Real-time analysis of liquid jet sample delivery stability for an X-ray free-electron laser using machine vision.

Automated evaluation of optical microscopy images of liquid jets, commonly used for sample delivery at X-ray free-electron lasers (XFELs), enables real-time tracking of the jet position and liquid jet hit rates, defined here as the proportion of XFEL pulses intersecting with the liquid jet. This method utilizes machine vision for preprocessing, feature extraction, segmentation and jet detection as well as tracking to extract key physical characteristics (such as the jet angle) from optical microscopy images captured during experiments. To determine the effectiveness of these tools in monitoring jet stability and enhancing sample delivery efficiency, we conducted XFEL experiments with various sample compositions (pure water, buffer and buffer with crystals), nozzle designs and jetting conditions.

The effect of non-immersive virtual reality radiographic positioning simulation on first-year radiography students' image evaluation performance.

Introduction: Optimal radiographic image quality is critical because it affects the accuracy of the reporter's interpretation. Radiographers have an ethical obligation to obtain quality diagnostic images while protecting patients from unnecessary radiation, including minimizing rejected and repeated images. Repeated imaging due to positioning errors have increased in recent years.

Roadmap on Label-Free Super-Resolution Imaging.

Label-free super-resolution (LFSR) imaging relies on light-scattering processes in nanoscale objects without a need for fluorescent (FL) staining required in super-resolved FL microscopy. The objectives of this Roadmap are to present a comprehensive vision of the developments, the state-of-the-art in this field, and to discuss the resolution boundaries and hurdles which need to be overcome to break the classical diffraction limit of the LFSR imaging. The scope of this Roadmap spans from the advanced interference detection techniques, where the diffraction-limited lateral resolution is combined with unsurpassed axial and temporal resolution, to techniques with true lateral super-resolution capability which are based on understanding resolution as an information science problem, on using novel structured illumination, near-field scanning, and nonlinear optics approaches, and on designing superlenses based on nanoplasmonics, metamaterials, transformation optics, and microsphere-assisted approaches.

Using a customer discovery process to enhance the potential dissemination and scalability of a family healthy weight program for rural communities and small towns.

Aim: Customer discovery, an entrepreneurial and iterative process to understand the context and needs of potential adoption agencies, may be an innovative strategy to improve broader dissemination of evidence-based interventions. This paper describes the customer discovery process for the Building Healthy Families (BHF) Online Training Resources and Program Package (BHF Resource Package) to support rural community adoption of an evidence-based, family healthy weight program.

Methods: The customer discovery process was completed as part of a SPeeding Research-tested INTerventions (SPRINT) training supported by the U.

Building Healthy Families: Outcomes of an Adapted Family Healthy Weight Program Among Children in a Rural Mid-Western Community.

This study aimed to evaluate the effectiveness of implementing an adapted, evidence-based 12-week Family Healthy Weight Program (FHWP), Building Healthy Families, on reducing BMI metrics and clinical health indicators in a real-world community setting. Ninety child participants with a BMI percentile greater or equal to the 95th percentile for gender and age and their parents/guardians ( = 137) enrolled in the program. Families attended 12 weekly group-based sessions of nutrition education, family lifestyle physical activity, and behavior modification.