Using hyperspectral imaging to reveal a hidden precolonial Mesoamerican codex

Using persistent homology to reveal hidden information in neural data

We propose a method, based on persistent homology, to uncover topological properties of a priori unknown covariates of neuron activity. Our input data consist of spike train measurements of a set of neurons of interest, a candidate list of the known stimuli that govern neuron activity, and the corresponding state of the animal throughout the experiment performed. Using a generalized linear mode...

A Genetic-DEA Approach to Reveal Property Rights Priorities

Grid-HSI: Using grid computing to enable hyperspectral imaging analysis

USING GRID COMPUTING TO ENABLE HYPERSPECTRAL IMAGING ANALYSIS

Cutaneous wound analysis using hyperspectral imaging.

A correlative bright-field and hyperspectral analysis of full-thickness, cutaneous wounds in a porcine model was undertaken to investigate the efficacy of hyperspectral imaging as an alternate method for wound identification. Analysis of a randomly selected specimen yielded distinct spectral signatures for cutaneous regions of interest including the epidermis, injured dermis, and normal dermis....

Chicken Carcasses Using Hyperspectral Fluorescence Imaging

This article presents a method for detecting skin tumors on chicken carcasses using hyperspectral fluorescence imaging data, which provide fluorescence information in both spectral and spatial dimensions. Since these two kinds of information are complementary to each other, it is necessary to exploit them in a synergistic manner. Chicken carcasses are examined first using spectral information, ...