The rapid and reliable detection of oil contaminants is crucial importance for environmental protection. This paper focused on the classification identification six types using unconventional steady-state fluorescence spectroscopy coupled with XY-fused networks (XY-Fs). excitation emission matrix (EEMF) spectroscopy, synchronous (SFS) total (TSFS) samples were measured by a FS920 spectrometer. ...

Background: There are various methods to read out responses of a polymer-gel dosimeter, among which the Magnetic Resonance Imaging (MRI) technique is the most common one. Optimizing imaging protocols can have significant effect on the sensitivity and the dose resolution of polymer gel dosimeters. This study has investigated the effects of the number of echoes (NOE) and the echo time spacing (ES...

Coherent Raman scattering microscopy is an attractive new technology for label-free imaging. Both coherent anti-Stokes (CARS) and stimulated (SRS) offer the possibility to record hyperspectral imaging data. While analysis of spontaneous data multivariate methods are nowadays routinely employed, until date most interpreted using univariate analysis. In this work, we report a quantitative compari...

introduction range and diffusion of positron-emitting radiopharmaceuticals are important parameters for image resolution in positron emission tomography (pet). in this study, geant4 toolkit was applied to study positron diffusion in soft tissues with and without a magnetic field for six commonly used isotopes in pet imaging including 11c, 13n, 15o, 18f, 68ga, and 82rb. materials and methods gea...

Introduction Range and diffusion of positron-emitting radiopharmaceuticals are important parameters for image resolution in positron emission tomography (PET). In this study, GEANT4 toolkit was applied to study positron diffusion in soft tissues with and without a magnetic field for six commonly used isotopes in PET imaging including 11C, 13N, 15O, 18F, 68Ga, and 82Rb. Materials and Methods GEA...

Desorption electrospray ionisation (DESI) mass spectrometry images usually contain a large amount of information that can be difficult to interpret in an objective manner. We explore the use of imaging multivariate analysis (MVA) on DESI images of protein spots and rat brain sections to automatically assign peaks and improve discrimination of spatially important features. DESI parameters were o...

Polymer microarrays are a key enabling technology for high throughput materials discovery. In this study, multivariate image analysis, specifically multivariate curve resolution (MCR), is applied to the hyperspectral time of flight secondary ion mass spectroscopy (ToF-SIMS) data from eight individual microarray spots. Rather than analysing the data individually, the data-sets are collated and a...