2013 Research Highlights

Four images: (a) Phase portrait of a single, noisy oscillator, showing a large amplitude relaxation oscillator mixed with a noisy limit cycle surrounding the meanfield fixed point (red dot) (b) A typical time trace showing the mixed mode oscillations (c) Spatio -temporal pattern showing patches of oscillating and stationary regions in a one dimensional array of diffusively coupled oscillators . Horizontal axis denotes space and vertical axis denotes time . (d) As the ration of inhibitor to activator diffusion constant is increased, the patchy, oscillating phase changes to a stationary Turing pattern

(a) Phase portrait of a single, noisy oscillator, showing a large amplitude relaxation oscillator mixed with a noisy limit cycle surrounding the meanfield fixed point (red dot) (b) A typical time trace showing the mixed mode oscillations (c) Spatio -temporal pattern showing patches of oscillating and stationary regions in a one dimensional array of diffusively coupled oscillators . Horizontal axis denotes space and vertical axis denotes time . (d) As the ration of inhibitor to activator diffusion constant is increased, the patchy, oscillating phase changes to a stationary Turing pattern

Metastability and Switching in a Noisy Oscillator

Intrinsic noise has been shown to play an important role in the dynamics of a variety of systems including predator-prey populations, intracellular biochemical reactions, and oscillatory chemical reaction systems. Computer Simulations of the Brusselator, a prototypical chemical oscillator, predicts the existence of mixed mode oscillations, even for a large number of molecules, when there is a large separation of time scales between the dynamics of the inhibitor and activator species. (a) Phase portrait of a single, noisy oscillator, showing a large amplitude relaxation oscillator mixed with a noisy limit cycle surrounding the meanfield fixed point (red dot) (b) A typical time trace showing the mixed mode oscillations (c) Spatio-temporal pattern showing patches of oscillating and stationary regions in a one dimensional array of diffusively coupled oscillators. Horizontal axis denotes space and vertical axis denotes time. (d) As the ration of inhibitor to activator diffusion constant is increased, the patchy, oscillating phase changes to a stationary Turing pattern.

Four images as follows: Upper left: active MT bundles. Upper right: microscope image labeled Motile droplets 100um.  Bottom left: active gels 50um. Bottom right: active nematic. 20um.
Spontaneous Motion in Hierarchically Assembled Active Matter

Most conventional materials are assembled from inanimate building blocks. We have explored the behavior of soft materials in which constituent energy consuming units are assembled from animate energy consuming components. Thousands of these components spontaneously coordinate their microscopic activity to yield novel gels, liquid crystals and emulsions that crawl, flow, stream, spontaneously fracture and selfheal, thus mimicking some of the characteristics of living biological organisms.

Fig: Three-dimensional representation of a fuzzy logic system based on V(KBr) and V(AgNO3 ) as inputs and ΔT as output at three different phases of chemical injection: φ = 0.2 (A), 0.4 (B), 0.6 (C). The output fuzzy sets are represented by colors as indicated in the sidebar at the left.

Fig: Three-dimensional representation of a fuzzy logic system based on V(KBr) and V(AgNO3 ) as inputs and ΔT as output at three different phases of chemical injection: φ = 0.2 (A), 0.4 (B), 0.6 (C). The output fuzzy sets are represented by colors as indicated in the sidebar at the left.

Belousov-Zhabotinsky “Chemical Neuron” as a Binary and Fuzzy Logic Processor

The oscillatory Belousov-Zhabotinsky (BZ) reaction can be exploited to process both Boolean and fuzzy logic if the input variables are either the volumes or the phase of addition of pulse-injected solutions of inhibitor (bromide) and activator (silver ion) and the output variable is the oscillation period. Our experiments demonstrate that this system can process infinite-valued fuzzy logic, and that all fundamental fuzzy logic operators (AND, OR, NOT) can be implemented with it. This work suggests the possibility that biological oscillators such as neurons or pacemaker cells may process information using principles of fuzzy logic.

Three pairs of images labelled "chemically homogeneous" and "physically homogeneous".  The upper image of each pair shows one circular shape made of small red, orange, yellow and brown pixel-likepixel-like squares on a black background. The first image has one.  The others have 2.  The left side of the image is labeled "Area (physics). the bottom edge of the image is labeled "Intensity (chemistry). On the lower left corner of the figure it says "100um." The lower images contain a pattern of  circular shapes.  The first is labeled "0 min." The second: 3 min. The 3rd: 86m.
Materials Morphogenesis

In this work we study the emergence of chemical and physical heterogeneity from an initially homogenous system. We use an emulsion containing the Belousov-Zhabotinsky (BZ) reaction which undergoes pattern formation and eventually morphogenesis. Using the Turing mechanism we are able to characterize the patterns formed at an analytical level.

Upper set of 5 images: (a) grayscale iamge with 5 columns labelled: x, 1, y, 4 and z. Columns labelled 1 and 4 have 9 horizontal lines equally placed.  There is a label on the y zxis: time.  And the x axis = space.  At the far right it is labled 150um. (b) An image of numerous circles (drops?), all white with a ring of 6 gray drops labeled 1 - 6. In the center of the gray circle is a drop labeled "y".  To the right of the circle is an adjacent drop labled "z", to the left of the circle is an adjacent drop labeled "x". (c), (d) and (e) show circles with a vertical blue radius.  From the center in each circle is a red line.  in "c" it is a squiggly line. The other 2 are spirals. c is labeled "1-2". d is labeled 1-3 and 3 is labeled 1-4.  Lower set of 4 images: Each shows a group of drops with lines creating a pattern.  a is a triangle with the 3 drops numbered 1, 2, 3.  b has 4 drops in the center labeled 1, 2, 3, 4 with a line connecting 1 and 3, and a line connecting 2 and 4.  3 has 5 crops labeled 1-3\5.  The lines that connect them create a 5 pointed star.  d has 6 circles with lines connecting them creating a 6-pointed star.  Below each of these is a set of 3, 4, 5 and 6 columns with horizontal lines.
Optical Isolation of Chemical Oscillators

In this work we use a photosensitive form of the Belousov-Zhabotinsky (BZ) reaction and a Programmable Illumination Microscope (PIM) to create optical boundaries conditions within an emulsion. This allows us to create geometries of cellular oscillators with only nearest neighbor coupling. By creating 1D rings we can test the effects of having an even or odd number of drops. The different behavior from identical conditions can be used to help in the creation of customized materials.

Fig (a): The structure factor for an example active crystal showing crystallinity. Fig (b): Instantaneous speed of particles within the system, illustrating the inhomogeneous motion within the crystal. Fig (c): (2 images with an arrow connecting them) Particles in the active crystal undergo diffusion. The image shows the analog of a FRAP experiment. The particles which start in the center are labeled blue; the image to the right shows a snapshot after evolution of the dynamics.
Active Crystals of Self Propelled Spheres

Computer simulations of self propelled spheres in 2d predict a new form of matter: an active liquid crystal. (a) The structure factor for an example active crystal showing crystallinity. (b) Instantaneous speed of particles within the system, illustrating the inhomogeneous motion within the crystal. (c) Particles in the active crystal undergo diffusion. The image shows the analog of a FRAP experiment. The particles which start in the center are labeled blue; the image to the right shows a snapshot after evolution of the dynamics.

Upper diagram is of a semi-flexible filament anchored at one end and comprised of connected, self-propelled spheres. In this diagram there are 5 lines in reds and greens and labeled 1 - 5, the colors indicating different times. The lower diagram shows two views of a filament with a pivoting anchor.

Filament configurations at different times are shown in different colors. Upper diagram: Clamped anchor. Lower diagram: pivoting anchor. Filament configurations at different times are shown in different colors. Upper diagram: Clamped anchor. Lower diagram: pivoting anchor.

A New Mechanism for Flagella-Like Beating

The planar dynamics of a semi-flexible filament anchored at one end and comprised of connected, self-propelled, spheres were predicted using Brownian dynamics simulations and continuum elastic theory theory. For certain parameter ranges the filament undergoes periodic motion. With a clamped anchor, the filament undergoes flagella-like beating (top right), while a pivoting end leads to a steadily rotating coiled conformation (bottom right).

Designing simple, experimentally feasible systems that mimic the periodic beating of eukaryotic cilia and flagella has important implications for controlling fluid flow at the microscale, as well as for understanding biological cilia and flagella.

Top: Synthetic cilia composed of microtubule bundles.  In this image it appears as white curved lines on a black background. Bottom: Conceptual diagram of micro-robots propelled by synthetic cilia and flagella.. The upper drawing has a round white circle with a yellow center labelled "Micro-robot body." There are several green curvy lines about 3 times the width of the body that are labeled "Synthetic cilia." Lower drawing is similar except that there is one think curvy line emanating from the micro-robot body, and it is labeled "synthetic flagella."

Top: Synthetic cilia composed of microtubule bundles. Bottom: Conceptual diagram of micro-robots propelled by synthetic cilia and flagella.

Development of Swimming Micro-Robots Autonomously Powered by Synthetic Flagella and Cilia

The goal of this project is to build swimming micro-robots composed of a microrobot body and synthetic filamentous bundles powered by molecular motors that exhibit periodic beating patterns similar to those of biological cilia. We are exploring methods to attach the synthetic cilia to a micron sized robot body which will behave as a molecular swimmer that mimics the behavior of biological spermatozoa. An autonomously powered micro-robot with tunable and controllable beating patterns would provide an ideal system to deliver a therapeutic drug to a cancerous tissue.

Two images showing the characterization of stress granule dynamics in cells using live cell imaging techniques in Figure A. The image on the left is labeled "No stress" and the image on the right is labeled "Stressed" and has 2 red arrows pointing downwards. At the bottom of Figure A it says: 5um. Figure B  shows electron microscopy micrographs of studies in vitro of the protein components that are integral to the assembly of stress granules.  Ther are 2 square shape images and 2 elongated rectangles, each containing 1 - 12 elliptical shapes. It is labeled 50nm.

Figure A: 5um. Left: No stress. Right: Stressed. Figure B: 50 nm

Assembly Dynamics of a Eukaryotic Subcellular Organelle

Eukaryotic cells possess poorly understood nonmembrane enclosed subcellular organelles that are sites of activity critical to post-transcriptional gene regulation. We are studying a subcellular organelle called a stress granule, which are large (~150 nm diameter) and dynamic stress induced cytoplasmic aggregates.

Our studies include both the characterization of stress granule dynamics in cells using live cell imaging techniques (see “A”, top right) as well as studies in vitro of the protein components that are integral to the assembly of stress granules (see “B”, electron microscopy micrographs bottom right).

We are quantifying the dynamics of stress granules and elucidating the principles and components underlying their assembly to form stress granules.