In many imaging applications, the objects of interest have broad range of strongly correlated spectral components. For example, the spectral components of grayscale objects such as media printed with black ink or toner are nearly perfectly correlated spatially. We describe how to exploit such correlation during the design of electro-optical imaging systems to achieve greater imaging performance...

We address the resolution of inverse problems where visual data must be recovered from incomplete information optically acquired in the spatial domain. The optical acquisition models that are involved share a common mathematical structure consisting of a linear operator followed by optional pointwise nonlinearities. The linear operator generally includes lowpass filtering effects and, in some c...

During the recent solar maximum the combination of imaging and spectroscopy in the visible part of the spectrum became a powerful tool for observational study of flares primarily because of the development of two-dimensional charge-coupled-device (CCD) arrays. In combination with appropriate new operational methods, this has led to the ability to observe, for the first time, the preflare and im...

Diffuse optical imaging is a functional medical imaging modality which takes advantage of the relatively low attenuation of near-infrared light to probe the internal optical properties of tissue. The optical properties are affected by parameters related to physiology such as the concentrations of oxyand deoxyhemoglobin. Instrumentation that is used for optical imaging is generally able to measu...

Angiogenesis is an important process in the pathogenesis of tumors, and is thus a target for the development of novel approaches for cancer therapy. Non-invasive imaging methods can indicate changes in vessel morphology and function including tumor perfusion and permeability. Different imaging methods are used to assess vascularization, in particular MRI and optical imaging. Due to the compleme...

We evaluated the potential of the Cramér-Rao lower bound (CRLB) to serve as a design metric for diffuse optical imaging systems. The CRLB defines the best achievable precision of any estimator for a given data model; it is often used in the statistical signal processing community for feasibility studies and system design. Computing the CRLB requires inverting the Fisher information matrix (FIM)...

The aim of this paper is to provide a mathematical model for spatial distribution of membrane electrical potential changes by fluorescence diffuse optical tomography. We derive the resolving power of the imaging method in the presence of measurement noise. The proposed mathematical model can be used for cell membrane tracking with the resolution of the optical microscope. Mathematics Subject Cl...

Accurate and rapid detection of diseases is of great importance for assessing the molecular basis of pathogenesis, preventing the onset of complications, and implementing a tailored therapeutic regimen. The ability of optical imaging to transcend wide spatial imaging scales ranging from cells to organ systems has rejuvenated interest in using this technology for medical imaging. Moreover, optic...

used in a wide range of research applications including: general pathology studies, development of clinically relevant disease models, testing of novel optical probes, and pharmacokinetic evaluation of therapeutics, including those designed to cross the BBB[1,2]. Optical imaging has several technical advantages over other imaging modalities. It is easy to use, allows high animal throughput, has...