[KARLOTTA (Kids + Adolescents Research Learning On Tablet Teaching Aachen) - randomized controlled pilot study for the implementation of a digital educational app with game of skill for pediatric patients with inflammatory bowel disease]. / KARLOTTA (Kids + Adolescents Research Learning On Tablet Teaching Aachen) ­ randomisierte kontrollierte Pilotstudie zur Anwendung eines digitalen Lernspiels für pädiatrische Patienten mit chronisch entzündlichen Darmerkrankungen.

OBJECTIVES: Improvement of disease-specific knowledge in pediatric patients with inflammatory bowel disease (IBD) using a digital app and individualized teaching from physician to patient. METHODS: We developed an app for Android Software called KARLOTTA (Kids + Adolescents Research Learning On Tablet Teaching Aachen) with a game of skill and IBD questionnaire with visual feedback and high scores. Randomized controlled study as a pilot project with 30 IBD patients, aged 10-18 years. The intervention group used the KARLOTTA app on a tablet before every consultation during a 12-month period. Outcome parameters were an increase in knowledge, changes in quality of life and analysis of the feedback questionnaires for patient and physician. The statistical analysis was carried out with the X2 -test, Mann-Whitney-U test and descriptive analysis. RESULTS: KARLOTTA was played 55 times by 14 patients. In all patients (100%) gaps in knowledge could be discovered and specific teaching took place. In the KARLOTTA group, 11 of 14 patients (79%) had an increase in knowledge, in the control group 7 of 15 patients (47%), p-value of 0.08 with the X2 -test. There were no differences in results for quality of life. The app could be used without any problems in 87% of the appointments. CONCLUSIONS: The KARLOTTA app reveals individual gaps in knowledge, provides tailor-made physician-patient teaching and can be easily implemented in the outpatient clinic.

Highly Efficient Capture and Quantification of the Airborne Fungal Pathogen Sclerotinia sclerotiorum Employing a Nanoelectrode-Activated Microwell Array.

In this study, we present a microdevice for the capture and quantification of Sclerotinia sclerotiorum spores, pathogenic agents of one of the most harmful infectious diseases of crops, Sclerotinia stem rot. The early prognosis of an outbreak is critical to avoid severe economic losses and can be achieved by the detection of a small number of airborne spores. However, the current lack of simple and effective methods to quantify fungal airborne pathogens has hindered the development of an accurate early warning system. We developed a device that remedies these limitations based on a microfluidic design that contains a nanothick aluminum electrode structure integrated with a picoliter well array for dielectrophoresis-driven capture of spores and on-chip quantitative detection employing impedimetric sensing. Based on experimental results, we demonstrated a highly efficient spore trapping rate of more than 90% with an effective impedimetric sensing method that allowed the spore quantification of each column in the array and achieved a sensitivity of 2%/spore at 5 kHz and 1.6%/spore at 20 kHz, enabling single spore detection. We envision that our device will contribute to the development of a low-cost microfluidic platform that could be integrated into an infectious plant disease forecasting tool for crop protection.

Selective Single-Cell Sorting Using a Multisectorial Electroactive Nanowell Platform.

Current approaches in targeted patient treatments often require the rapid isolation of specific rare target cells. Stream-based dielectrophoresis (DEP) based cell sorters have the limitation that the maximum number of sortable cell types is equivalent to the number of output channels, which makes upscaling to a higher number of different cell types technically challenging. Here, we present a microfluidic platform for selective single-cell sorting that bypasses this limitation. The platform consists of 10 000 nanoliter wells which are placed on top of interdigitated electrodes (IDEs) that facilitate dielectrophoresis-driven capture of cells. By use of a multisectorial design formed by 10 individually addressable IDE structures, our platform can capture a large number of different cell types. The sectorial approach allows for fast and straightforward modification to sort complex samples as different cell types are captured in different sectors and therefore removes the need for individual output channels per cell type. Experimental results obtained with a mixed sample of benign (MCF-10A) and malignant (MDA-MB-231) breast cells showed a target to nontarget sorting accuracy of over 95%. We envision that the high accuracy of our platform, in addition to its versatility and simplicity, will aid clinical environments where reliable sorting of varying complex samples is essential.

Single ascospore detection for the forecasting of Sclerotinia stem rot of canola.

Smart-agriculture technologies comprise a set of management systems designed to sustainably increase the efficiency and productivity of farming. In this paper, we present a lab-on-a-chip device that can be employed as a plant disease forecasting tool for canola crop. Our device can be employed as a platform to forecast potential outbreaks of one of the most devastating diseases of canola and other crops, Sclerotinia stem rot. The system consists of a microfluidic chip capable of detecting single airborne Sclerotinia sclerotiorum ascospores. Target ascospores are injected into the chip and selectively captured by dielectrophoresis, while other spores in the sample are flushed away. Afterward, captured ascospores are released into the flow stream of the channel and are detected employing electrochemical impedance spectroscopy and coplanar microelectrodes. Our device provides a design for a low-cost, miniaturized, and automated platform technology for airborne spore detection and disease prevention.

Overcoming the sensitivity vs. throughput tradeoff in Coulter counters: A novel side counter design.

Microfabricated Coulter counters are attractive for point of care (POC) applications since they are label free and compact. However, these approaches inherently suffer from a trade off between sample throughput and sensitivity. The counter measures a change in impedance due to displaced fluid volume by passing cells, and thus the counter's signal increases with the fraction of the sensing volume displaced. Reducing the size of the sensing region requires reductions in volumetric throughput in the absence of increased hydraulic pressure and sensor bandwidth. The risk of mechanical clog formation, rendering the counter inoperable, increases markedly with reductions in the size of the constriction aperture. We present here a microfluidic coplanar Coulter counter device design that overcomes the problem of constriction clogging while capable of operating in microfluidic channels filled entirely with highly conductive sample. The device utilizes microfabricated planar electrodes projecting into one side of the microfluidic channel and is easily integrated with upstream electronic, hydrodynamic, or other focusing units to produce efficient counting which could allow for dramatically increased volumetric and sample throughput. The design lends itself to simple, cost effective POC applications.