Viewing stomata in action: Autonomous in planta imaging of individual stomatal movement links morphology and kinetics

Stomata regulate plant gas exchange with the environment, balancing between water loss and CO2 uptake. Gas exchange dynamics are influenced by traits such as stomatal morphology, size and density, which are commonly investigated using imprints and manual microscopy, methods that are destructive and time consuming. Moreover, these microscopic properties are statically sampled and related to the dynamic ensemble behavior: gas exchange of an entire plant or part of a leaf. Knowledge on how morphology, size and density of stomata influence the movement of individual stomata is limited. We developed a compact microscope system that can measure the kinetics of tens of stomata in vivo simultaneously, with sub-minute time resolution. The system can be deployed in the plant’s growth environment, at minimal impact on leaf microclimate. The characteristics of our microscope and data analyses are described, and we demonstrate its capabilities on Chrysanthemum morifolium with novel insight into individual stomata’s contribution to water-use efficienc

Endothelium-derived stromal cells contribute to hematopoietic bone marrow niche formation

Bone marrow stromal cells (BMSCs) play pivotal roles in tissue maintenance and regeneration. Their origins, however, remain incompletely understood. Here we identify rare LNGFR+ cells in human fetal and regenerative bone marrow that co-express endothelial and stromal markers. This endothelial subpopulation displays transcriptional reprogramming consistent with endothelial-to-mesenchymal transition (EndoMT) and can generate multipotent stromal cells that reconstitute the bone marrow (BM) niche upon transplantation. Single-cell transcriptomics and lineage tracing in mice confirm robust and sustained contributions of EndoMT to bone precursor and hematopoietic niche pools. Interleukin-33 (IL-33) is overexpressed in subsets of EndoMT cells and drives this conversion process through ST2 receptor signaling. These data reveal generation of tissue-forming BMSCs from mouse and human endothelial cells and may be instructive for approaches to human tissue regeneration

Mesenchymal inflammation drives genotoxic stress in hematopoietic stem cells and predicts disease evolution in human pre-leukemia

Mesenchymal niche cells may drive tissue failure and malignant transformation in the hematopoietic system but the molecular mechanisms and their relevance to human disease remain poorly defined. Here, we show that perturbation of mesenchymal cells in a mouse model of the preleukemic disorder Shwachman-Diamond syndrome induces mitochondrial dysfunction, oxidative stress and activation of DNA damage responses in hematopoietic stem and progenitor cells. Massive parallel RNA sequencing of highly purified mesenchymal cells in the mouse model and a range of human preleukemic syndromes identified p53-S100A8/9-TLR inflammatory signaling as a common driving mechanism of genotoxic stress. Transcriptional activation of this signaling axis in the mesenchymal niche predicted leukemic evolution and progression-free survival in myelodysplastic syndrome, the principal leukemia predisposition syndrome. Collectively, our findings reveal a concept of mesenchymal niche-induced genotoxic stress in heterotypic stem and progenitor cells through inflammatory signaling as an actionable determinant of disease outcome in human preleukemia

3D printed flexible capacitive force sensor with a simple micro-controller based readout

This paper describes the development of a proof of principle of a flexible force sensor and the corresponding readout circuit. The flexible force sensor consists of a parallel plate capacitor that is 3D printed using regular and conductive thermoplastic poly-urethane (TPU). The capacitance change due to an applied sinusoidal force is measured using an LCR meter. A proof of principle, using an oscillatory readout circuit consisting of only an operational amplifier and a frequency-counter based on an Arduino Nano, is provided. This indicates the possibility to implement low-cost capactive sensors into 3D printed objects, which is especially interesting for customised robotic and prosthetic applications

Modeling, Fabrication, and Testing of a 3D-Printed Coriolis Mass Flow Sensor

This paper presents the modeling, fabrication, and testing of a 3D-printed Coriolis mass flow sensor. The sensor contains a free-standing tube with a circular cross-section printed using the LCD 3D-printing technique. The tube has a total length of 42 mm, an inner diameter of about 900 µm, and a wall thickness of approximately 230 µm. The outer surface of the tube is metalized using a Cu plating process, resulting in a low electrical resistance of 0.5 Ω. The tube is brought into vibration using an AC current in combination with a magnetic field from a permanent magnet. The displacement of the tube is detected using a laser Doppler vibrometer (LDV) that is part of a Polytec MSA-600 microsystem analyzer. The Coriolis mass flow sensor has been tested over a flow range of 0–150 g/h for water, 0–38 g/h for isopropyl alcohol (IPA), and 0–50 g/h for nitrogen. The maximum flow rates of water and IPA resulted in less than a 30 mbar pressure drop. The pressure drop at the maximum flow rate of nitrogen is 250 mbar

Flow-Independent Thermal Conductivity and Volumetric Heat Capacity Measurement of Pure Gases and Binary Gas Mixtures Using a Single Heated Wire

Among the different techniques for monitoring the flow rate of various fluids, thermal flow sensors stand out for their straightforward measurement technique. However, the main drawback of these types of sensors is their dependency on the thermal properties of the medium, i.e., thermal conductivity (k), and volumetric heat capacity (ρcp). They require calibration whenever the fluid in the system changes. In this paper, we present a single hot wire suspended above a V-groove cavity that is used to measure k and ρcp through DC and AC excitation for both pure gases and binary gas mixtures, respectively. The unique characteristic of the proposed sensor is its independence of the flow velocity, which makes it possible to detect the medium properties while the fluid flows over the sensor chip. The measured error due to fluctuations in flow velocity is less than ±0.5% for all test gases except for He, where it is ±6% due to the limitations of the measurement setup. The working principle and measurement results are discussed

Lowering the sensory threshold and enhancing the responsivity of biomimetic hair flow sensors by electrostatic spring softening

We report improvements in detection limit and responsivity of biomimetic hair flow sensors by electrostatic spring-softening (ESS). Applying a DC voltage to our capacitive flow sensors results in a reduced sensory threshold, which gives an improvement for the flow detection limit of more than 30%. In addition, the mechanical transfer shows large (80% and more) voltage-controlled electro-mechanical amplification of the flow signal for frequencies below the sensor's resonance

A miniature microclimate thermal flow sensor for horticultural applications

Closely packed plant canopies have a negative influence on the uniformity of conditioned air and therefore induce physiological disorders inside plant production systems. Real-time leaf-level flow measurements help to improve the microclimate. This application needs a small and low-cost flow sensor for a flow regime up to 1 m/s . The chip that is presented in this paper consists of five suspended heavily p-doped silicon beams with resistors integrated in the tip. A fluid flow along these tips causes a temperature difference between the resistors by convective heat transfer, enabling calorimetric flow sensing. The 4.4 mm by 3.6 mm sensor is realized in a three-mask versatile fabrication process. The sensor shows a range of 1 m/s to 3 m/s for air with a maximum sensitivity of 1.8 mVs/m and a standard deviation-based accuracy of 3.6 cm/s. The sensor design is easily scalable in theory, hence, a redesign will be made with a slightly lower flow range to fully meet the requirements for the application

Patients’ Online Information-Seeking Behavior Throughout Treatment: The Impact on Medication Beliefs and Medication Adherence

Research on the longitudinal impact of using the internet as an information source on patients’ beliefs and medication adherence is scarce. Chronic patients (N = 107) from six hospitals were surveyed to longitudinally explore their online information seeking behavior throughout treatment (i.e., before the consultation about their newly prescribed medication in the initiation phase and after six months in the implementation phase) and how this affects their medication beliefs (concerns and necessity) and medication adherence after three weeks (T1) and six months (T2). Most patients (79%) used the internet. Patients who used the internet before the consultation reported to have more concerns about their medication at T1 and T2 compared to those who did not. Moreover, patients who used the internet throughout treatment valued their concerns higher than the necessity after six months (T2). Patients who used the internet after the consultation reported to be more non-adherent after three weeks (T1) compared to those who did not. Because of the longitudinal nature of this study, we were able to pinpoint in which treatment phase patients’ online information seeking behavior is particular relevant in affecting patients’ beliefs and medication adherence