Medical imaging is a growing field that has stemmed from the need to conduct noninvasive diagnosis, monitoring, and analysis of biological systems. With the developments and advances in the medical field and the new techniques that are used in the intervention of diseases, very soon the prevalence of implanted biomedical devices will be even more significant. The implanted materials in a biological system are used in diverse fields, which require lengthy evaluation and validation processes. However, currently the evaluation of the toxicity of biomaterials has not been fully automated yet. Moreover, image analysis is an integral part of biomaterial research, but it is not within the core capacities of a significant portion of biomaterial scientists, which results in the use of predominantly ready-made tools. The detailed image analysis can be conducted once all the relevant parameters including the inherent characteristics of image acquisition techniques are considered. Herein, we cover the currently used image analysis-based techniques for assessment of biomaterial/cell interaction with a specific focus on unstained brightfield microscopy acquired mostly in but not limited to microfluidic systems, which serve as multiparametric sensing platforms for noninvasive experimental measurements. We present the major imaging acquisition techniques that enable point-of-care testing when incorporated with microfluidic cells, discuss the constraints enforced by the geometry of the system and the material that is analyzed, and the challenges that rise in the image analysis when unstained cell imaging is employed. Emerging techniques such as utilization of machine learning and cell-specific pattern recognition algorithms and potential future directions are discussed. Automation and optimization of biomaterial assessment can facilitate the discovery of novel biomaterials together with making the validation of biomedical innovations cheaper and faster.

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The Albanian Alps are situated in a mountainous block in the Northern Albania region, in the counties of Shkodër (also known as Shkodra or Gegëria) and Kukës (Kukësi). The nature of the mountainous terrain formation has led to the creation of isolated communities. The need for integrating these scattered communities into a cohesive co-operating community for area sustainability is now possible by using the Internet to link them all onto an online system. To deal with natural catastrophes, disaster management cells will be created which will serve as hubs. These hubs will be located at geographically strategic positions that will enable a predetermined geofenced region for evaluation of different disasters viz. forest fires, landslide, flooding, avalanches, the burial of villages under heavy snowfalls, etc. These cells will connect the particular case with the most appropriate disaster relief, rescue service and EMR (Emergency Medical Responder), first aid services (e.g. Green Crescent/Red Cross) and EMT (Emergency Medical Technician) personnel. The cells shall be managed by locally trained human resources with the necessary equipment to provide the monitoring/analyses and first aid assistance in case of need. The technology needed for the monitoring and geotechnical management of the isolated Alpine communities will be described. The socio-economic impact of the deployment of these technologies aiding in the sustainability of these vulnerable communities will conclude the research.

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