Light invariant photometric stereo.

An imaging setup that enables unsynchronized photometric stereo (PS) for Lambertian objects based on modulated light sources is presented. Knowing the specific frequency of the modulated light source allows to filter out any other light in the scene. This creates an image that depends only on the particular light source while ignoring the ambient light.

A probabilistic approach to spectral graph matching.

Spectral Matching (SM) is a computationally efficient approach to approximate the solution of pairwise matching problems that are np-hard. In this paper, we present a probabilistic interpretation of spectral matching schemes and derive a novel Probabilistic Matching (PM) scheme that is shown to outperform previous approaches. We show that spectral matching can be interpreted as a Maximum Likelihood (ML) estimate of the assignment probabilities and that the Graduated Assignment (GA) algorithm can be cast as a Maximum a Posteriori (MAP) estimator.

Electric field stimulation integrated into perfusion bioreactor for cardiac tissue engineering.

We describe herein the features of a novel cultivation system, combining electrical stimulation with medium perfusion for producing thick, functional cardiac patches. A custom-made electrical stimulator was integrated via inserting two carbon rod electrodes into a perfusion bioreactor, housing multiple neonatal Sprague-Dawley rat cardiac cell constructs between two 96% open-pore-area fixing nets. The stimulator produced adjustable stimulation waveform (i.

Improving shape retrieval by spectral matching and meta similarity.

We propose two computational approaches for improving the retrieval of planar shapes. First, we suggest a geometrically motivated quadratic similarity measure, that is optimized by way of spectral relaxation of a quadratic assignment. By utilizing state-of-the-art shape descriptors and a pairwise serialization constraint, we derive a formulation that is resilient to boundary noise, articulations and nonrigid deformations.

Studies on acute human infections using FTIR microspectroscopy and cluster analysis.

A novel methodology for the diagnosis of acute infections using FTIR microspectroscopy (FTIR-MSP) data on blood components and cluster analysis is presented. Blood samples were collected from 11 patients suffering from various infections and 16 age-matched healthy human controls. Blood components such as white blood cells, red blood cells, and plasma were isolated using standard procedures and FTIR-MSP of these components was utilized.

Diagnostic potential of Fourier-transform infrared microspectroscopy and advanced computational methods in colon cancer patients.

Colon cancer is the third leading class of cancer causing increased mortality in developed countries. A polyp is one type of lesion observed in a majority of colon cancer patients. Here, we report a microscopic Fourier transform infrared (FTIR) study of normal, adenomatous polyp and malignant cells from biopsies of 24 patients.