SPIRO - the automated Petri plate imaging platform designed by biologists, for biologists.

Phenotyping of model organisms grown on Petri plates is often carried out manually, despite the procedures being time-consuming and laborious. The main reason for this is the limited availability of automated phenotyping facilities, whereas constructing a custom automated solution can be a daunting task for biologists. Here, we describe SPIRO, the Smart Plate Imaging Robot, an automated platform that acquires time-lapse photographs of up to four vertically oriented Petri plates in a single experiment, corresponding to 192 seedlings for a typical root growth assay and up to 2500 seeds for a germination assay. SPIRO is catered specifically to biologists' needs, requiring no engineering or programming expertise for assembly and operation. Its small footprint is optimized for standard incubators, the inbuilt green LED enables imaging under dark conditions, and remote control provides access to the data without interfering with sample growth. SPIRO's excellent image quality is suitable for automated image processing, which we demonstrate on the example of seed germination and root growth assays. Furthermore, the robot can be easily customized for specific uses, as all information about SPIRO is released under open-source licenses. Importantly, uninterrupted imaging allows considerably more precise assessment of seed germination parameters and root growth rates compared with manual assays. Moreover, SPIRO enables previously technically challenging assays such as phenotyping in the dark. We illustrate the benefits of SPIRO in proof-of-concept experiments which yielded a novel insight on the interplay between autophagy, nitrogen sensing, and photoblastic response.

The association between zero-crossing temperatures and accidents due to icy conditions.

AIMS: Rising temperatures lead to milder winters in Scandinavia. In certain regions, this could increase the number of winter days that fluctuate around 0°C (zero crossings). It has been frequently suggested that there is a higher risk of icy conditions during such days, which may lead to a predisposition to falls and road traffic accidents. Here, we examine the association between number of days with zero crossings and the number of hospitalisations and outpatient visits due to falls related to ice or snow or transport accidents. METHODS: We used Poisson regression to examine the association between the number of days with zero crossings and the incidence of inpatient and outpatient visits related to falls due to ice and snow and to transport accidents during 2001-2017 in the Swedish cities of Stockholm, Malmö and Umeå. RESULTS: We found a positive and significant association between the number of days of zero crossings and the number of in- and outpatient cases due to falls related to ice and snow. These associations were strongest in Umeå but less obvious in Stockholm and Malmö. In terms of injuries related to transport accidents, we saw a significant association between inpatient cases and number of zero crossings in Stockholm but not in Malmö or Umeå. CONCLUSIONS: An increased number of zero crossings may increase out- and inpatient visits related to falls due to ice and snow or transport accidents. This effect is more pronounced in the northern city of Umeå than in Malmö, a city in Sweden's southern-most region.

Sociodemographic inequalities in long-term exposure to air pollution, road traffic noise, and greenness: A population-based cohort study of women.

Background: Recent evidence suggests environmental health inequalities both within and between European countries and socially deprived groups may be more susceptible to pollution. However, evidence is still inconclusive and additional studies are warranted. This study aims to investigate sociodemographic inequalities in long-term residential exposure to air pollution, road traffic noise, and greenness, taking lifestyle and degree of urbanization into account. Methods: In total 20,407 women, born 1914-48 residing in Uppsala County, Sweden, were followed between 1997 and 2017. Time-varying sociodemographic variables were obtained from registers, and questionnaires provided lifestyle information. Generalized estimating equations were used to compute beta-coefficients (ß) and 95% confidence intervals (95% CI) for associations between sociodemographic and lifestyle variables and spatial-temporal modeled particulate matter (PM2.5, PM10), nitrogen dioxide (NO2), road traffic noise and greenness. All models were additionally stratified by urbanization type. Results: Urban area residency was the most important predictor of high exposure to air pollution and noise, and to low greenness. For instance, ß for NO2 was -2.92 (95% CI = -3.00, -2.83) and -3.10 (95% CI = -3.18, -3.01) µg/m3 in suburban and rural areas, respectively, compared with urban areas. For greenness, the opposite held true with corresponding ß of 0.059 (95% CI = 0.056, 0.062) and 0.095 (95% CI = 0.092, 0.098). Within urban areas, elderly, unmarried and well-educated women had the highest environmental burden. However, less pronounced, and even reversed associations were found in suburban and rural areas. Conclusion: This study provides evidence of a mixed pattern of environmental health inequalities across sociodemographic groups in urban areas.

Dairy herd health management activities in relation to training of veterinarians in motivational interviewing.

Communication has been identified as one constraint for cattle veterinarians to act as proactive health consultants. Motivational Interviewing (MI), an evidence-based client-centered communication methodology, may therefore be a useful tool in veterinary herd health management (VHHM). The aim of this exploratory study was to investigate associations between training in MI and different measures of performance in VHHM. MI skills of 36 Swedish cattle veterinarians randomly assigned to two groups - MI veterinarians (n = 18) who had received six-months training in MI and control veterinarians (n = 18) who were not trained - were assessed using the MI Treatment Integrity coding system. Skills were categorized as untrained, trained_poor, trained_near moderate and trained_moderate. Veterinarians each visited two to six cattle farms for VHHM consultations and revisited the same farms three to six months later to document implementation of recommendations. A gamma model and logistic or ordered logistic regression models were used to evaluate associations between MI training and performance measured as: a) proportion of consultations resulting in written herd health plans, b) proportion of recommended measures fully or partially implemented, c) Likert scores of different estimates of client satisfaction and d) total time during 6 months allocated to VHHM visits on cattle farms. We found no evidence of any significant effects of MI training on the eight performance variables analyzed. However, a pattern of numerically higher values (better performance) in trained veterinarians with poor or moderate MI skills than in untrained veterinarians was observed in most variables. Clients were highly satisfied with veterinarians' attitude, competence and time efficiency. Farms implemented a median of 66.7% (interquartile range: 50-100) of the measures partially or fully. Veterinarians allocated little time to VHHM visits (median: 2.2; interquartile range: 0.65-4.1 h per week of full-time work within cattle). Veterinarians with moderate skills spent 2.14 times more time on VHHM visits than untrained veterinarians, but the confidence interval was wide (0.88-5.21). The pattern of numerically higher values in trained veterinarians supported findings from other studies in the same project indicating a positive effect of MI training on VHHM. Our observations suggest a considerable potential to increase veterinarians' engagement in VHHM.