Photon-counting-based diffraction phase microscopy combined with single-pixel imaging

We propose a photon-counting (PC)-based quantitative-phase imaging (QPI) method for use in diffraction phase microscopy (DPM) that is combined with a single-pixel imaging (SPI) scheme (PC-SPI-DPM). This combination of DPM with the SPI scheme overcomes a low optical throughput problem that has occasionally prevented us from obtaining quantitative-phase images in DPM through use of a high-sensitivity single-channel photodetector such as a photomultiplier tube (PMT). The introduction of a PMT allowed us to perform PC with ease and thus solved a dynamic range problem that was inherent to SPI. As a proof-of-principle experiment, we performed a comparison study of analogue-based SPI-DPM and PC-SPI-DPM for a 125-nm-thick indium tin oxide (ITO) layer coated on a silica glass substrate. We discuss the basic performance of the method and potential future modifications of the proposed system

The complete chloroplast genome of a coastal plant, Euphorbia jolkinii (Euphorbiaceae)

The complete chloroplast genome sequence of a coastal plant, Euphorbia jolkinii Boiss. (Euphorbiaceae), was determined. The chloroplast genome was 162, 854 bp in length, consisting of a large single copy region (90, 726 bp), a small single copy region (18, 422 bp), and two inverted repeats (26, 853 bp). The chloroplast genome contained 115 genes, consisting of 80 unique protein-coding genes, 30 unique tRNA genes, four unique rRNA genes, and one pseudogene, rps16. GC content of the whole chloroplast genome was 35.6%. The phylogenetic analysis showed a close relationship between E. jolkinii and E. pekinensis Rupr. The sequence data would provide useful information to understand the evolutionary process of E. jolkinii

Dogs as Sentinels for Human Infection with Japanese Encephalitis Virus

Because serosurveys of Japanese encephalitis virus (JEV) among wild animals and pigs may not accurately reflect risk for humans in urban/residential areas, we examined seroprevalence among dogs and cats. We found that JEV-infected mosquitoes have spread throughout Japan and that dogs, but not cats, might be good sentinels for monitoring JEV infection in urban/residential areas

Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations

The rapid adoption of wireless sensor devices has made it easier to record location information of people in a variety of spaces (e.g., exhibition halls). Location information is often aggregated due to privacy and/or cost concerns. The aggregated data we use as input consist of the numbers of incoming and outgoing people at each location and at each time step. Since the aggregated data lack tracking information of individuals, determining the flow of people between locations is not straightforward. In this article, we address the problem of inferring latent people flows, that is, transition populations between locations, from just aggregated population data gathered from observed locations. Existing models assume that everyone is always in one of the observed locations at every time step; this, however, is an unrealistic assumption, because we do not always have a large enough number of sensor devices to cover the large-scale spaces targeted. To overcome this drawback, we propose a probabilistic model with flow conservation constraints that incorporate travel duration distributions between observed locations. To handle noisy settings, we adopt noisy observation models for the numbers of incoming and outgoing people, where the noise is regarded as a factor that may disturb flow conservation, e.g., people may appear in or disappear from the predefined space of interest. We develop an approximate expectation-maximization (EM) algorithm that simultaneously estimates transition populations and model parameters. Our experiments demonstrate the effectiveness of the proposed model on real-world datasets of pedestrian data in exhibition halls, bike trip data and taxi trip data in New York City

Detection and identification of Leishmania species within naturally infected sand flies in the Andean areas of Ecuador by a polymerase chain reaction

The surveillance of prevalent Leishmania and sand fly species in endemic areas is important for prediction of the risk and expansion of leishmaniasis. In this study, we developed a polymerase chain reaction (PCR)-based method for detection of Leishmania minicircle DNA within individual sand flies. Using this method, we detected minicircle DNA in 6 (3.3%) of 183 sand flies, while 5 (3.5%) of 143 were positive for Leishmania promastigotes in the same areas by microscopic examination. The species were identified as Leishmania (Leishmania) mexicana by nucleotide sequencing of the cytochrome b gene. Additionally, all the Leishmania-positive sand flies were identified as Lutzomyia ayacuchensis by the restriction enzyme digestion of the PCR-amplified 18S ribosomal RNA gene fragments. Since this combined method is relatively easy and can process a large number of samples, it will be a powerful tool for the rapid identification of prevalent sand fly and Leishmania species as well as monitoring the infection rate in sand fly populations in endemic areas.Fil: Kato, Hirotomo. Yamaguchi University; JapónFil: Uezato, Hiroshi. University of the Ryukyus; JapónFil: Katakura, Ken. Hokkaido University; JapónFil: Calvopina, Manuel. Kochi University. Kochi Medical School; JapónFil: Marco, Jorge Diego. Kochi University. Kochi Medical School; Japón. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Patología Experimental. Universidad Nacional de Salta. Facultad de Ciencias de la Salud. Instituto de Patología Experimental; ArgentinaFil: Barroso, Paola Andrea. Kochi University. Kochi Medical School; Japón. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Patología Experimental. Universidad Nacional de Salta. Facultad de Ciencias de la Salud. Instituto de Patología Experimental; ArgentinaFil: Gomez, Eduardo. Universidad Católica de Guayaquil; EcuadorFil: Mimori, Tatsuyuki. Kumamoto University; JapónFil: Korenaga, Masataka. Kochi University. Kochi Medical School; JapónFil: Iwata, Hiroyuki. Yamaguchi University; JapónFil: Nonaka, Shigeo. University ok the Ryukyus; JapónFil: Hashiguchi, Yoshihisa. Kochi University. Kochi Medical School; Japó

The E89K Mutation in the Matrix Protein of the Measles Virus Affects In Vitro Cell Death and Virus Replication Efficiency in Human PBMC

Matrix protein is known to have an important role in the process of virus assembly and virion release during measles virus replication. In the present in vitro study, a single mutation of E89K in the matrix protein was shown to affect cell death and virus replication efficiency in human PBMC. One strain with this mutation caused less cell death than the parental virus, and possessed high virus replication efficiency. Moreover, by Annexin V-FITC staining, polycaspase FLICA staining, and double labeling with poly-caspase FLICA and the Hoechst stain, the cell death seen was shown to be apoptosis