Transdermal Measurement of Glomerular Filtration Rate in Preclinical Research.

The measurement of glomerular filtration rate (GFR) is essential to understanding renal physiology, including the monitoring of disease progression and treatment effectiveness. Transdermal measurement of glomerular filtration rate (tGFR) using a miniaturized fluorescence monitor in combination with a fluorescent exogenous GFR tracer has become a common technique to measure GFR in the preclinical setting, especially in rodent models. It allows for close to real-time measurement of GFR in conscious unrestrained animals and overcomes several limitations of other GFR measures.

Incremental Learning in Modelling Process Analysis Technology (PAT)-An Important Tool in the Measuring and Control Circuit on the Way to the Smart Factory.

To meet the demands of the chemical and pharmaceutical process industry for a combination of high measurement accuracy, product selectivity, and low cost of ownership, the existing measurement and evaluation methods have to be further developed. This paper demonstrates the attempt to combine future Raman photometers with promising evaluation methods. As part of the investigations presented here, a new and easy-to-use evaluation method based on a self-learning algorithm is presented.

Noncontact recognition of fluorescently labeled objects in deep tissue via a novel optical light beam arrangement.

To date, few optical imaging systems are available in clinical practice to perform noninvasive measurements transcutaneously. Instead, functional imaging is performed using ionizing radiation or intense magnetic fields in most cases. The applicability of fluorescence imaging (e.

Gastrin-Releasing Peptide Receptor- and Prostate-Specific Membrane Antigen-Specific Ultrasmall Gold Nanoparticles for Characterization and Diagnosis of Prostate Carcinoma via Fluorescence Imaging.

Gold nanoparticles (AuNPs) have widely been used for 70 years in cancer treatment, but only in the last 15 years has the focus been on specific AuNPs with homogeneous size and shape for various areas in science. They constitute a perfect platform for multifunctionalization and therefore enable the enhancement of target affinity. Here we report on the development of tumor specific AuNPs as diagnostic tools intended for the detection of prostate cancer via fluorescence imaging and positron emission tomography (PET).

Highly Sensitive Raman Spectroscopy with Low Laser Power for Fast In-Line Reaction and Multiphase Flow Monitoring.

In process analytics, the applicability of Raman spectroscopy is restricted by high excitation intensities or the long integration times required. In this work, a novel Raman system was developed to minimize photon flux losses. It allows specific reduction of spectral resolution to enable the use of Raman spectroscopy for real-time analytics when strongly increased sensitivity is required.

Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma.

Robust detection of prostatic cancer is a challenge due to the multitude of variants and their representation in MR images. We propose a pattern recognition system with an incremental learning ensemble algorithm using support vector machines (SVM) tackling this problem employing multimodal MR images and a texture-based information strategy. The proposed system integrates anatomic, texture, and functional features.

Estimation of skin phototypes with optical parameters: an experimental study using newly developed fibre optic detection device.

In an experimental study (October 2010 Mannheim Germany) with 99 Caucasian volunteers, the skin colour (L*, a*, b*) and the reflectance spectra of human skin were compared to the Fitzpatrick's sun-reactive skin photo types (SPT). For this purpose, the skin colour and the reflectance spectra of human skin were determined using non-invasive method with a newly developed fibre optic detection device. The device, based on reflectance spectroscopy, was designed and optimized using a commercial optical analysis Software.