Harmonization of diagnostic nomenclature used in the pathology analysis of tissues from rodent toxicity studies will enhance the comparability and consistency of data sets from different laboratories worldwide. The INHAND Project (International Harmonization of Nomenclature and Diagnostic Criteria for Lesions in Rats and Mice) is a joint initiative of four major societies of toxicologic pathology to develop a globally recognized nomenclature for proliferative and nonproliferative lesions in rodents. This article recommends standardized terms for classifying changes observed in tissues of the mouse and rat central (CNS) and peripheral (PNS) nervous systems. Sources of material include academic, government, and industrial histopathology databases from around the world. Covered lesions include frequent, spontaneous, and aging-related changes as well as principal toxicant-induced findings. Common artifacts that might be confused with genuine lesions are also illustrated. The neural nomenclature presented in this document is also available electronically on the Internet at the goRENI website (http://www.goreni.org/).

We investigate dark-field imaging in the terahertz (THz) fre-quency regime with the intention to enhance image contrast through the analysis of scattering and diffraction signatures. A gold-on-TPX test structure and an archived biomedical tissue sample are examined in conventional and dark-field transmission geometry. In particular, the capability of the technique for tumor detection is addressed.

We present an all-optoelectronic THz imaging system based on photomixing of two continuous-wave laser beams using photoconductive antennas. For a specific biological sample, we compare continuous-wave THz imaging and pulsed THz imaging at 1 THz with respect to data-acquisition time and signal-to-noise ratio, and discuss image formation from both amplitude and phase data. In addition, we introduce the application of hyperboloidal lenses which allow tighter focusing and a corresponding improvement in spatial resolution compared to off-axis paraboloidal mirrors.

Novel urinary protein biomarkers for the detection of acute renal damage, recently accepted by the U.S. Food and Drug Administration, European Medicines Agency, and Pharmaceuticals and Medical Devices Agency (Japan), now have to be validated in practice. Limited data regarding the performance of these acute markers after subacute or subchronic treatment are publicly available. To increase the area of applicability of these markers, it is important to evaluate the ability to detect them after 28 days of treatment or even longer. Wistar rats were treated with three doses of cisplatin, vancomycin, or puromycin to induce renal damage. Twelve candidate proteins were measured by Luminex xMAPbased WideScreen assays, MesoScale Discovery-based MULTI-SPOT technology, or RENA-strip dipstick assay after 28 days. Treatment with all three model compounds resulted in a dose-dependent increase in urinary biomarkers, specific for the observed areas within the nephron, determined histopathologically. The most promising biomarkers in this study were NGAL, Kim-1, osteopontin, clusterin, RPA-1, and GSTYb1, detected by multiplexing technologies. The RENA-strip dipstick assay delivered good diagnostic results for vancomycin-treated but not for cisplatin-or puromycin-treated rats. Taken together, the data show that these new biomarkers are robust and measurable for longer term studies to predict different types of kidney toxicities.

'Visualization' in imaging is the process of extracting useful information from raw data in such a way that meaningful physical contrasts are developed. 'Classification' is the subsequent process of defining parameter ranges which allow us to identify elements of images such as different tissues or different objects. In this paper, we explore techniques for visualization and classification in terahertz pulsed imaging (TPI) for biomedical applications. For archived (formalin-fixed, alcohol-dehydrated and paraffin-mounted) test samples, we investigate both time- and frequency-domain methods based on bright- and dark-field TPI. Successful tissue classification is demonstrated.