Theoretical work is necessary for the proper interpretation of data, for modelling biological systems, for the understanding of the physical phenomena exploited for sensing applications and for engineering the optimal detection systems. Fundamental questions that can be addressed with theoretical work are, for instance: which is the information content of images in fluorescence microscopy? How many photons are required to correctly estimate a fluorescence lifetime? In recent years, I worked to use biophysical imaging techniques as a tool for systems biology of cancer. The next big theoretical question I wish to address is: how biochemical networks encode for cellular decisions and maintain functional states? To address this question, we will have to develop accurate models of our data and the biology under study.
Over the last few years, we have developed several theoretical models. Detailed description of some of the milestones is available on separate posts (click on links).
[coming up: clonal dynamics in the presence of DNA damage and clonal dynamics of interacting cells]
- Photon-partitioning theorem: definition and optimization of biochemical resolving power in fluorescence microscopy (~2013)
- High (super?) resolution volume rendering of confocal data (~2010)
- Quantifying analyte concentrations by FRET imaging and phasor transforms (~2007)
- Maximization of photon-economy and acquisition throughput in FLIM applications
- Lifetime Moment Analysis (LiMA): graphical representations and missing analytical solutions for FLIM analysis in the frequency domain
Other descriptions are in preparation (Maximization of photon-economy and acquisition throughput in FLIM applications; Simple analysis of lifetime images by linear transforms), follow me on twitter for updates.