Discover, rate, and discuss biology preprints.

This paper introduces MIRACLES, a method to image cell membrane potential dynamics using vibrational optoacoustic detection, and demonstrates its application in monitoring glucose-stimulated insulin secretion in beta-cells.

This study quantifies parasitic losses in UHF MRI receive coils and shows how they reduce predicted SNR, providing guidance for improving coil design.

This paper develops ovoprotein microgels for bioprinting that are structurally adaptive and biologically instructive, enabling vascularized and mineralized tissue constructs.

This paper compares deep learning models for improving 1H MRSI reconstruction, finding that U-Net outperforms MultiNet in reducing lipid artifacts and improving metabolite map fidelity.

This paper introduces DSI, a noninvasive ultrasound method to monitor coagulation and thrombolysis by tracking speed-of-sound shifts, and shows it can quantify clot formation and lysis in various biological systems.

This study evaluates a reusable non-adhesive wearable that estimates respiratory rate during rest and exercise using acoustic and inertial sensing, showing high accuracy in most conditions.

This study develops a patient-optimized bi-leaflet valve transplant using donor tissue and artificial chordae, demonstrating favorable hemodynamics in porcine models.

The paper develops a physics-based framework to link skin chromophore content to colorimeter-derived skin color coordinates, revealing how melanin and blood contribute to the banana-shaped locus in CIELAB space.

This paper designs and validates an active capsule endoscope using electromagnetic propulsion in ex-vivo porcine intestine models.

The paper investigates how cell mechanical properties affect microbubble-induced deformation and permeabilization at high frequencies, showing that viscoelasticity determines therapeutic outcomes.

The paper develops a multimodal model to predict biological age using vascular microstructure and biomechanical parameters in mice, achieving high predictive accuracy.

The paper develops ExACT, a platform for cell-type-selective drug delivery using transporters, showing selectivity for brain cell types and demonstrating its application with antisense oligonucleotides and small-molecule drugs.

This paper designs an online feedback control system using IMU data to optimize FES strength for drop foot patients, correcting pathological gait.

This paper proposes electroosmosis as a mechanism for interstitial fluid flow in the brain, showing it generates realistic velocities and explains glymphatic transport differences between sleep and wakefulness.

This paper develops BEACUN, a Bayesian-enhanced adaptive control method for optimizing LIFU neuromodulation protocols in rats, achieving faster convergence than conventional methods.

This study introduces Adaptive Charge Modulation (ACM) for spinal cord stimulation, achieving focal activation at deep tissue sites with reduced surface activation and muscle co-activation.

The paper decomposes trabecular separation into local trabecular spacing and marrow cavity expansion to better understand metaphyseal bone changes in osteoporosis, spinal cord injury, ovariectomy, and ageing.

This study shows that stage-adaptive integration of polydopamine coatings and nanoparticles enhances the maturation and secretory function of hPSC-derived alveolar organoids.

This paper introduces Mycoelectronics, a living fungal-based sensory platform that enables rapid thermal sensing and self-healing through bioprinted mycelium networks integrated with soft electronics.