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Rare particle enrichment plays a pivotal role in advancing numerous scientific research areas and industrial processes. Traditional enrichment methods encounter obstacles such as low efficiency, high cost, and complexity. Acoustic focusing, optical fiber detection, and electrical manipulation have shown potential in microfluidics for particle manipulation and analysis. This study pioneers the integration of the acoustic, optical, and electrical units to overcome the traditional limitations. The cooperative dynamics of acoustic and flow focusing are explored. The optical fibers with an enhanced detection algorithm greatly boost optical detection sensitivity. Furthermore, the droplet charging to enhance the tip charging phenomenon is complemented and validated. The detection and sorting accuracy of enriching large-size H22 cells reached 99.8% and 99.3%, respectively, with the target cell concentration increased by nearly 86-fold. Our work significantly enhances detection sensitivity and particle manipulation accuracy, ultimately offering a robust and reliable solution for generating droplets to enrich rare particles.
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http://dx.doi.org/10.1038/s44172-025-00427-0 | DOI Listing |
Menopause
September 2025
Department of Speech Language Pathology and Audiology, Northeastern University, Boston, MA.
Importance And Objective: Voice changes during menopause affect patients' communication and quality of life. This narrative review aims to provide a comprehensive exploration of voice changes during menopause. It presents objective and subjective/symptomatic changes as well as treatment options for this population.
View Article and Find Full Text PDFIEEE Trans Med Imaging
September 2025
In ultrasound imaging, propagation of an acoustic wavefront through heterogeneous media causes phase aberrations that degrade the coherence of the reflected wavefront, leading to reduced image resolution and contrast. Adaptive imaging techniques attempt to correct this phase aberration and restore coherence, leading to improved focusing of the image. We propose an autofocusing paradigm for aberration correction in ultrasound imaging by fitting an acoustic velocity field to pressure measurements, via optimization of the common midpoint phase error (CMPE), using a straight-ray wave propagation model for beamforming in diffusely scattering media.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
September 2025
Anhui Province Key Laboratory for Control and Applications of Optoelectronic Information Materials, School of Physics and Electronic Information, Anhui Normal University, Wuhu, Anhui 241000, China.
An integrated miniature time-of-flight mass spectrometer (TOF-MS) system coupled with a pocket-size 3D-printed laser-induced acoustic desorption (LIAD) source is described. This 3D-printed LIAD source utilizes only a miniature deceleration motor to achieve two-dimensional motion of the target surface, simplifying the source structure and improving the long-term stability of mass spectrometry measurements. It has been successfully applied to analyze the model molecule creatinine and ingredients in an energy beverage (Red Bull), where main natural nutrients were clearly identified.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Evolutionary Ecology, Leibniz Institute for Zoo and Wildlife Research, Berlin 10315, Germany.
Animals can improve their decision-making abilities by integrating information from multiple senses, which is especially beneficial when living in fluctuating environments. However, understanding how wild predators may use multimodal sensing when hunting prey in split-second interactions remains largely unexplored. As nocturnal hunters, bats rely on echolocation to navigate and to locate evasive prey, yet they have retained functional vision, despite the associated costs.
View Article and Find Full Text PDFPLoS One
September 2025
College of Information Engineering, Sichuan Agricultural University, Ya'an, Sichuan Province, China.
Animals communicate information primarily via their calls, and directly using their vocalizations proves essential for executing species conservation and tracking biodiversity. Conventional visual approaches are frequently limited by distance and surroundings, while call-based monitoring concentrates solely on the animals themselves, proving more effective and straightforward than visual techniques. This paper introduces an animal sound classification model named SeqFusionNet, integrating the sequential encoding of Transformer with the global perception of MLP to achieve robust global feature extraction.
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