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28 result(s) for "Yaxiaer, Yalikun"
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Establishment of a heart-on-a-chip microdevice based on human iPS cells for the evaluation of human heart tissue function
Human iPS cell (iPSC)-derived cardiomyocytes (CMs) hold promise for drug discovery for heart diseases and cardiac toxicity tests. To utilize human iPSC-derived CMs, the establishment of three-dimensional (3D) heart tissues from iPSC-derived CMs and other heart cells, and a sensitive bioassay system to depict physiological heart function are anticipated. We have developed a heart-on-a-chip microdevice (HMD) as a novel system consisting of dynamic culture-based 3D cardiac microtissues derived from human iPSCs and microelectromechanical system (MEMS)-based microfluidic chips. The HMDs could visualize the kinetics of cardiac microtissue pulsations by monitoring particle displacement, which enabled us to quantify the physiological parameters, including fluidic output, pressure, and force. The HMDs demonstrated a strong correlation between particle displacement and the frequency of external electrical stimulation. The transition patterns were validated by a previously reported versatile video-based system to evaluate contractile function. The patterns are also consistent with oscillations of intracellular calcium ion concentration of CMs, which is a fundamental biological component of CM contraction. The HMDs showed a pharmacological response to isoproterenol, a β-adrenoceptor agonist, that resulted in a strong correlation between beating rate and particle displacement. Thus, we have validated the basic performance of HMDs as a resource for human iPSC-based pharmacological investigations.
Self-powered and speed-adjustable sensor for abyssal ocean current measurements based on triboelectric nanogenerators
The monitoring of currents in the abyssal ocean is an essential foundation of deep-sea research. The state-of-the-art current meter has limitations such as the requirement of a power supply for signal transduction, low pressure resistance, and a narrow measurement range. Here, we report a fully integrated, self-powered, highly sensitive deep-sea current measurement system in which the ultra-sensitive triboelectric nanogenerator harvests ocean current energy for the self-powered sensing of tiny current motions down to 0.02 m/s. Through an unconventional magnetic coupling structure, the system withstands immense hydrostatic pressure exceeding 45 MPa. A variable-spacing structure broadens the measuring range to 0.02–6.69 m/s, which is 67% wider than that of commercial alternatives. The system successfully operates at a depth of 4531 m in the South China Sea, demonstrating the record-deep operations of triboelectric nanogenerator-based sensors in deep-sea environments. Our results show promise for sustainable ocean current monitoring with higher spatiotemporal resolution. This study shows a self-powered deep-sea current measurement system using a triboelectric nanogenerator (TENG) that measures currents from 0.02 to 6.69 m/s and withstands over 45 MPa pressure. Successful operation at 4531 m depth in the South China Sea is demonstrated.
Label-free chemical imaging flow cytometry by high-speed multicolor stimulated Raman scattering
Combining the strength of flow cytometry with fluorescence imaging and digital image analysis, imaging flow cytometry is a powerful tool in diverse fields including cancer biology, immunology, drug discovery, microbiology, and metabolic engineering. It enables measurements and statistical analyses of chemical, structural, and morphological phenotypes of numerous living cells to provide systematic insights into biological processes. However, its utility is constrained by its requirement of fluorescent labeling for phenotyping. Here we present label-free chemical imaging flow cytometry to overcome the issue. It builds on a pulse pair-resolved wavelength-switchable Stokes laser for the fastest-to-date multicolor stimulated Raman scattering (SRS) microscopy of fast-flowing cells on a 3D acoustic focusing microfluidic chip, enabling an unprecedented throughput of up to ∼140 cells/s. To show its broad utility, we use the SRS imaging flow cytometry with the aid of deep learning to study the metabolic heterogeneity of microalgal cells and perform marker-free cancer detection in blood.
Bio-actuated microvalve in microfluidics using sensing and actuating function of Mimosa pudica
Bio-actuators and sensors are increasingly employed in microscale devices for numerous applications. Unlike other artificial devices actuated by living cells or tissues, here we introduce a microvalve system actuated by the stimuli-responsive action plant, Mimosa pudica (sleepy plant). This system realizes the control of the valve to open and close by dropping and recovering responses of Mimosa pudica branch upon external physical stimulations. The results showed that one matured single uncut Mimosa pudica branch produced average force of 15.82 ± 0.7 mN. This force was sufficient for actuating and keeping the valve open for 8.46 ± 1.33 min in a stimulation-recovering cycle of 30 min. Additionally, two separately cut Mimosa pudica branches were able to keep the valve open for 2.28 ± 0.63 min in a stimulating-recovering cycle of 20min. The pressure resistance and the response time of the valve were 4.2 kPa and 1.4 s, respectively. This demonstration of plant-microfluidics integration encourages exploiting more applications of microfluidic platforms that involve plant science and plant energy harvesting.
Hydrodynamic particle focusing enhanced by femtosecond laser deep grooving at low Reynolds numbers
Microfluidic focusing of particles (both synthetic and biological), which enables precise control over the positions of particles in a tightly focused stream, is a prerequisite step for the downstream processing, such as detection, trapping and separation. In this study, we propose a novel hydrodynamic focusing method by taking advantage of open v-shaped microstructures on a glass substrate engraved by femtosecond pulse (fs) laser. The fs laser engraved microstructures were capable of focusing polystyrene particles and live cells in rectangular microchannels at relatively low Reynolds numbers (Re). Numerical simulations were performed to explain the mechanisms of particle focusing and experiments were carried out to investigate the effects of groove depth, groove number and flow rate on the performance of the groove-embedded microchannel for particle focusing. We found out that 10-µm polystyrene particles are directed toward the channel center under the effects of the groove-induced secondary flows in low-Re flows, e.g. Re < 1. Moreover, we achieved continuous focusing of live cells with different sizes ranging from 10 to 15 µm, i.e. human T-cell lymphoma Jurkat cells, rat adrenal pheochromocytoma PC12 cells and dog kidney MDCK cells. The glass grooves fabricated by fs laser are expected to be integrated with on-chip detection components, such as contact imaging and fluorescence lifetime-resolved imaging, for various biological and biomedical applications, where particle focusing at a relatively low flow rate is desirable.
Microsecond cell triple-sorting enabled by multiple pulse irradiation of femtosecond laser
Femtosecond-laser-assisted cell manipulation, as one of the high throughput cell sorting techniques, is tailored for single-step multiple sorting based on controllable impulsive force. In this paper, femtosecond laser pulses are focused within a pocket structure and they induce an impulse force acting on the flowing objects. The impulsive force is shown to be controllable by a new method to adjust the femtosecond pulse properties. This allows precise streamline manipulation of objects having various physical qualities (e.g., weight and volume). The pulse energy, pulse number, and pulse interval of the femtosecond laser are altered to determine the impulsive force strength. The method is validated in single cell or bead triple-sorting experiments and its capability to perform streamline manipulation in as little as 10 μs is shown. The shift profiles of the beads acting under the impulsive force are studied in order to better understand the sorting mechanism. Additionally, beads and cells with different fluorescence intensities are successfully detected and directed into different microchannels, with maximum success rates of 90% and 64.5%, respectively. To sum up, all results suggest that this method has the potential to sort arbitrary subpopulations by altering the number of femtosecond pulses and that it takes the first step toward developing a single-step multi-selective system.
Mineralization Alteration Extraction Based on Residual Attention and Hybrid Convolution
Wall rock alteration is an important geological marker in prospecting, which can indicate the existence and location of ore bodies. Extracting mineralization and alteration information through remote sensing data and obtaining the spatial distribution characteristics of altered rocks have always been an important research content of remote sensing prospecting. Satellite remote sensing data, such as Landsat 8, has become a common tool for extracting altered mineral information due to its easy access, low cost, and high efficiency. To enhance the accuracy of extracting information on mineralized alterations, this study employs remote sensing technology to propose an Alteration Information Extraction Network combining Residual Attention and Hybrid Convolution (RAHC-AIE). Taking the Beitashan area in Xinjiang, China, as an example, the application of this method is studied. Firstly, the characteristics of the Landsat 8 OLI data are analyzed. Each mineralized alteration information characteristic bands were selected, and training samples were extracted via principal component analysis for the combined bands. We used band 2, band 5, band 6, and band 7 to extract hydroxyl alteration information, and band 2, band 4, band 5, and band 6 for iron-stained alteration information. Subsequently, the RAHC-AIE model is used to train the training samples. Finally, the trained RAHC-AIE model is used to extract the alteration information. The results reveal that the RAHC-AIE model’s overall accuracy (PA) in alteration information extraction is 98.61%. The category average pixel accuracy (MPA) is 95.76%, the Kappa coefficient (Kappa) is 85.79%, the average F1 score (Mean_F1) is 92.90%, and the frequency-weighted intersection and union ratio (FWIoU) is 97.47%. These metrics indicate the model’s strong performance. To validate these results, we conducted field validation and a laboratory analysis based on alteration mapping. The extraction result is good. This study shows that the RAHC-AIE model is an effective method for alteration information extraction. This can guide ore deposit searches and provide an important reference for accurate and rapid ore searching in the Beitashan area, as well as predicting and evaluating ore deposits in similar areas.
Revealing Spatial and Temporal Patterns of Cell Death, Glial Proliferation, and Blood-Brain Barrier Dysfunction Around Implanted Intracortical Neural Interfaces
Improving the long-term performance of neural electrode interfaces requires overcoming severe biological reactions such as neuronal cell death, glial cell activation, and vascular damage in the presence of implanted intracortical devices. Past studies traditionally observe neurons, microglia, astrocytes, and blood-brain barrier (BBB) disruption around inserted microelectrode arrays. However, analysis of these factors alone yields poor correlation between tissue inflammation and device performance. Additionally, these studies often overlook significant biological responses that can occur during acute implantation injury. The current study employs additional histological markers that provide novel information about neglected tissue components-oligodendrocytes and their myelin structures, oligodendrocyte precursor cells, and BBB -associated pericytes-during the foreign body response to inserted devices at 1, 3, 7, and 28 days post-insertion. Our results reveal unique temporal and spatial patterns of neuronal and oligodendrocyte cell loss, axonal and myelin reorganization, glial cell reactivity, and pericyte deficiency both acutely and chronically around implanted devices. Furthermore, probing for immunohistochemical markers that highlight mechanisms of cell death or patterns of proliferation and differentiation have provided new insight into inflammatory tissue dynamics around implanted intracortical electrode arrays.
Large-Scale Integration of All-Glass Valves on a Microfluidic Device
In this study, we developed a method for fabricating a microfluidic device with integrated large-scale all-glass valves and constructed an actuator system to control each of the valves on the device. Such a microfluidic device has advantages that allow its use in various fields, including physical, chemical, and biochemical analyses and syntheses. However, it is inefficient and difficult to integrate the large-scale all-glass valves in a microfluidic device using conventional glass fabrication methods, especially for the through-hole fabrication step. Therefore, we have developed a fabrication method for the large-scale integration of all-glass valves in a microfluidic device that contains 110 individually controllable diaphragm valve units on a 30 mm × 70 mm glass slide. This prototype device was fabricated by first sandwiching a 0.4-mm-thick glass slide that contained 110 1.5-mm-diameter shallow chambers, each with two 50-μm-diameter through-holes, between an ultra-thin glass sheet (4 μm thick) and another 0.7-mm-thick glass slide that contained etched channels. After the fusion bonding of these three layers, the large-scale microfluidic device was obtained with integrated all-glass valves consisting of 110 individual diaphragm valve units. We demonstrated its use as a pump capable of generating a flow rate of approximately 0.06–5.33 μL/min. The maximum frequency of flow switching was approximately 12 Hz.
Progress of Cell Sorting in Flow Cytometry
Flow cytometry is a powerful technique for rapidly analyzing the physical and biological characteristics of small biological particles, such as cells, as well as sorting specific targets. This capability has made it indispensable in a range of biological fields, including cell sequencing, drug development, medical diagnosis, and environmental monitoring. Over the past few decades, these areas have been revolutionized by significant advancements in flow cytometry, facilitated by the expansion of bio‐particle sorting applications. In particular, various innovative sorting technologies with improved detection accuracy have emerged. This paper reviews the principles and current development of conventional and microfluidic sorting approaches in flow cytometry and further introduces the diverse applications of flow cytometry in fields such as oncology and immunology. Despite notable progress, further research is essential to improve the accuracy of sorting and applicability of flow cytometry. This article presents an overview of the principles of flow cytometry and recent advancements in cell sorting methods, including traditional flow cytometry and emerging microfluidic techniques. Also, it reviews the applications of flow cytometry cell sorting across various biological fields.