Development of a Mobile Sensory Device to Trace Treatment Conditions for Various Medical Plasma Source Devices.

The emerging use of low-temperature plasma in medicine, especially in wound treatment, calls for a better way of documenting the treatment parameters. This paper describes the development of a mobile sensory device (referred to as MSD) that can be used during the treatment to ease the documentation of important parameters in a streamlined process. These parameters include the patient's general information, plasma source device used in the treatment, plasma treatment time, ambient humidity and temperature. MSD was developed as a standalone Raspberry Pi-based version and attachable module version for laptops and tablets. Both versions feature a user-friendly GUI, temperature-humidity sensor, microphone, treatment report generation and export. For the logging of plasma treatment time, a sound-based plasma detection system was developed, initially for three medically certified plasma source devices: kINPen® MED, plasma care®, and PlasmaDerm® Flex. Experimental validation of the developed detection system shows accurate and reliable detection is achievable at 5 cm measurement distance in quiet and noisy environments for all devices. All in all, the developed tool is a first step to a more automated, integrated, and streamlined approach of plasma treatment documentation that can help prevent user variability.

Fabrication of centimeter-scale and geometrically arbitrary vascular networks using in vitro self-assembly.

One of the largest challenges facing the field of tissue engineering is the incorporation of a functional vasculature, allowing effective nourishment of graft tissue beyond diffusion length scales. Here, we demonstrate a methodology for inducing the robust self-assembly of endothelial cells into stable three-dimensional perfusable networks on millimeter and centimeter length scales. Utilizing broadly accessible cell strains and reagents, we have rigorously tested a state space of cell densities (0.5-2.0 × 106 cell/mL) and collagen gel densities (2-6 mg/mL) that result in robust vascular network formation. Further, over the range of culture conditions with which we observed robust network formation, we advanced image processing algorithms and quantitative metrics to assess network connectivity, coverage, tortuosity, lumenization, and vessel diameter. These data demonstrate that decreasing collagen density produced more connected networks with higher coverage. Finally, we demonstrated that this methodology results in the formation of perfusable networks, is extensible to arbitrary geometries and centimeter scales, and results in networks that remain stable for 21 days without the need for the co-culture of supporting cells. Given the robustness and accessibility, this system is ideal for studies of tissue-scale biology, as well as future studies on the formation and remodeling of larger engineered graft tissues.