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Mario Feingold
Feingold, Mario
Growth and division of single bacterial cells; Time-lapse microscopy together with image processing; protein-DNA interaction at thesingle molecule level
Oleg Krichevsky
Krichevsky, Oleg
Interactions and physical properties of biological molecules; Advanced optical and molecular biology techniques.
Avraham Beer
Beer, Avraham
Our lab combines a large variety of physical approaches, wet-lab biological based experiments, mathematical modeling, precise and innovative microscopy and ...
Oded Farago
Farago, Oded
My research combines analytical and computational methods of statistical mechanics to understand the physical principles behind the functioning of complex ...
David Golomb
Golomb, David
I work in the fields of neurophysics and computational and theoretical neuroscience. I am interested in active sensing and dynamics ...
Rony Granek
Granek, Rony
I am a theoretical physicist and my research lies at the interface between soft matter physics and biophysics. I am ...
Yoav Tsori
Tsori, Yoav
Theory of soft matter physics on the mesoscopic scale (h-bar=0) - liquids, gels, colloid, membranes, polymers and liquid crystals. In ...
Maoz Shamir
Shamir, Maoz
Research field Computational neuroscience / Neurophysics Research Interests In my lab we apply tools and concepts from: Statistical Mechanics, Nonlinear ...
Shaul Mordechai
Mordechai, Shaul
FTIR-Microspectroscopy; FTIR-spectroscopy;Fiber Evanescent Wave Spectroscopy

Research highlights

Single Cell Dynamics (Feingold's Group)

Single Cell Dynamics
During the lifetime of a bacterium it elongates linearly in three distinct regimes.

We use single cell phase-contrast and fluorescence time-lapse microscopy to monitor morphological changes during the division of E. coli. To bypass the limitations of optical resolution, we process the images using pixel intensity values for edge detection. We study the dynamics of the constriction width, W, and find that its formation starts shortly after birth much earlier than can be detected by simply viewing phase-contrast images. A simple geometrical model is shown to reproduce the behavior of W(t). Moreover, the time-dependence of the cell length, L(t), consists of three linear regimes.

Internal dynamics of biological polymers: DNA molecules, actin filaments (Krichevsky's Group)

Internal dynamics of biological polymers: DNA molecules, actin filaments
The dynamics of a semi-flexible polymer

The problem of polymer dynamics is rather old, going back to the 1930-s.
How the stochastic thermal motion (diffusion) reveals itself in the dynamics of polymer segments which are bound by connectivity along the chain, by polymer stiffness, by topological constrains, by hydrodynamic and other interactions?
The question does not have simple solutions in neither theory, computer simulations, or experiments. We have developed an original experimental approach to measure the dynamics of biological polymers, such as DNA at the level of single monomer with high temporal and spatial resolution.