Time Of Flight Technology Research Articles

Beyond Range: Innovating Fluorescence Microscopy

Time-of-Flight (ToF) technologies are developed mainly for range estimations in industrial applications or consumer products. Recently, it was realized that ToF sensors could also be used for the detection of fluorescence and of the minute changes in the nanosecond-lived electronic states of fluorescent molecules. This capability can be exploited to report on the biochemical processes occurring within living organisms. ToF technologies, therefore, provide new opportunities in molecular and cell biology, diagnostics, and drug discovery. In this short communication, the convergence of the engineering and biomedical communities onto ToF technologies and its potential impact on basic, applied and translational sciences are discussed.

Time‐of‐Flight Cameras in Computer Graphics

Abstract A growing number of applications depend on accurate and fast 3D scene analysis. Examples are model and lightfield acquisition, collision prevention, mixed reality and gesture recognition. The estimation of a range map by image analysis or laser scan techniques is still a time‐consuming and expensive part of such systems. A lower‐priced, fast and robust alternative for distance measurements are time‐of‐flight (ToF) cameras. Recently, significant advances have been made in producing low‐cost and compact ToF devices, which have the potential to revolutionize many fields of research, including computer graphics, computer vision and human machine interaction (HMI). These technologies are starting to have an impact on research and commercial applications. The upcoming generation of ToF sensors, however, will be even more powerful and will have the potential to become ‘ubiquitous real‐time geometry devices’ for gaming, web‐conferencing, and numerous other applications. This paper gives an account of recent developments in ToF technology and discusses the current state of the integration of this technology into various graphics‐related applications.

Survey of Pseudomonas aeruginosa and its phages: de novo peptide sequencing as a novel tool to assess the diversity of worldwide collected viruses

A collection of 15 newly isolated (bacterio)phages infecting the opportunistic pathogen Pseudomonas aeruginosa was established to investigate their global diversity and potential in phage therapy. These phages were sampled in 14 different countries traversing four continents, from both natural environments and hospital sewage. They all display unique DNA and protein profiles and cluster morphologically into six groups within the three major families of the Caudovirales. Extensive host range studies on a library of 122 AFLP-genotyped clinical P. aeruginosa strains (of which 49 were newly isolated at the University Hospital of Leuven, Belgium) showed that the phages lysed 87% of the strains. Infection analysis of outer membrane mutants identified 10 phages as type IV pili-dependent. More detailed information about the evolutionary relatedness of the phages was gathered by de novo peptide sequencing of major virion proteins using tandem Matrix-Assisted Laser Desorption/Ionization Time of Flight technology. Applying this technique for the first time to viruses, seven groups of closely related phages were identified without the need of prior knowledge of genome content and/or electron microscopic imaging. This study demonstrates both the epidemic population structure of P. aeruginosa and the global spread of P. aeruginosa phage species, and points at the resistance of two clinically predominant, widespread P. aeruginosa strains against phage attack.

IL2RA and IL7RA genes confer susceptibility for multiple sclerosis in two independent European populations

Multiple sclerosis (MS) is the most common chronic inflammatory neurologic disorder diagnosed in young adults and, due to its chronic course, is responsible for a substantial economic burden. MS is considered to be a multifactorial disease in which both genetic and environmental factors intervene. The well-established human leukocyte antigen (HLA) association does not completely explain the genetic impact on disease susceptibility. However, identification and validation of non-HLA-genes conferring susceptibility to MS has proven to be difficult probably because of the small individual contribution of each of these genes. Recently, associations with two single nucleotide polymorphisms (SNPs) in the IL2RA gene (rs12722489, rs2104286) and one SNP in the IL7RA gene (rs6897932) have been reported by several groups. These three SNPs were genotyped in a French and a German population of MS patients using the hME assay by the matrix-assisted laser desorption/ionization time of flight technology (Sequenom, San Diego, CA, USA). We show that these SNPs do contribute to the risk of MS in these two unrelated European MS patient populations with odds ratios varying from 1.1 to 1.5. The discovery and validation of new genetic risk factors in independent populations may help toward the understanding of MS pathogenesis by providing valuable information on biological pathways to be investigated.