Unexpected complication during extracorporeal membrane oxygenation support: Ventilator associated systemic air embolism

Systemic air embolism through a bronchovenous fistu-la(BVF) has been described in patients undergoing positive-pressure ventilation. However, no report has mentioned the potential risks of systemic air embolism through a BVF in patients undergoing extracorporeal membrane oxygenation(ECMO). Positive-pressure ventilation and ECMO support in patients with lung injury can increase the risk of systemic air embolism through a BVF. Increased alveolar pressure, decreased pulmonary venous pressure, and anticoagulation are thought to be the factors that contribute to this complication. Here, we present a case of systemic air embolism in a patient with ECMO and mechanical ventilator support.

Monolithically printed all-organic flexible photosensor active matrix

Upcoming technologies in the fields of flexible electronics require the cost-efficient fabrication of complex circuitry in a streamlined process.Digital printing techniques such as inkjet printing can enable such applications thanks to their inherent freedom of design permitting the mask-free deposition of multilayer optoelectronic devices without the need for subtracting techniques.Here we present an active matrix sensor array comprised of 100 inkjet-printed organic thin film transistors(OTFTs)and organic photodiodes(OPDs)monolithically integrated onto the same ultrathin substrate.Both the OTFTs and OPDs exhibited high-fabrication yield and state-of-the-art performance after the integration process.By scaling of the OPDs,we achieved integrated pixels with power consumptions down to 50 nW at one of the highest sensitivities reported to date for an all-organic integrated sensor.Finally,we demonstrated the application potential of the active matrix by static and dynamic spatial sensing of optical signals.

Real-time multiaxial strain mapping using computer vision integrated optical sensors

Soft strain sensors pose great potential for emerging human–machine interfaces.However,their real-world applications have been limited due to challenges such as low reproducibility,susceptibility to environmental noise,and short lifetimes,which are attributed to nanotechnologies,including microfabrication techniques.In this study,we present a computer vision-based optical strain(CVOS)sensor system that integrates computer vision with streamlined microfabrication techniques to overcome these challenges and facilitate real-time multiaxial strain mapping.The proposed CVOS sensor consists of an easily fabricated soft silicone substrate with micro-markers and a tiny camera for highly sensitive marker detection.Real-time multiaxial strain mapping allows for measuring and distinguishing complex multi-directional strain patterns,providing the proposed CVOS sensor with higher scalability.Our results indicate that the proposed CVOS sensor is a promising approach for the development of highly sensitive and versatile human–machine interfaces that can operate long-term under real-world conditions.