Image correlation spectroscopy (ICS) has been widely used to quantify spatiotemporal distributions of fluorescently labelled cell membrane proteins and receptors. When the membrane proteins are randomly distributed, ICS may be used to estimate protein densities, provided the proteins behave as point-like objects. At high protein area fraction, however, even randomly placed proteins cannot obey ...

Persistent homology provides information about the lifetime of homology classes along a filtration of cell complexes. Persistence barcode is a graphical representation of such information. A filtration might be determined by time in a set of spatiotemporal data, but classical methods for computing persistent homology do not respect the fact that we can not move backwards in time. In this paper,...

We present a unified method, based on symmetric diffeomorphisms, for studying longitudinal neurodegeneration. Our method first uses symmetric diffeomorphic normalization to find a spatiotemporal parameterization of an individual's image time series. The second step involves mapping a representative image or set of images from the time series into an optimal template space. The template mapping ...

A 2-D photon event detector, consisting of a microchannel plate coupled to a resistive anode for position readout, has been used to measure the spatiotemporal correlation of dynamic speckle. In this paper we discuss the implementation of this detector for these measurements and the effect of detector dark count, dead time, spatiotemporal integration, and other inherent biases. Initial results o...

The need for efficient content-based image retrieval system has increased hugely. Efficient and effective retrieval techniques of images are desired because of the explosive growth of digital images. content based image retrieval (CBIR) is a promising approach because of its automatic indexing retrieval based on their semantic features and visual appearance. The similarity of images depends on ...

In this project, we apply compressed sensing (CS) technique to achieve high-spatiotemporal functional magnetic resonance imaging (MRI), which is very challenging with conventional approaches due to physical limitations such as slew rate. We also use its ideas of exploiting sparsity for image denoising. Keywords—compressed sensing; MRI; sparsity; image denoising