Cluster Analysis Showtime 2020
The “Cluster analysis showtime” targets newcomers to SMLM who wish to analyse their data for the first time, experts in SMLM quantification and spatial point pattern statistical tools, as well as scientists interested in clustering strategies in general.
The 2020 webinar will provide not only guidelines, tools for comparison and insight into existing cluster analysis methods, but also a unique platform to identify challenges that remain to be addressed in an open floor panel discussion with experts (analysis tools developers and their open critics).
For further information, please contact the organizers: J. Griffie (juliette.griffie@epfl.ch) and D. Sage (daniel.sage@epfl.ch).
Agenda
August 26, 2020, 15:00 – 18:00 (CEST)
3:00 PM: Opening & introduction from the organizers
3:15 PM – 5 PM: cluster analysis for SMLM – state of the art
Technical talks from the methods’ developers for users – 15 min talks with Q&A
- 3:15 PM – Florian Levet
- Gathering tessellation and point clouds for SMLM data analysis
- 3:30 PM – Daniel Nino
- Density-based fast optimized clustering algorithm in 3D (FOCAL3D) for single-molecule localization microscopy
- 3:45 PM – Ismail Khater
- SuperNet: Super-resolution Network Analysis and Quantification of Single Molecule Clusters
- 4:00 PM – Sabrina Simoncelli
- Switching mindset: from single-molecule localizations to single proteins maps
- 4:15 PM – Lisa Fischer
- Quantitative single-protein imaging reveals molecular complex formation of integrin, talin, and kindlin during cell adhesion
- 4:30 PM – Alon Saguy
- Automated analysis of fluorescence kinetics in single-molecule localization microscopy data reveals protein stoichiometry
- 4:45 PM – Dylan Owen
- TBA (about metrics)
15-minutes break
5:15 PM – 5:45 PM: Experts panel
featuring: Pr. D. Owen, Pr. J.B Sibarita, Pr. A. Radenovic, Pr Schütz, Pr. M. Lakadamyali
5:45 PM – 6:00 PM: General Q&A
