Measurement Challenges for Medical Image Display Devices

Optical Adhesives and Screen Sealants for Foldable Displays: Analysis, Progress and Trends

The realm of flexible display devices, particularly centered around folding screen smartphones, is undergoing rapid advancements. As integral components, optical adhesives and screen sealants for these devices play pivotal roles in determining their overall performance. This paper provides a comprehensive overview of the evolution of display technology and display screens, delving into the critical function of optical adhesives within this framework. Notably, light-curing adhesives stand out for their paramount importance in display screen manufacturing, attributed to their swift curing capabilities. We synthesize the key research achievements and concomitant limitations pertaining to the characteristics of diverse flexible optical adhesives compositions over recent years. Furthermore, we delve into the influence of chemical modification techniques applied to various adhesive systems and the integration of physical doping fillers on enhancing the performance of screen sealants.

Novel approach for quality control testing of medical displays using deep learning technology

Objectives:In digital image diagnosis using medical displays, it is crucial to rigorously manage display devices to ensure appropriate image quality and diagnostic safety. The aim of this study was to develop a model for the efficient quality control (QC) of medical displays, specifically addressing the measurement items of contrast response and maximum luminance as part of constancy testing, and to evaluate its performance. In addition, the study focused on whether these tasks could be addressed using a multitasking strategy.Methods:The model used in this study was constructed by fine-tuning a pretrained model and expanding it to a multioutput configuration that could perform both contrast response classification and maximum luminance regression. QC images displayed on a medical display were captured using a smartphone, and these images served as the input for the model. The performance was evaluated using the area under the receiver operating characteristic curve (AUC) for the classification task. For the regression task, correlation coefficients and Bland-Altman analysis were applied. We investigated the impact of different architectures and verified the performance of multi-task models against single-task models as a baseline.Results:Overall, the classification task achieved a high AUC of approximately 0.9. The correlation coefficients for the regression tasks ranged between 0.6 and 0.7 on average. Although the model tended to underestimate the maximum luminance values, the error margin was consistently within 5% for all conditions.Conclusion:These results demonstrate the feasibility of implementing an efficient QC system for medical displays and the usefulness of a multitask-based method. Thus, this study provides valuable insights into the potential to reduce the workload associated with medical-device management the development of QC systems for medical devices, highlighting the importance of future efforts to improve their accuracy and applicability.

Single-Step Inkjet-Printed Dielectric Template for Large Area Flexible Signage and Low-Information Displays

In recent years, the proliferation of smart gadgets has increased the demand for information displays; fortunately, organic light-emitting diodes (OLEDs) show great promise for use in display, lighting, and signage contexts. This research demonstrates inkjet printing of dielectric materials to provide maskless emission area patterning and electrical isolation for large-area OLEDs on flexible/rigid indium tin oxide (ITO)-coated substrates, avoiding the need for typical photolithography steps, including etching and lift-off processes. We have studied the impact of impinged droplets' velocity fluctuations, which are measured in relation to their interaction with the substrate, allowing for the determination of the drop diameter and shape. The inkjet parameters, such as pulse waveform, pulse voltage, and pulse width, are controlled to provide consistently repeatable ejection of dielectric ink droplets. The single-step patterning of complex designs with a minimum opening of 18 μm features is successfully printed with high fidelity. The effect of substrate temperature on the printed template/structure size and shape is explored. We have successfully demonstrated an ultralarge-area (120 × 120 mm2) OLED signage application on inkjet-printed dielectric template (IJPDt). Standard small-area OLEDs (4 × 4 mm2) achieved a maximum brightness of 24480 cd m-2 at 10 V and a maximum current efficiency of 17 cd A-1 with a low turn-on voltage of 2.7 V.

Radiology Technologists' Perspective on Medical Imaging Device Use and Related Technologies: a Cross-sectional Survey with Respect to Hospital Type

This study aimed to evaluate radiology technicians' view on the use of medical imaging devices and related technology. A total of 142 radiology technicians from Turkey were included on a voluntary basis in this cross-sectional questionnaire-based study. The questionnaire form elicited items on sociodemographic and occupational characteristics and personal opinions regarding the use of medical imaging devices and related technology. Majority of technicians agreed or strongly agreed that they prefer the latest technology medical imaging devices (32.4 and 54.2%) and there is an increase in the number of medical imaging devices (36.6 and 35.9%) and medical imaging examinations (32.4 and 43.7%), while the growing societal demands in field of health have a role in the increase in the number of medical imaging devices (34.5 and 32.4%). However, a relatively lower percentage of technicians agreed or strongly agreed that the latest technology medical imaging devices should be purchased no matter how much it costs (31.7 and 33.8%) and the yearly increase in the number of imaging examinations indicates provision of an improved healthcare (21.1 and 23.2%). A higher agreement was reported by private hospital (3.9 ± 1.1, p = 0.035) and university hospital (4.1 ± 1.1, p = 0.009) employees vs. state hospital employees (3.4 ± 1.3) on the growing societal demands in field of health to have a role in the increase in the number of medical imaging devices. Apart from this, no significant difference was noted in opinions of technicians on the use of medical imaging devices and related technology with respect to hospital types. Our findings indicate that radiology technicians report a considerable imaging workload volume and a preference for working with higher number of medical imaging devices particularly those with the latest technology, whereas they also emphasize that the yearly increase in the number of imaging examinations does not indicate provision of an improved healthcare, and the cost should always be a criterion when purchasing the latest technology devices.

Induction Mechanism of Auditory-Assisted Vision for Target Search Localization in Mixed Reality (MR) Environments

In MR (mixed reality) environments, visual searches are often used for search and localization missions. There are some problems with search and localization technologies, such as a limited field of view and information overload. They are unable to satisfy the need for the rapid and precise location of specific flying objects in a group of air and space targets under modern air and space situational requirements. They lead to inefficient interactions throughout the mission process. A human being’s decision and judgment will be affected by inefficient interactions. Based on this problem, we carried out a multimodal optimization study on the use of an auditory-assisted visual search for localization in an MR environment. In the spatial–spherical coordinate system, the target flight object position is uniquely determined by the height h, distance r, and azimuth θ. Therefore, there is an urgent need to study the cross-modal connections between the auditory elements and these three coordinates based on a visual search. In this paper, an experiment was designed to study the correlation between auditory intuitive perception and vision and the cognitive induction mechanism. The experiment included the three cross-modal mappings of pitch–height, volume–distance, and vocal tract alternation–spatial direction. The research conclusions are as follows: (1) Visual cognition is induced by high, medium, and low pitches to be biased towards the high, medium, and low spatial regions of the visual space. (2) Visual cognition is induced by loud, medium, and low volumes to be biased towards the near, middle, and far spatial regions of the visual space. (3) Based on the HRTF application, the vocal track alternation scheme is expected to significantly improve the efficiency of visual interactions. Visual cognition is induced by left short sounds, right short sounds, left short and long sounds, and right short and long sounds to be biased towards the left, right, left-rear, and right-rear directions of visual space. (4) The cognitive load of search and localization technologies is significantly reduced by incorporating auditory factors. In addition, the efficiency and effect of the accurate search and positioning of space-flying objects have been greatly improved. The above findings can be applied to the research on various types of target search and localization technologies in an MR environment and can provide a theoretical basis for the subsequent study of spatial information perception and cognitive induction mechanisms in an MR environment with visual–auditory coupling.