Imaging Seminar: Towards truly quantitative cellular ultrastructure with volume EM and AI
Event details
| Date | 12.11.2025 |
| Hour | 17:00 › 18:00 |
| Speaker | Dr Kedar Narayan, National Cancer Institute, NIH, USA |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
Joint seminar with the Dubochet Center for Imaging, BioImaging and Optics Platform and BioEM Facility.
Abstract: Electron microscopy (EM) has long been the gold standard for high resolution imaging of cellular ultrastructure. Recent advances have extended EM to the third dimension, allowing “volume EM” to emerge as an exciting avenue to explore previously inaccessible questions in biology, especially when combined with correlative methods. In spite of these developments, volume EM has remained a mostly descriptive science, with a major hurdle being routine and large-scale segmentation of features of interest from ever-growing image volumes. The current artificial intelligence (AI) revolution has benefited research in this space, with several approaches showing promise when applied to 2D and 3D EM data. Here I discuss recent work from the wet and dry lab sides of my group: I show examples of new biology revealed simply by imaging cells and tissue in 3D, and I share our latest AI based solutions to segment large numbers of organelles from these data. These advances open the door to quantitative and statistically robust ultrastructural studies in cell biology.
Bio: Kedar Narayan leads the CCR volume EM (CvEM) group. He has a Ph.D. in immunology and a background in chemistry, pathology, biophysics and software engineering. Kedar’s work focuses on developing emerging technologies for cellular imaging and deploying them to drive collaborative projects. At CvEM, these include FIB-SEM, array tomography, electron tomography and correlative imaging, as well as powerful AI-based computational strategies.
The seminar is followed by an aperitif.
Registration appreciated
Look at our other events here
Abstract: Electron microscopy (EM) has long been the gold standard for high resolution imaging of cellular ultrastructure. Recent advances have extended EM to the third dimension, allowing “volume EM” to emerge as an exciting avenue to explore previously inaccessible questions in biology, especially when combined with correlative methods. In spite of these developments, volume EM has remained a mostly descriptive science, with a major hurdle being routine and large-scale segmentation of features of interest from ever-growing image volumes. The current artificial intelligence (AI) revolution has benefited research in this space, with several approaches showing promise when applied to 2D and 3D EM data. Here I discuss recent work from the wet and dry lab sides of my group: I show examples of new biology revealed simply by imaging cells and tissue in 3D, and I share our latest AI based solutions to segment large numbers of organelles from these data. These advances open the door to quantitative and statistically robust ultrastructural studies in cell biology.
Bio: Kedar Narayan leads the CCR volume EM (CvEM) group. He has a Ph.D. in immunology and a background in chemistry, pathology, biophysics and software engineering. Kedar’s work focuses on developing emerging technologies for cellular imaging and deploying them to drive collaborative projects. At CvEM, these include FIB-SEM, array tomography, electron tomography and correlative imaging, as well as powerful AI-based computational strategies.
The seminar is followed by an aperitif.
Registration appreciated
Look at our other events here
Links
Practical information
- General public
- Free
Organizer
- Dubochet Center for Imaging, BioEM Facility, BioImaging and Optics Platform, EPFL Center for Imaging