limits of ultrafast ultrasound localization microscopy, Carlas Smith, David Maresca, Violinde den Breeijen (2020/2021)